223 results about "Fault modelling" patented technology

Simulation test equipment for validating the reliability of satellite attitude control and a test method thereof belong to the field of satellite attitude control. The test equipment comprises a ground simulation support module, a fault injection module and a satellite-born module, wherein, the ground simulation support module includes a monitoring terminal, a satellite model, a signal exciting source and a moment reverse-solution unit; the fault injection module includes an analog-to-digital converter, a signal transfer circuit, a fault injection processor, a man-machine interface unit and a digital-to-analog converter; and the satellite-born module includes a sensor, a satellite-born controller and an actuator. The test method comprises the following steps of: fault model setting; satellite initialization; orbit and attitude information renewal; the satellite-born controller collects signals of the sensor and outputs actuator command signals to the fault injection module; the actuator receives actuator pseudo command signals and outputs feedback signals to the fault injection module; the moment reverse-solution unit collects the pseudo feedback signals output by the fault injection module and outputs moment control signals to the satellite model. The equipment and the method of the invention have high feasibility and high performance-price ratio.

The invention provides a method and device for diagnosis and early warning of vehicle faults. The method includes the steps of establishing statistic models corresponding to various operation parameters in vehicles respectively according to the operation parameter data of a large number of vehicles, obtaining the operation parameter data corresponding to various fault types according to the maintenance records of the vehicles, determining parameter status data corresponding to the operation parameter date according to the statistic models, for each fault type, establishing a statistic model of the corresponding operation parameter status data to obtain the fault model, obtaining the operation parameter data reported by the vehicles in real time, determining the parameter status data corresponding to the operation parameter data according to the statistic model, performing abnormal alarm when abnormal operation parameters exist, determining whether the vehicles are going to break down or break down according to the fault model, and performing fault early warning or alarm when the vehicles are going to break down or break down. The method and device achieve automatic diagnosis and early warning of the vehicle faults.

A method and system for developing fault models from structured text documents, such as service procedures. A service procedure or other structured text document is parsed using diagnostic rules to extract symptoms, failure modes, and correlations. Testing procedures and repair instructions are also parsed to create a fault tree and identify additional symptoms and failure modes. Reachability analysis is then used to find hidden dependencies in the fault tree, thus yielding additional correlations. The resultant symptoms, failure modes, and correlations are then assembled into a fault model, which can be used for real-time fault diagnosis onboard a vehicle, or for off-board diagnosis at service shops.

The invention provides a method for diagnosing a fault by a functional fault directed graph, which can be applied to the field of fault diagnosis for some systems of aircrafts (such as an air source system, an anti-icing system and an air-conditioning system of an airplane gas path). The method comprises the steps of: decomposing a diagnosis object system to determine component relation and build a system structural model, confirming the corresponding input and output based on the component functions, determining the component fault model, analyzing fault propagation path and influence relation, setting test points and test information of a sensor, monitoring parameter variation that indicates the potential fault, forming an FF-SDG model, and at last, searching the potential fault source by a hierarchical policy inference method based on the FF-SDG model to perform fault diagnosis. The method can quickly and effectively find out the system fault source of the aircraft system, discover the fault cause, and make up shortage of the fault diagnosis technique based on manuals and cases when some fault cannot be predicated and the knowledge is difficult to be acquired by domain experts.

The invention discloses a power distribution network fault processing method based on multi-source information fusion. The method includes five steps of 1) multi-source information searching, 2) fault data information collection, 3) fault model matching, 4) fault location and 5) fault processing. According to the method, a fault source is located by means of multi-source information collection and information matching, then fault processing and disclosing are conducted, the specific fault source can be accurately and timely located when operation faults of a power distribution network occur, corresponding processing is conducted, an auxiliary decision making function is provided for first-aid repairing and management of the faults, automation building of the power distribution network can be promoted quickly, and good application prospects are obtained.

The invention discloses a dynamic correction method for reliability assessment of a large-sized oil-immersed power transformer; a transformer oil-paper insulating system is used as an assessment object, and two processes are involved; in the first process, with hotspot temperature calculation as the core, an HST-based (hotspot temperature) transformer aging fault model is established in conjunction with Weibull distribution and Arrhenius reaction law, winding HST is acquired by calculating, and fault rate gamma of the transformer oil-paper insulating system is solved; in the second process, with gray target correction analysis via dissolved gas in oil as the core, a relationship between transformer health state and its predicted life is established via grey theory, equivalent HST value is obtained, dynamic correction is provided for the basic model in the first process, and it is ensured that the assessment value is capable of well tracing and reflecting actual reliability level of the transformer. By using the method, it is possible to effectively solve the problems that, for instance, a transformer reliability analysis model has low accuracy and is difficult to popularize and apply.

The invention discloses a rigid spacecraft performer multi-fault diagnosis and fault tolerance control method. According to the method, the kinetic and dynamic model of a rigid spacecraft attitude control system is put forward, a fault model for existing of both the performance failure fault and the deviation fault of a rigid spacecraft is established, and then a fault detection observer adopting the adaptive threshold technology and a fault estimation observer based on the adaptive technology are respectively established so that online real-time detection and estimation of the fault time and the concrete situation of the fault can be realized, and finally a backstepping sliding mode fault tolerance controller is designed according to fault information established by the fault estimation observer. Attitude stabilization control of the rigid spacecraft under the condition of the performer efficiency damage and the deviation fault can be realized, and the influence of external disturbance on the system and the observers can also be considered in the design process. Besides, the fault detection observer and the fault estimation observer can be independently designed so that the engineering application can be more easily implemented.

The invention discloses a regional distributed photovoltaic fault diagnosis system and method for an access power distribution network. The system comprises a fault information detection sub-system, a fault data processing sub-system, a fault recognition sub-system, a fault model base sub-system, a fault alarm display sub-system and a fault feedback sub-system, wherein a photovoltaic grid connected point and power grid information are automatically obtained through the fault information detection sub-system and the fault data processing sub-system; fault information screening is carried out through classification, analysis and conversion; and the system is capable of automatically judging the fault type, analyzing the fault reasons, locating the fault position, automatically alarming at a fault point after judging the fault, and displaying detailed fault information according to the fault information processing result. The regional distributed photovoltaic fault diagnosis system provides a support for establishing a distributed photovoltaic power distribution network management system, and the operation security of the power grid is ensured.

The invention discloses a high-speed train traction transmission control system real-time fault simulation platform comprising four parts of a real-time simulator, a fault injection unit FIU, a physical traction transmission control unit TCU and a real-time data acquisition and monitoring unit. The real-time simulator comprises PC-dSPACE and real-time simulation software and is used for normal model and fault model simulation of all components in a traction transmission control system and real-time simulation monitoring; the fault injection unit FIU comprises virtual and physical parts and is used for realizing fault injection and level transformation of all types of faults of all components in the traction transmission control system at a signal level; the physical traction transmission control unit TCU is used for realizing feedback signal decoding and controlling generation of PWM signals and a protection function of the traction transmission control system; and the real-time data acquisition and monitoring unit is used for real-time simulation state monitoring and functions of data monitoring, storage control and historical data viewing of the whole platform.

The invention discloses a system for online diagnosis and preventive maintenance of a container crane based on big data. The system comprises a crane equipment layer, a sensor layer, a network layer and a data service layer, wherein the data service layer is further divided into a data analysis and model layer, a data application layer and a business system layer; the crane equipment layer receives operating parameters of the crane; the sensor layer receives sensor signals of key parts of the crane; the network layer transmits the operating parameters and the sensor signals to the data service layer; the data analysis and model layer presets a normal operating model and a fault model of the crane, and compares the operating parameters and the sensor signals with the model, so as to judge the operating state of the crane; the data application layer predicts the operating stable of the crane within a certain period of time in the future according to the operating parameters and the sensor signals, so as to generate a fault early warning; and the business system layer is provided with an external data interface, and outputs data of the data analysis and model layer as well as the data application layer to the outside world.

The invention discloses an aircraft attitude fault-tolerant control method based on dynamic control redistribution. The method includes the steps that firstly, an attitude angle rate loop dynamic equation of a near-space aircraft X-33 is given, and a control surface jamming and damage fault model is established; then according to the control surface damage fault model of an attitude angle rate loop, a self-adaptive sliding-mode observer is designed; the attitude angle loop and the designed observer dynamic equation are combined, and an angle loop controller and an angular speed loop controller are designed. Accurate damage fault information, interference information and the like are not needed, the information is implied in the designed self-adaptive sliding-mode observer, the implicit information is fed back to a pseudo control law and online distribution algorithm LMI in real time, and then robust fault-tolerant control is achieved. Finally, the designed method is applied to attitude stability control and tracking control of the near-space aircraft under the control surface fault condition, flight attitude robust fault-tolerant control is achieved, and good control performance and effects are achieved.

The invention discloses a high-speed angular contact ball bearing damage fault dynamic analysis method which is characterized by including the steps of (1) building a high-speed angular contact ball bearing dynamic model, (2) building a high-speed angular contact ball bearing damage fault model, (3) integrating the damage fault model with the high-speed angular contact ball bearing dynamic model to build a high-speed angular contact ball bearing damage fault dynamic model, and (4) carrying out numerical solution to obtain a dynamic response of a bearing under a fault situation and achieving dynamic analysis of a high-speed angular contact ball bearing damage fault. According to the method, three-dimensional motions, relative sliding and lubricating traction effects of the bearing element are taken into consideration, a comprehensive model of the damage fault is built in terms of mutual approach quantity, Hertz contact stiffness and contact load functions, analysis accuracy is improved, and the method for high-speed angular contact ball bearing damage fault dynamic researches is accurate.

The invention relates to the field of cluster storage and provides a failure detection method suitable to a large-scale storage cluster. According to the failure detection method, a failure detection module is arranged in a storage cluster system, a failure detection fault model used in the method is a failure / recovery model, and a transmission mechanism of failure node information used in the method is a spreading model permanently immune to infectious disease. By use of the method, the failure detection time is enabled to be unrelated to the scale of the storage cluster, the expansibility is excellent, and a stable low load is guaranteed under the condition that the large-scale storage cluster changes constantly.

The invention discloses a mechanical equipment fault early warning method and system based on an industrial internet of things and a readable storage medium. The method comprises the following steps:a sensor node collects state data of mechanical equipment and transmits the state data of the mechanical equipment to a data gateway for pre-judgment processing; if the absolute difference value between the current state data of the mechanical equipment and preset standard state data is larger than a preset threshold value, the state data of the mechanical equipment is uploaded to a cloud server;and the cloud server extracts characteristic values after preprocessing the state data of the mechanical equipment, and a classification fault model is utilized to conduct early warning and diagnosison the characteristic values data to obtain a diagnosis result. According to the disclosed mechanical equipment fault early warning method and system based on the industrial internet of things and thereadable storage medium, by collecting the state data of mechanical equipment, carrying out pre-judgment processing by utilizing the data gateway, uploading the abnormal status data to the cloud server and carrying out accurate warning by utilizing the preset classification fault model, accuracy of fault early warning and diagnosis of the mechanical equipment is improved.

The invention provides a hierarchical fault diagnosis method for electronic information equipment, and solves the problems that existing equipment fault diagnosis technology is low in fault detection rate and fault coverage rate, poor in fault isolation capacity and the like. The hierarchical fault diagnosis method includes the steps: firstly, analyzing an equipment fault mode: building an equipment fault model, extracting fault characteristics, and simulating, verifying and evaluating faults; secondly, building a hierarchical fault model: optimizing equipment fault mode analysis results and further reversely guiding system fault model hierarchical optimization; thirdly, building a fault diagnosis system: selecting software and hardware resources according to the fault mode analysis results and the hierarchical fault model obtained by the first step and the second step; fourthly, verifying equipment system-level fault diagnosis: finishing system-level diagnosis testing of the equipment.

The invention relates to a robust control and distribution method applied to a fault-tolerant flight control system and belongs to the technical field of aerospace fault-tolerant flight control. The robust control and distribution method includes linearizing an aircraft model to generate a control efficiency matrix, determining efficiency coefficient of each rudder side influencing three-axis posture control of the aircraft, building a fault model, converting fault parameter estimation problems into linear regression problems so as to estimate fault parameters by a least square linear regression method, calculating uncertainties of estimated fault parameter results corresponding to each rudder side by a fault projection method and weighting and smoothing; considering difference of the uncertainties of the fault parameters corresponding to the rudder sides, solving the problem about optimization of the minimum control distribution error under the worst condition, controlling and distributing robust, equivalently converting the problem of optimization into the problem of convex optimization, and solving to obtain the robust control and distribution results by a primal dual interior point method. Robustness of control and distribution is improved.

The invention relates to an embedded VxWorks based satellite attitude and orbit control system fault simulation system and method, which adopts a host computer and a target machine technology to realize a single machine model and a failure mode. The method comprises the following steps. A fault simulation host computer runs the Matlab modeling software, establishes a fault model based on Simulink, and generates a target application under the VxWorks real-time operating system under. A fault simulation target machine, connected with the fault simulation host computer through a network, runs the VxWorks real-time operating system and the target application for fault simulation. A fault injection and instruction control machine, connected with the fault simulation target machine and a satellite mounted single-mode machine respectively for transmitting the failure mode instruction of the single-mode machine to realize the switching between the single-mode simulation serial port of the fault simulation target machine and the real single-mode serial port of the satellite mounted single-mode machine. The system and the method of the invention can carry out fault diagnosis and system reconfiguration tests to improve the fault-tolerant ability of the single-machine hardware and the attitude track working in the failure mode of the satellite attitude control system so as to ensure the safety of the satellite.

The invention discloses an AADL based embedded software reliability model building and assessment method. The method comprises the steps that 1, an AADL reliability model of an embedded software is built; 2, the reliability elements of the AADL reliability model are extracted, a reliability model ZAL is built using a Z language, the model comprises a fault model, a structure model and a behavior model; 3, the discrete time Markov chain DTMC is used to describe the ZAL model, and a PCTL formula of describing the embedded software reliability is provided, the PCTL formula is computed using the proposed reliability assessment algorithm ZARE to perform the calculations, instantaneous availability is obtained, and reliability assessment is completed. The reliability model building and the assessment method expresses the embedded software in layers, clearly and concisely and is easy to understand, and ZAL as a formalized model can use model checking and similar methods to conduct rigorous analyses and assessments for reliability.

The invention discloses a method and a system for detecting a device fault. The method includes: 1, acquiring model parameters and a rule base, wherein the model parameters include a device type, a device structure, the number of measuring points, the distribution of the measuring points and the attributes of the measuring points, and the rule base includes fault types, corresponding fault characteristic parameters and set thresholds; 2, constructing the fault models of a device according to the model parameters and the rule base, wherein every device type corresponds to multiple fault types, and every fault model comprises the fault characteristic parameters, the set thresholds of the fault characteristic parameters, and the corresponding fault types; 3, acquiring the infrared thermogram of every measuring point of the device; 4, extracting the device characteristic parameters from the infrared thermogram according to the model parameters; and 5, acquiring the fault detection result of the device according to the fault models and the device characteristic parameters, wherein the fault detection result comprises the fault location and the fault severity level. The method and the system have the advantages of realization of the analysis of the running state of the device, realization of online detection, and improvement of the detection accuracy of the device faults.

The embodiment of the invention discloses a network fault detection method and a network fault detection device, applied to the field of communication technologies. In the method of the embodiment, a fault detection server acquires network communication information of a client in a content delivery network system, then the network communication information is matched with a preset fault model library, if the network communication information is matched with description information of a first fault model, namely values of a plurality of parameters in the network communication information are respectively in value ranges of corresponding parameters in the description information of the first fault model, it determines that a communication fault accords with the first fault model, and warning is sent to a corresponding content delivery network node. Compared with manual fault cause analysis in the prior art, the method provided by the embodiment of the invention can learn the fault the type of the current communication fault by matching collected information with the fault model library, so that a fault cause can be rapidly and accurately acquired by analyzing.

The invention discloses a fault diagnosis method and system for an intelligent electric meter, and an electronic device. The method comprises the following steps: S1, acquiring data; S2, extracting characteristic factors, establishing a fault label, and forming a fault portrait; S3, building a fault sensing model, and outputting a fault sensing result; and S4, comparing with a fault model libraryto complete fault cause positioning, suggestion processing or help guidance. The system comprises an intelligent diagnosis support center, an acquisition processing module, a fault sensing module, a fault diagnosis module and an operation and maintenance learning module. Based on operation and maintenance, environment, fault analysis, verification and detection, acquisition and other information,big data analysis and artificial intelligence technologies are utilized to carry out acquisition fault intelligent diagnosis model research, and the operation process guidance problems of accurate research and judgment of acquisition faults, qualitative analysis of equipment faults and field fault processing are solved.

The invention provides a KPCA-based fused magnesium furnace fault diagnosis method for fault separation and reconstruction. The method comprises the following steps: acquiring historical normal data of a fused magnesium furnace, historical fault data when the fused magnesium furnace generates a fault, and test data when a fault occurs in online monitoring; performing preprocessing on the historical normal data of the fused magnesium furnace and the historical fault data; performing high-dimension mapping and then PCA decomposition on the historical normal data of the fused magnesium furnace by use of a nucleus principal component analytical method; and performing diagnosing and fault reconstruction on the test fault data when the fault occurs in the online monitoring by use of a fault load vector set, determining a fault type, and recovering the fault data to corresponding normal data so that the fault is eliminated. According to the method provided by the invention, the fault separation and reconstruction problems of non-linear data of the fused magnesium furnace are solved, the test data when the fault occurs in the online monitoring can be monitored, only a fault model corresponding to a current fault can correctly remove fault information in the data, based on this, the fault type can be determined, and the purpose of fault separation is realized.

The invention provides a fault diagnosis device and method for a remote sensing satellite receiving system. The method includes the steps that state information of preset monitoring points in devices of the remote sensing satellite receiving system is acquired; parameters of the devices in a servo system, a tracking channel and a data receiving channel of the remote sensing satellite receiving system are set according to a test type, and then an automatic test is finished; various kinds of task information recorded through the remote sensing satellite receiving system in real time in the data receiving task execution process is acquired; according to the acquired state information of the monitoring points, the automatic test information and the various kinds of task information, fault diagnosis of the remote sensing satellite receiving system is finished by establishing a fault diagnosis model and a fault diagnosis expert system. By the adoption of the device and method, fault information in the system can be acquired, found and reported instantaneously, the system fault model is established, and quick and automatic fault diagnosis of the remote sensing satellite receiving system is achieved.

A partial discharge detection test platform of a medium-voltage switch cabinet comprises a metal cabinet, a fault model, three conducting rods and a signal detecting unit. The conducting rods are symmetrically vertically arranged in the metal cabinet, each conducting rod is formed by an upper conducting rod body and a lower conducting rod body, the upper ends of the upper conducting rod bodies penetrate through the top of the metal cabinet to be connected with wiring columns while the lower ends of the same are connected with the fault model the upper ends of the lower conducting rod bodies are connected with the fault model while the lower ends of the same are connected with the metal cabinet. The signal detecting unit comprises a ultrasonic wave sensor, a ultrahigh frequency sensor, a TEV (transient earth voltage) sensor, Rogowski coils, high-voltage probes, and a power-frequency high-voltage source, wherein the ultrasonic wave sensor and the ultrahigh frequency sensor are arranged near a square hole of the metal cabinet and respectively connected with a first digital oscilloscope and a second digital oscilloscope, the TEV sensor is adhered on the outer surface of the metal cabinet and connected with the second digital oscilloscope, the Rogowski coils are coiled on the lower conducting rod bodies, the high-voltage probes are arranged on high-voltage inlet wires of the insulator wiring columns, the Rogowski coils and the high-voltage probes are all connected with the first digital oscilloscope, and the power-frequency high-voltage source is connected with the wiring columns. The partial discharge detection test platform of the medium-voltage switch cabinet is capable of simulating partial discharging in the real switch cabinet, convenient to move and operate, considerable in insulation distance, and good in safety.

Cell-aware fault models for delay faults are created for library cells. Analog one-clock-cycle fault simulations are first performed on a transistor-level netlist of a cell to identify type one detectable defects and type two detectable defects in defects of interest. The type one detectable defects are detectable by one-clock-cycle testing and their fault models may be created based on results of the analog one-clock-cycle fault simulations. The type two detectable defects are defects for which two-cycle detection conditions may be calculated from corresponding results of the analog one-cycle fault simulations. Analog two-clock-cycle fault simulations are then performed for the rest defects in the defects of interest to determine type three detectable defects and their detection conditions. The created cell-aware fault models may be used to generate cell-aware test patterns.

The invention provides a routing method for preventing a mesh network from deadlock based on channel overlapping, which pertains to routing error-tolerance technology of a distributed high performance system and is characterized in that: every physical channel is divided into two virtual channels and certain virtual channels are allowed to be shared by different virtual subnets; in a two-dimensional mesh network, c1- channels are applied along the direction of x and c1 channels are applied along the direction of y; in a three-dimensional mesh network, virtual subnets x+y+z* and x+y-z* share the c1 channels along the direction of z and virtual subnets x-y*z+ and x-y*z- share c2 channels along the direction of y, wherein, '+' and '-' represent positive direction and negative direction of information transmission, '*' represents either positive direction or negative direction, therefore, a non deadlock plane adaptive routing is finished; meanwhile, minimum networking part fault models are respectively built in all three-dimensional planes and safety information at all diagonal lines therein is utilized to fulfill the fault-tolerant routing method free from deadlock. Compared with the existing PAR and GOMEZ methods, the method of the invention improves transmission performance of the whole network when standard input load is increased.

The invention discloses a method for judging the voltage compensation of a single-pole adaptive reclosure of an electric transmission line, which comprises the following steps of: 1) defining a fault phase through a phase selecting component in a line protecting device; 2) computing a computation fault phase terminal voltage value when having the temporary fault under the current system running state through a temporary fault model, and subtracting a practically-measured practical fault phase terminal voltage value to obtain a differential value; 3) judging to be a temporary fault and exporting the reclosure if the differential value computed in the step 2) is less than a set value; and 4) judging to be a permanent fault and not overlapping the reclosure if the differential value computed in the step 2) is larger than the set value. By setting the temporary fault model, and judging the temporary fault and the permanent fault with the differential value between the computation fault phase terminal voltage value and the practical fault phase terminal voltage value, the method can judge the property of the fault only with single terminal quantity without opposite-side information.

A method and system for comparing and merging fault models which are derived from different data sources. Two or more fault models are first represented as bipartite weighted graphs, which define correlations between failure modes and symptoms. The nodes of the graphs are compared to find failure modes and symptoms which are the same even though the specific terminology may be different. A graph matching method is then used to compare the graphs and determine which failure mode and symptom correlations are common between them. Finally, smoothing techniques and domain expert knowledge are used to merge and update the fault models, producing an integrated fault model which can be used by onboard vehicle systems, service facilities, and others.

The invention discloses a high-supersonic-speed aircraft adaptive compensation control method based on a neutral network. The method comprises the following steps of establishing a longitudinal dynamics model of a high-supersonic-speed aircraft, and decomposing the model into an attitude subsystem and a speed subsystem; establishing an elevator fault model of the high-supersonic-speed aircraft; constructing a smoothing function for estimating nonlinear input saturation, introducing a radial primary function neural network for estimating a nonlinear function in a longitudinal dynamic model of the high-supersonic-speed aircraft; and designing an adaptive compensation controller of the high-supersonic-speed aircraft and a corresponding parameter updating rule. The invention provides a radialbase neural network adaptive compensation control method in which elevator faults and input saturation are considered, thereby settling influence of various elevator faults and executor saturation tothe aircraft in the flight process of the high-supersonic-speed aircraft and ensuring high fault tolerance and high robustness of the system.