105 results about "Fault avoidance" patented technology

A method of fault tolerant operation of an adaptive computing system includes identifying a faulty resource in a signal path of the adaptive computing system, reconfiguring the signal path to avoid the faulty resource, estimating a time delay created by reconfiguring the signal path, and adjusting a system clock period to accommodate the time delay. In a preferred embodiment, an FPGA is configured into an initial self-testing area and a working area. Resources located within the self-testing area are tested and faulty resources identified. The FPGA is then reconfigured to avoid the identified faulty resources. When the resources are reconfigured for fault tolerant operation, signal path delays may be introduced into the system. If the signal path delays are in a critical path, a period of a system clock may be adjusted in order to insure proper fault tolerant operation.

The embodiment of the invention provides an alarm prediction method and device in service operation and maintenance and electronic equipment, and the method comprises the steps: obtaining a given number of historical alarm data of a target network element object before a current alarm period, and forming a historical alarm sequence; based on the historical alarm sequence, performing alarm prediction on the target network element object by using a trained hidden Markov prediction model, wherein the trained hidden Markov prediction model is obtained by performing initialization construction in advance by analyzing relationship information of a network element object, a network element fault and a network element alarm in a fault management system, and performing training by utilizing an original data sample selected according to the relationship information. According to the embodiment of the invention, the accuracy of alarm prediction in service operation and maintenance can be effectively improved, so that faults are effectively avoided or the influence caused by the faults is reduced.

The invention provides a method and device used for achieving state monitoring and fault diagnosis of a relay through monitoring and analyzing the change of a control system circuit and a controlled system circuit of the relay. According to the method used for state monitoring and fault diagnosis of the relay, a selected fault sample is processed by means of a mode recognition algorithm, a classifier used for state diagnosis of the relay is obtained, the discrimination function of each class is obtained, and a result of state monitoring and fault diagnosis and repairing and maintenance suggestions are provided for relevant workers. The method and device used for state monitoring and fault diagnosis of the relay of the relay have the advantages that defects of an existing relay detection technique are overcome, the timing sequence of turning on and turning off of the relay does not need to be learned, hidden danger of a fault can be predicated, and then the relay can be maintained in advance to avoid the fault.

The invention provides a power distribution network line fault risk day prediction method and system. The method comprises steps that the external environment information of the location area of a tested line on the prediction date, load prediction data of the tested line on the prediction date, an operation plan of the tested line on the prediction date and the self status information of the tested line on the prediction date are acquired; the acquired external environment information of the tested line on the prediction date, the acquired load prediction data of the tested line on the prediction date, the acquired operation plan of the tested line on the prediction date and the acquired self status information of the tested line on the prediction date are inputted to a pre-constructed line fault risk day prediction model, and a fault generation probability prediction value of the tested line on the prediction date is generated. The method is advantaged in that based on line load prediction, weather prediction, the operation plan, the line operation environment and other situations, line fault risk day prediction is carried out, so relevant fault avoidance measures are adopted, fault generation is avoided, and power supply reliability is guaranteed.

Provided is a low-current ground fault line selection device. Active domains of various line selection methods are determined through the rough set theory, the line selection methods comprise the group amplitude comparison and phase comparison method, the harmonic amplitude comparison and phase comparison method, the wavelet method, the first half-wave method, the active component method, the energy method and the like, reliability quantitative evaluation is conducted on the fault line selection result obtained in each line selection method according to fault signal characteristics, all the line selection methods are integrated by applying the evidence theory, and advantage complementation among all the line selection methods is guaranteed to the maximum. In order to prevent fault signals from being interfered to cause mistaken selection, the device utilizes the continuous line selection method, data are recollected to be analyzed at intervals of a certain time, and line selection calculation of the device will not stop as long as faults do not disappear.

The invention discloses an automatic power-down processing reliability test device and method for intelligent ammeters in an interference environment. The automatic power-down processing reliability test device comprises an automatic test controller, an inductive load switching device and at least two ammeters to be tested, wherein the automatic test controller is computer equipment which automatic testing software is installed in and is provided with a communication interface. The automatic power-down processing reliability test method comprises the following steps: an input power supply inside a switching device is switched off by controlling the inductive load switching device, a power supply of a paralleling reactor inside the switching device is switched off while the ammeters to be tested which are connected to a switching device voltage loop in parallel are powered down, an inductive load switching interference is generated in a simulated mode, and the inductive load switching interference is output to the voltage loop of the ammeters to be tested through a voltage interface; communication with the ammeters to be tested is conducted through an RS485 interface, operating data of the ammeters to be tested before being powered down and operating data of the ammeters to be tested after being powered up again for operation are detected, so that whether power-down processing of the intelligent ammeters to be tested under the inductive load switching interference is normal is judged, an assessment of the power-down processing reliability of the intelligent ammeters under the interference is realized, and faults are prevented from happening.

The invention discloses a method for detecting faults of spatial mechanical arms on the basis of particle filter algorithms. The method includes designing nonlinear disturbance observers on the basisof dynamic analytic models of the spatial mechanical arms, selecting Lyapunov functions on the basis of the nonlinear disturbance observers and proving convergence; designing sliding mode variable structure controllers and compensating for results obtained by disturbance observers so as to obtain joint angles of the spatial mechanical arms; evaluating measurement results of sensors by the aid of the particle filter algorithms due to noise between measurement values of the sensors and actual values of the joint angles, computing the probability that the spatial mechanical arms can reach targetjoint angles, combining curves of the disturbance observers with probability values obtained by means of computation, and comprehensively assessing the occurrence of the faults. Compared with other methods for detecting faults, the method for detecting the faults has the advantages that fault thresholds do not need to be set, and the fault diagnosis accuracy can be improved.

The invention discloses a railway distribution network fault information diagnosis system and method. The method comprises the steps of distribution network model constructing, fault information acquiring, fault alarm issuing, fault category identifying, fault information outputting and fault information recording. The method can timely determine the location of a fault, issues a fault alarm, reminds staff to deal with the fault in time, makes predictions about the type and cause of the fault, and automatically generates a guiding plan for the fault. Past solutions for the fault of the type and equipment to be carried are listed. The staff is guided to deal with the fault. The pertinence of fault handling is enhanced. Fault processing is speed up. Greater impact caused by the fault is avoided. The fault is recorded after the fault is processed. A data database is full and accurate. A data support is provided for future fault handling, and the accuracy of the system to determine the type of faults is improved.

The invention relates to the technical field of bullet train fault repair, in particular to a real-time acquisition and maintenance system of a vehicle fault. The real-time acquisition and maintenance system includes a processor, the processor is electrically connected with a vehicle condition information acquisition unit, an alarm unit, a positioning unit and a communication unit, the vehicle condition information acquisition unit includes a revolving speed detection module, a temperature detection module, a displacement detection module, an angular speed detection module and a data acquisition module, the alarm unit includes a data analysis module, the data analysis module is electrically connected with an abnormal alarm module, the abnormal alarm module is electrically connected with a buzzer and an alarm light, the data analysis module is electrically connected with a data transmission module, and the data transmission module is connected with the communication unit wirelessly. The real-time acquisition and maintenance system can timely discover the vehicle fault, avoid a safety accident caused by continuing to drive when the fault occurs, locate a vehicle in real time at the same time, and can help a driver to timely repair the vehicle fault.

The invention discloses an electromagnetic valve fault handling method based on automatic transmission control software. The method includes the step of judging the fault of an electromagnetic valve,the step of judging the fault B1 and the fault Cx, the step of judging the fault gear _B1 and the fault gear _Cx, the step of judging the fault gear, the step of judging the available gear and the step of judging the gear priority. The operating state of a clutch is judged by monitoring the state of the electromagnetic valve of the clutch, the unavailable gear caused by the fault of the clutch isset as the fault gear standardization amount, then the available gear during the fault of the electromagnetic valve is calculated, and finally in combination with the gear priority, the optimal driving gear is calculated. Compared with fault handling through fixed gears, the method of fault handling for the state of the electromagnetic valve can avoid the risk that combination gears of a fault clutch are not available.

The invention provides a detection method of a box-type transformer and the transformer. The detection method comprises the following steps of: ST1, starting a detection program; ST2, judging whetheran oil level state of a transformer chamber meets a preset state or not, if so, performing ST3 detection, and if not, judging that the box-type transformer fails; ST3, detecting environmental parameters of the box-type transformer, and judging whether a triggering condition for starting the fault detection module is met or not; ST4, carrying out detection according to the fault detection module, and judging whether the transformer has a fault or not; and ST5, executing transformer fault protection operation. According to the detection method of the box-type transformer, by setting a multi-level detection program, on one hand, the reliability of operation detection of the box-type transformer is ensured, and secondary damage to normal operation of the transformer due to the fact that a wrong operation instruction is given by misjudgment is avoided; and meanwhile, resource waste caused by continuous operation of a fault detection program is avoided.

The invention relates to a health management and fault early warning method for a wind turbine generator. The method comprises the steps: extracting health features of a whole fan; extracting features of specific faults of the fan; monitoring the overall health state of the fan; diagnosing a fault mode; and predicting a fan fault trend: predicting the fault development trend of the fan by adopting a Bayesian network, a multiple regression analysis method or a neural network according to different fault types, and timely arranging maintenance at the early stage of the fault so as to avoid shutdown caused by serious fault. Based on data mining, machine learning and other means, the operation mode of the fan is automatically recognized, and the health condition and the working performance of the fan are diagnosed in real time. Meanwhile, the fan fault mode is determined from historical data, defects and hidden dangers of key components are found and recognized in time, a basis is provided for efficiently arranging maintenance resources in a wind field, then health management and reliability maintenance of wind power equipment are achieved, and the service life of the components is prolonged.

The embodiment of the invention provides a fault injection method, platform and system, and relates to the technical field of fault injection. The fault injection method comprises the steps of obtaining fault injection information input by a user; generating a change application form according to the fault injection information, and sending the change application form to a management subsystem towait for auditing; receiving an auditing result sent by the management subsystem, and sending the auditing result to the user; and if the auditing result indicates that auditing is passed, acquiring fault information according to the user instruction, and injecting the fault information into the tested object. The fault injection method, and platform and system provided by the embodiment of the invention can supervise and control the whole process of fault injection, have the characteristics of automation, process and standardization, and can reduce or even avoid damage to the tested object inthe fault test process.

The invention relates to a substation secondary equipment fault early warning method and device, and belongs to the technical field of intelligent substations. The substation secondary equipment faultearly warning method comprises the following steps: establishing an equipment fault early warning rule base, wherein the equipment fault early warning rule base comprises a data type of each piece ofequipment and a corresponding alarm threshold value; generating a reference curve of each data type according to historical data of normal operation of the equipment; generating a real-time curve ofeach data type according to the real-time data of equipment operation; subtracting the reference curve and the real-time curve of the same data type, and obtaining an early warning result according tothe change of the obtained difference value and a corresponding warning threshold value; and performing early warning according to early warning result. According to the substation secondary equipment fault early warning method, fault early warning of the secondary equipment can be simply and efficiently analyzed, and operation and maintenance personnel can be helped to discover equipment defectsas soon as possible and maintain the equipment, and normal operation of the equipment is prevented from being influenced by faults.

The invention discloses a hard disk fault processing method for a distributed storage cluster. The method comprises the following steps: firstly, obtaining read-write IO time delay information of eachhard disk in each storage server in a distributed storage cluster; and then correspondingly judging whether each hard disk has a fault or not according to the read-write IO time delay information ofeach hard disk so as to isolate the faulted hard disk from the distributed storage cluster, thereby avoiding cluster data reconstruction caused by the faulted disk and influence on cluster service performance. The invention further discloses a hard disk fault processing system and device for the distributed storage cluster and has the same beneficial effects as the hard disk fault processing method.

The invention relates to an overhead line monitoring method, system and device and a server. The method comprises the following steps: receiving each real-time cable data, wherein the real-time cabledata comprises a line identifier of the overhead line and real-time current data of the overhead line; processing each real-time current data by adopting a fault current identification algorithm, anddetermining fault current data and a fault line identifier corresponding to a line fault when the line fault occurs; and obtaining a corresponding relationship between the line identifier and the position information, obtaining fault position information corresponding to the fault line identifier according to the corresponding relationship, and pushing the fault current data and the fault positioninformation to the target terminal device. According to the invention, the line fault is automatically judged through the fault identification algorithm, and the fault position information is acquired through the corresponding relationship between the line identifier and the position information, so that the fault position can be remotely positioned. Therefore, while the fault detection efficiency and the fault positioning efficiency are improved, the power line is prevented from being damaged by fault detection, and the damage risk of the power line is reduced.

The invention discloses a monitoring method for an expander. The monitoring method comprises the following steps of: detecting an associated log of the expander at regular time to find out error information which possibly occurs when the expander generates a fault; and when the error information is detected, calling the Expander detection tool to detect the Expander, and performing fault early warning of the Expander according to a detection result. By means of the monitoring method for the expander, early warning can be conducted before the expander breaks down so that operation and maintenance personnel can find and handle the fault in time, and therefore the fault can be effectively avoided, the safety of system operation is improved, and normal operation of system services is guaranteed. The invention further discloses a monitoring device and device for the expander and a computer readable storage medium, which have the above beneficial effects.

The invention discloses an input sampling device and a method thereof; the device comprises a system I, a system II, one and more safe input circuits, a module I, a module II and a clock circuit. Each safe input circuit comprises an encoding circuit; the clock circuit is respectively connected with the system I and the system II; under the control of synchronous signals output by the clock circuit, the system II outputs a code sequence and a reference clock signal to the module I, the module II and the encoding circuit; the encoding circuit inputs an external level input signal and the output encoding signal of the system II or a previous level of encoding circuit output signal; the encoding circuit is connected with the module I; and the module I converts the serial connection of the encoding circuit output signal into parallel connection and outputs the same to the system I, and meanwhile a digital signature signal is inlaid in. According to the invention, a response fault-safety strategy is adopted, mixed encoding is carried out to acquired external signals, so that the safety and the reliability of digital quantity input acquisition and communication processes, the failure identification rate and the safety level of the system are improved, quick fault identification and fault avoidance to dangerous failure can be carried out.

The invention discloses a safety loop system, which comprises a power supply adjusting unit, fault detection units and a safety protection unit. The power supply adjusting unit is used for supplying power to the fault detection units and the safety protection unit; the fault detection units are connected to the safety protection unit in parallel; the number of the fault detection units is multiple, the fault detection units are connected in parallel and distributed in different carriages respectively, each fault detection unit comprises a fault detection switch, which is used for switching onelectric connection between two ends of the fault detection switch when a system fault signal is detected. The invention further relates to a rail train. The invention has the advantages that: the fault detection unit of each carriage and the safety protection unit are connected in parallel to form a safety loop, safe operation of the rail train is ensured, the structure is simple, oxidation caused by actions of the fault detection switches can be avoided, the reliability is high, and low-carbon and environment-friendly effects are achieved.

The invention provides a control method and device of an air conditioner, the air conditioner and a computer readable storage medium. The air conditioner is provided with a plurality of hardware assemblies for adjusting environmental parameters. The control method comprises the steps that fault information of the hardware assemblies assigned by the air conditioner is obtained, and the fault information is sent to a server; a locking instruction of the server in response to fault information feedback is received, and the assigned hardware assemblies are locked according to the locking instruction; or a locking instruction fed back by the server is not received, and all the hardware assemblies are locked; or an operation instruction of the server in response to the fault information feedbackis received, and operation parameters of the assigned hardware assemblies are adjusted according to the operation instruction. The air conditioner locks the failed hardware assemblies according to the locking instruction, so that the enlarged hardware damage caused by continuous operation of the failed hardware assemblies is avoided, and meanwhile, the damage to users due to hardware fault is avoided.

The invention provides a data processing method, system and device based on the Internet of Things, and a medium, and the method comprises the steps: obtaining the registration information of equipment, and constructing network long connection according to the registration information; acquiring sensing data of the equipment through network long connection, and performing structured processing onthe sensing data to obtain a data packet; extracting the data packet according to a first preset threshold to obtain a first data set, obtaining a data packet of abnormal data, and performing fault prediction through a machine learning model to obtain a fault prediction result. According to the method, connection multiplexing can be realized, the time consumed for repeatedly establishing connection is saved, and the data exchange efficiency is improved; the dynamic extension capability of a lecture manuscript is realized, and the high availability is ensured; the fault data is predicted through machine learning, fault judgment can be carried out, false alarm of the fault data can be avoided, the performance bottleneck of a single-point fault is broken through, and the method can be widelyapplied to the technical field of the Internet of Things.

The invention relates to a distributed 10KV power distribution network measurement and control protection system and protection method, and the system comprises a comprehensive measurement and controlcommunication unit and a plurality of independent measurement and control protection units, wherein the comprehensive measurement and control unit achieves the distributed regional protection measurement and control through the communication between a serial port or an Internet access and the measurement and control protection units. The comprehensive measurement and control communication unit realizes communication data management of a 10kV switch cabinet and information interaction with a distribution network master station. The measurement and control protection unit realizes the isolationof a fault area and recovery of a non-fault area, and can achieve the intelligent FA protection logic. The comprehensive measurement and control management function for the 10KV urban power distribution network is achieved, the defect that traditional DTU equipment is only used for measurement and control and is not protected is overcome, faults can be recognized and isolated in time when the faults occur, the fault range is prevented from being enlarged, the reliability of the power distribution network can be effectively improved, the operation and maintenance workload is reduced, and the system has important significance in power distribution network development.

The invention discloses a fault prediction analysis method and model of industrial production equipment. The method comprises the following steps of S1, dividing equipment levels and collecting operation data, collecting the fault rate, the fault type and the fault reason of general equipment in each period, and for the key equipment, acquiring equipment operation data in real time, and S2, executing equipment fault prediction analysis. The step S2.1 is executed on general equipment. The invention relates to the technical field of industrial production equipment, and the fault prediction analysis method and model of the industrial production equipment acquire data through an equipment end, then transmit the data to a fault analysis system, and analyze the reason of the fault through the fault analysis system; and then the fault early warning unit receives the fault early warning information and sends an alarm to corresponding personnel and equipment, so that a fault can be quickly andaccurately found, a worker can maintain the fault conveniently, and normal operation of production equipment is prevented from being influenced by the fault.

A microbiological fuel cell fault diagnosis method based on wavelet-transformation is disclosed and relates to fuel cell fault diagnosis method. According to the method, output voltage signals acquired under different fault statuses are analyzed by utilizing frequency multiplication wavelet, reconstruction of high- and low-band signals is realized by calculating the wavelet coefficient , the fault-signal frequency-domain characteristic constant is extracted, and the main distribution status of the fault signals is displayed, and thus battery faults are diagnosed. The method is capable of realizing fault diagnosis of a microbiological fuel cell system, gives play to effects of early alarming, and reducing and avoiding fault scope, guarantees safe reliable operation of equipment, and possesses relatively high application value during actual engineering.

The invention discloses an actuating mechanism control system and method which are used for reducing the negative influence of out-of-control of an actuating mechanism on connected equipment. The system includes: a power source; a power switch which is electrically connected with the power supply; an actuating mechanism which is electrically connected with the power switch and is used for controlling the switching position of the actuating mechanism according to the received control signal; and a processing module which is in communication connection with the execution mechanism and the power switch and is used for sending a control signal to the execution mechanism and controlling the power switch to be switched off when the switch position after the execution mechanism executes control according to the control signal is not matched with the control signal. According to the scheme, the processing module can control the power switch to be switched off when the control signal is not matched with the switch position after execution control, so that the execution mechanism is powered off after the execution mechanism is out of control, and fault expansion is avoided.

The invention provides an equipment repair method and device. The equipment repair method comprises the steps of sending a self-checking instruction to target equipment, and obtaining fault information according to a self-checking result of the target equipment; and obtaining a repair scheme according to the fault information. A user can obtain the fault information of the equipment through equipment self-inspection, and fault misjudgment is effectively avoided, and unnecessary on-site maintenance cost caused by fault misjudgment is reduced.

The invention discloses an EMS fault detection method in EOL and an EMS offline detection method, and relates to the field of vehicle detection. The EOL detection method of the EMS comprises the steps that after the part number of the EMS is read and compared to be consistent with a preset reference part number, current and historical fault codes of the EMS are read; if a specified fault code is read, current snapshot data is read and sent to people for maintenance, wherein the snapshot data comprises fault generation time and vehicle state data at the time; and if a fault code is not read or a specified fault code is not read, the EMS is notified to clear the fault code, the current fault code of the EMS is read after the fault code is cleared, if the current fault code is not read, the EOL is detected to be qualified, and if the current fault code is read, data is sent to people for maintenance, wherein the first bit of the specified fault code is a P-series fault code, and the specified fault code is related to an engine emission system. Fault codes can be detected in time, and faults are prevented from flowing to the market.

The present invention discloses a fault prediction method and apparatus, and a fire fighting truck. The method comprises: analyzing all acquired data on a bus, so as to obtain each communication quality indicator used for reflecting communication quality of the bus; and determining whether each communication quality indicator is within a corresponding indicator value range, and if it is determined that at least one communication quality indicator is not within the corresponding indicator value range, determining that the bus has a fault risk, so as to predict occurrence of a bus fault, perform corresponding security processing on a bus system before the fault occurs, and avoid a risk brought by breakdown of the bus system when the fault suddenly occurs to an electrical system, thereby improving security and reliability of the electrical system.

A system includes a cell handler, a virtual path handler, a virtual channel handler, a trunk. and a controller. The controller initiates, based on issuing an instruction to the cell handler, a loop-back control test. The loop-back control test involving transmission of an operation and maintenance (OAM) cell from the cell handler, via the virtual path handler, the virtual channel handler, and the trunk, and back to the cell handler. The controller further monitors the OAM cell, detects a fault based on monitoring the OAM cell; and perform fault avoidance based on detecting the fault.