5876 results about "Fault rate" patented technology

The invention discloses a medical disposable electric motor saw, which comprises a handle and an enclosure main body, wherein a non-removable battery and a circuit control panel which is connected with the battery are arranged in the handle; a press part of the handle is provided with a speed adjusting switch which is connected with the circuit control panel; a hollow motor which is provided with a driving shaft is arranged in the enclosure main body; the battery is a rechargeable lithium battery; a charging socket is formed in the bottom or the lateral part of the handle; a sterile sealing bag is arranged on the outer sides of the handle and the enclosure main body. After the structure is adopted, and the hollow motor is used, the medical disposable electric motor saw is stable in transmission and good in braking performance, the weight of the medical disposable electric motor saw is about a half of that of an electric motor saw with a common motor, the structure is simple, the fault rate is low, the medical disposable electric motor saw is easy to carry and use, the manufacturing cost is low, the battery cannot be detached, so the loosening or dropping phenomenon cannot occur, and the completion quality of a surgery is effectively ensured. The sterile sealing bag is used, the wait for high-temperature high-pressure sterilization is not needed, and the medical disposable electric motor saw can be used any time. The precious operation time is saved for an emergency operation patient.

A method and apparatus for determining predicted failure rates for computational resources provided by a system comprising multiple components. The method comprises storing failure rate information about individual components and determining a current configuration of components within the system. The method further comprises identifying from the current configuration dependencies between components within the system. The stored failure rate information and the identified current configuration dependencies can then be used to generate predicted failure rates for the computational resources in the current configuration of the system.

A system for the representation, editing, evaluation, and inference of graphical models is disclosed which can be used to construct and evaluate a graphical model or graphical network and to calculate inference values. An efficient method of updating graphical models is demonstrated, and provides the basis for an improved system for manipulation and evaluation of probabilistic models. The graphical network editor is useful in the construction of graphical modes such as Bayesian Networks. The graphical network and network graphical user interface (GUI) are used in conjunction with each other to model a system wherein failure probabilities and the current state of components are taken into account to monitor the health and progress of a system for an engineer or engineering software to evaluate and monitor. The evaluation is useful in the monitoring of assets and other real systems having multiple, dependent, and independently operating components such as a pump, a manufacturing plant, a production line, an assembly line, where asset health and quality control is a concern. The asset components each influencing some overall outcome of a system or situation. Success or failure or probability of success, probability of failure and health of the system can be monitored and manipulated by altering the values of prior probability and posterior probability values. Failure correlation between components can be evaluated wherein failure rates of asset is unknown. Production and quality can be monitored and altered.

We describe a photovoltaic (PV) panel system comprising a PV panel with multiple sub-strings of connected solar cells in combination with a power conditioning unit (microinverter). The power conditioning unit comprises a set of input power converters, one connected to each sub-string, and a common output power conversion stage, to provide power to an ac mains power supply output. Integration of the micro-inverter into the solar PV module in this way provides many advantages, including greater efficiency and reliability. Additionally, embodiments of the invention avoid the need for bypass diodes, a component with a high failure rate in PV panels, providing lower power loss and higher reliability.

The present invention relates to a rail traffic real-time fault diagnosis method based on data comparative analysis and a rail traffic real-time fault diagnosis system based on data comparative analysis. The method comprises the steps of (1) collecting the historical monitoring data and real-time monitoring data of rail traffic signal equipment, (2) according to the correlation relationship between the parameters of the historical monitoring data, obtaining a comparative analysis model of a normal state and a fault state, (3) according to the comparative analysis model of the fault state, generating the classification model of fault through classifier training, (4) for the real-time monitoring data, judging the normal state or abnormal state of equipment operation through the comparative analysis model, and carrying out fault alarming if the state if the abnormal state, (5) for the data of the abnormal state, carrying out fault diagnosis and classification through a fault analysis model, and outputting a fault diagnosis result. According to the method and the system, the fault of the equipment is diagnosed through classification and comparative analysis methods, and the problems of heavy workload, low efficiency and high risk in the artificial diagnosis of a railway signaling system failure are effectively solved.

The invention discloses a dual-computer redundancy fault-tolerant system and the redundancy switching method. The system comprises an A computer, a B computer, redundancy switch control units in the A and B computers transmit respective switch signals to a redundancy switch selecting unit, and the final control signal generated by the redundancy switch selecting unit is transmitted to a controlled unit. The redundancy switch control unit includes an arbitrary switch unit, a heartbeat receiving unit, a power on-off unit and a monitoring unit. The method comprises the following steps: the two computers are powered up, a master computer and a slavery computer are decided by power up strategy; the states of the two computers are judged; if the two computers have no fault, the task segment of a system is judged: if the system is in normal task segment, a working computer powers up a backup computer, and executes cold backup strategy; if the system is in key task segment, the working computer powers down the backup computer, and executes hot backup strategy; if a single computer has fault which is restorable, the fault is restored, or else, the system enters into single computer state. The system has simple structure and reliable signal transmission; the method is easy to control, the system fault rate is greatly reduced, thus having good fault-tolerant effect.

The invention discloses an intelligent shopping cart. The intelligent shopping cart comprises a cart body, the cart body comprises an article containing basket and a handle, wherein the handle is provided with an operation panel, the operation panel is provided with a touch screen type computer with a displaying function and / or an operation function, the cart body is provided with an RFID label used for storing the intelligent shopping cart serial number information, and the cart body is further provided with a weight sensor and / or cameras connected with the touch screen type computer in a communication mode. The invention further discloses an intelligent shopping system and using method thereof and solves the inconvenience generated when a consumer pays an account for goods in supermarket shopping and the problem that the fault rate generated by the production selection through an RFIS technology is high.

The invention discloses a method and a system for remotely controlling an unmanned aerial vehicle to implement intelligent flight shooting through a mobile terminal. The method includes the steps: the unmanned aerial vehicle shoots an image and outputs an image signal; the mobile terminal receives the image signal and performs mode recognition data processing, and a remote control signal is sent to the unmanned aerial vehicle according to processing results; the unmanned aerial vehicle receives the remote control signal and performs intelligent flight shooting according to the remote control signal. The method and the system have the advantages that independently setting a DSP (digital signal processor) on the unmanned aerial vehicle to perform data processing in the prior art is replaced, the overall structure of the unmanned aerial vehicle is simplified, the unmanned aerial vehicle is better in carrying capacity, flight flexibility and cruising power, and fault rate of the unmanned aerial vehicle is decreased.

A warranty management system comprises a hardware device for inputting warranty information and a copy of a receipt. A network permits communication between the hardware device and a server. The server stores the warranty information and the copy of the receipt. The warranty management system also includes a means for verifying the authenticity of the warranty information and the related receipt. Some embodiments of the warranty management system may further include a means for comparing the failure rates of products and services.

The invention provides a task scheduling method and a system and aims at solving the problem of limitation of a system in task scheduling. The task scheduling method includes the following steps. Firstly, a task which is mature based on a set time are selected and designated as a postposed task. Plan performing time of a preposed task is calculated through a task scheduling reliance dimension table of the postposed task and a task sequence number of the preposed task is read from the task scheduling reliance dimension table. A performing state of the preposed task in a task scheduling operation result list is found out according to the task sequence number and the plan performing time of the preposed task. If performing is successful, the postposed task is lined up in a task queue and waits for scheduling performing. Under all circumstances, as long as a postposed task is confirmed, a preposed task can be found out and the postposed task can be performed as the preposed task is successfully performed so that the task scheduling system is modified. Scheduling time is shortened, scheduling efficiency is improved and fault rate is reduced.

The invention includes a method for determining a software reliability metric, including obtaining testing defect data, obtaining test case data, determining testing exposure time data using the test case data, and computing the software reliability metric using testing defect data and testing exposure time data. The defect data includes software defect records. The test case data includes test case execution time data. A testing results profile is determined using testing defect data and testing exposure time data. A software reliability model is selected according to the testing results profile. A testing defect rate and a number of residual defects are determined by using the software reliability model and the testing results profile. A testing software failure rate is determined using the testing defect rate and the number of residual defects. A field software availability metric is determined using the field software failure rate determined using the testing software failure rate.

Methods and systems for use in predicting wind turbine failures are provided. One example method includes determining a parametric profile for a component of a wind turbine from operating data of a plurality of wind turbines, determining an anomaly profile for the component of the wind turbine from anomaly alerts from a plurality of wind turbines, and determining a probability of failure for the component of the wind turbine based on the parametric profile and the anomaly profile. The parametric profile defines at least one parametric event associated with the component prior to failure of the component, and the anomaly profile defines at least one anomaly associated with the component prior to failure of the component.

The invention relates to an underground central pump room draining automatic monitoring system, which comprises a PLC control cabinet, a remote expanding module, a site data bus, a contact screen, an analog quantity and switching value input module, various monitoring probes, a travel switch, a level instrument and an executable section. A monitoring net adopts a form of combining a PROFIBUS DP site data bus and an industrial ethernet. A monitoring method for the system comprises: (1) monitoring the absorbing well water level; (2) monitoring the state for starting a high pressure switching cabinet by a water pump; (3) judging the valve levels of a gate valve, a ball valve of a water jet pumping device and a water distribution gate; (4) judging the valve levels of a vacuum pump ball valve; (5) measuring each equipment temperature measuring point; (6) measuring signals of a pressure sensor and a negative pressure sensor; (7) judging system faults; (8) automatically controlling the start-stop and operation numbers of the water pumps according to the absorbing well water level conditions; and (9) setting power supply peak avoiding time periods, and automatically selecting starting time and numbers of a pump. The system improves the system working reliability, reduces the equipment fault rate, and adopts a three-stage monitoring structure for a draining system.

Methodologies adjust a component failure rate for electric power network reliability analysis. A component may include subcomponents and the failure of each subcomponent may be feature dependent. Features are measurable or observable inputs, which can affect the life of one or more subcomponents. The failure rate of a particular component may be obtained according to its real conditions. The methodologies can be used to do condition-based reliability analysis for electric power networks, in order to obtain a maintenance / replacement / operation strategy.

The invention mainly discloses a method and device for producing spring bed core full-automatically; an automatic transmitter with simple and easy operation is used for connecting a spring coiling machine and a spring stringing machine integrally; under synchronous control, three machines coordinate the motion so as to realize full automatic production line from steel wire to bed core. The spring coiling machine equidistantly and horizontally outputs springs through a step conveying mechanism; the springs horizontally output adjust the turnover component of the automatic transmitter to be upright state and positioned into groups equidistantly by positioning components; the springs are pushed into the spring stringing machine from a conveying belt by means of the pushing component of the automatic transmitter to realize spring string. A full automatic production line is formed, and the steel wire as raw material is automatically made into the spring bed core, thereby greatly improving the production efficiency, shortening the production time in unit, reducing the labor intensity, and forming great economic benefit in enterprises; moreover, the obtained product has high quality and low defective rate, and the equipment failure rate is low.

Failure analysis method and apparatus using failure rate data in coordination with the power on hours to more efficiently resolve computer system failures without occupying system memory or processor bandwidth. In response to a system failure, a baseboard management controller (BMC) notes the time of failure and the elapsed operating time of system components. In response to a failure of the computer system, the BMC accesses industry standard failure rate data correlating the elapsed operating time with the probability of failure for each component. By cross-referencing the time of failure with the failure rate data, the BMC automatically determines the probability of failure of each component at the time of failure of the computer system. The BMC generates a component replacement list identifying the component that currently has the highest probability of failure.

A system and method for automatically adjusting one or more electrical parameters in a memory device, e.g., SRAM arrays. The system and method implements an SRAM sensing sub-array for accelerated collection of fail rate data for use in determining the operating point for optimum tradeoff between single event upset immunity and performance of a primary SRAM array. The accelerated fail rate data is input to an algorithm implemented for setting the SEU sensitivity of a primary SRAM memory array to a predetermined fail rate in an ionizing particle environment. The predetermined fail rate is maintained on a real-time basis in order to provide immunity to SEU consistent with optimum performance.

The invention discloses a method for evaluating voltage dip sensitivity of sensitive equipment, belonging to the field of electric measurement. A voltage dip frequency of a power grid in a time section and depth and duration time of each voltage dip are monitored at a measurement point so as to establish a small sample set of practical voltage dips of the power grid in the time section, and a final evaluation result depends on equipment fault rate caused by measuring the voltage dip each time, so that influence degree of running conditions of the power grid in the time section on the sensitive equipment is really reflected, and influence of the voltage dips caused by various short-circuit faults in the power grids with different structures on the sensitive equipment can be reflected, so that related departments is guided to take more reasonable control measures or providing a basis for calculating economic loss caused by the voltage dips. Therefore, the method can be widely applied to the field of power supply quality control and management of the power grid.

The invention discloses a time sequence classification early warning method for a storage device. The method comprises the steps of collecting storage device parameters in real time; cleaning data; performing ARIMA time sequence analysis; and performing logistic regression analysis and early warning mechanism output. Under the background of a big data environment, time sequence prediction analysisis performed by adopting an ARIMA model according to historical data and hard disk SMART information obtained by statistics; the correlation between a SMART eigenvalue and a fault rate of the storagedevice is analyzed; and an eigenvalue more suitable for a Logistic model is selected out to perform classification prediction. A machine learning method is adopted for predicting the fault rate of the storage device, so that the problems of classification singleness and low early warning intensity in final prediction of the storage device are solved, the defects of hysteresis, low accuracy, pooractual early warning effect and difficult application to the big data environment for a disk early warning mechanism in the prior art are overcome, the occurrence probability of each early warning intensity can be predicted, and an effective solution is provided for real-time operation maintenance and monitoring in a data center environment.

A startup control method of a BLDC motor is disclosed. The method can control the BLDC motor to prevent the generation of a transient current such that the vibration of the BLDC motor can be reduced at the startup stage and perform a stable conversion into a sensorless operation mode such that the startup failure rate of the BLDC motor can be reduced. The startup control method includes commutating a current applied to stator windings according to a rotor position. The method of operating the BLDC motor includes a rotor position that is forcibly aligned and so that phase commutation is performed, a back-electromotive force (back-emf) is detected from a lead voltage of a phase of a voltage which is not applied thereto after performing phase commutation and a determination is performed as to whether the detected back-emf is in a rising interval. The lead voltage of the phase of the voltage which is not applied thereto is integrated, such that if the back-emf is in a rising interval and if an instance that the integration result is greater than a predetermined value a phase commutation time point is set and conversion into a sensorless operation mode is performed if the back-emf detected from the lead voltage is in a stable interval, based on a frequency of the voltage applied to the stator winding.

The invention provides a novel relay type corridor elevator, which comprises a closed box body that is erected on a slope direction of a corridor; the closed box body is internally provided with an upper rail, a lower rail and a rail car; the rail car comprises a frame structure, an axle sliding seat, a rotating shaft, a first torsional spring and a pedal; the axle sliding seat is fixed on the frame structure of the rail car; the rotating shaft can be rotatably arranged on the axle sliding seat; a pedal shaft of the pedal is fixedly arranged on the rotating shaft; one end of the first torsional spring is fixed on the rotating shaft, and the other end of the first torsional spring is clamped on the frame structure; the rotating shaft is connected with a pedal opening and closing driving device used for driving to rotate; the pedal shaft is provided with an externally extending section; a bearing support upright rod is correspondingly arranged on the externally extending section; and the upper end of the bearing support upright rod is provided with a pedal releasing and triggering travel switch. The novel relay type corridor elevator has the advantages of high operation efficiency, greatly reduced fault rate, higher safety coefficient and good stability.

The invention discloses a stiffness-adjustable flexible joint actuator mechanism. The actuator mechanism is divided into an actuation end, an adjustment end and a flexible joint. The actuation end provides power for movement of the flexible joint, the adjustment end is responsible for changing stiffness of the flexible joint, and the flexible joint has the functions of relieving impact and adjusting stiffness. The actuator mechanism is additionally provided with a drive motor, and the joint can be actively driven to move. By the adoption of a variable-stiffness system in a curved bevel and rotary wheel matching structure, friction resistance is little and transmission is precise. Four absolute type encoders are installed, effective detection is achieved in the work process, sensitivity is high, and the fault rate is low. A shell is fully closed, the structure is compact, and the actuator mechanism can work in the severe environment. Changes of joint stiffness are linearly controllable from great flexibility to complete stiffness.

The invention discloses a pedestrian tracking method based on least square locus prediction and an intelligent obstacle avoidance model. The method comprises the steps of: first, utilizing a traditional Kalman algorithm to realize initial stage target tracking, and to overcome deficiencies; in order to solve the problem that the pedestrian tracking lost and fault rate of the Kalman algorithm is higher, a least square method being provided to perform pedestrian motion curve fitting, predicting a pedestrian position in a next video frame, and employing the position as an initial motion target for searching; and finally, tracking pedestrians based on a self-adaption obstacle avoidance method, and improving tracking accuracy.

The invention belongs to the field of power system reliability estimation, and relates to a method for estimating the reliability of an electric distribution system containing distributive wind power, photovoltaic and energy storage devices. The method comprises the following steps of: (1) acquiring configuration parameters of the electric distribution system; (2) forming a fault result list; (3) generating an energy storage charging and discharging state periodic list; (4) obtaining a normal running time TTF according to the fault rate of elements; (5) finding out an element which has TTFmin; (6) obtaining a fault time TTR according to the repair rate of the element, and calculating an energy storage state at the TTFmin moment; (7) searching the fault result list to determine a power failure situation of a load point in a non island area; (8) for an island area, calculating a draught fan real-time value, a photovoltaic real-time value and a load real-time value; (9) performing load attenuation on each island and recording the power failure situation of the load point in the island; (10) calculating the state variation of the energy storage of the island; (11) generating novel running time for the element and boosting a simulation clock to TTFmin+TTR; (12) searching for an element which is faulted at first again, and repeating the step (12) if the fault moment is less than the simulation clock, and if the fault moment is not less than the simulation clock, executing the step (13); and (13) judging whether the simulation clock is equal to a scheduled time length, and returning to the step (6) if the simulation clock is not equal to a scheduled time length; and if the simulation clock is equal to a scheduled time length, calculating a reliability index. By the method, the reliability level of the distribution system containing the distributive wind power, photovoltaic and energy storage devices can be estimated quantitatively.

A fault tree and analytic hierarchy process based evaluation method of the state of a power transformer specifically comprises the steps of performing analysis on fault factors; establishing a comprehensive evaluation index system of the state of the power transformer; building a judgment matrix by the three-scale analytic hierarchy process; sorting and calculating every index weight; calculating comprehensive indexes of the power transformer; grading the comprehensive indexes of the power transformer. According to the fault tree and analytic hierarchy process based evaluation method of the state of the power transformer, the reasonable comprehensive evaluation index system of the state of the power transformer is established through the analysis by the fault tree method, meanwhile a three-scale analytic hierarchy process based comprehensive evaluation model of the state of the power transformer is disclosed, and accordingly the comprehensive evaluation on the state of the power transformer is objective, the man-made influence factors are effectively reduced, and the operation personnel can understand the state of the power transformer, determine the level of the power transformer and arrange a maintenance plan reasonably through the comprehensive evaluation on the state of the power transformer.

The invention provides a data protection method and system capable of combining with a snapshot function based on distributed block storage. The data protection method comprises the following steps: directly or indirectly mounting a ceph block device on a production server; deploying a backup client on the production server, and installing an I / O drive program which realizes backup processing between a product server data volume and the ceph block device; through a backup server, establishing a mirror image relationship between the product server data volume and the ceph block device; and when a snapshot task is started, simultaneously writing data generated by the application of the production server into the product server data volume and a mirror image volume on the ceph block device, executing a snapshot on the mirror image volume on the ceph block device, and recording a snap time point and snap information to the backup server to bring convenience for subsequent recovery. The data protection method and system capable of combining with the snapshot function based on the distributed block storage can provide the backup data of which the fault-free rate is above 99.9999%, guarantees that the data can be recovered at any time, and provides data safety guarantee for users.

The invention discloses a power distribution system probability reliability assessing method based on an analytical method. The method comprises the steps that a given power distribution network is partitioned into a fault area, an isolation area, a gapless island area and an influence-free area are classified, a fault mode impact analysis sheet base is established, and parameters are initialized; a stimulation clock is initialized, a random number is generated, the minimum non-failure operation time is obtained according to failure rate parameters of all element state models, the fault isolation time and the load band transferring time are worked out, and the stimulation clock is pushed; the fault mode impact analysis sheet base is inquired, classifications of all cells are determined, whether an island is formed or not is judged, and different methods are adopted for processing the island area and the non-island area; the state sample of an energy storage device is established according to the energy storage device electrical charge state probability distribution obtained through the probability reliability calculating method; distribution probabilities of single-time fault indexes of load points are overlapped, and the probability reliability indexes of the loads and the system are calculated. The simulation speed is increased while certain calculation precision is ensured, and the power grid situation is comprehensively reflected.