33results about How to "Fast fault diagnosis" patented technology

The invention discloses a rail transit vehicle equipment universal detection and fault diagnosis method and a system thereof. The method comprises the following steps: signals acquired through a data acquisition module are input to a fault diagnosis module to obtain a fault diagnosis conclusion; an expert system rule base is arranged in the fault diagnosis module; and a plurality of rules relevant to faults are stored in the expert system rule base; the expert system rule base adopts fault trees to represent the interrelationship of the various rules; a fault diagnosis process is served as a data matching process based on importance degree; the acquired data and the rules in the expert system rule base are matched from the highest importance degree to the lowest importance degree; if the matching is successful, a matching result is output and a fault conclusion is given out; and no fault occurs if the matching is not successful after the whole rule base is browsed. The rail transit vehicle equipment universal detection and fault diagnosis method and the system have good universality and are quick in fault diagnosis.

The invention discloses a phase failure diagnosis method of a permanent magnet synchronous motor (PMSM) drive system of an electric vehicle. According to the method, a drive failure of the PMSM drive system of the electric vehicle is detected based on detectable stator current, and a phase failure of the PMSM drive system can be diagnosed in real time in an on-line manner. The method can be applicable to running conditions of the electric vehicle, has technical advantages of high failure diagnosis speed, high diagnosis precision and the like, and is easily integrated with the control of the electric drive system to realize the safe and reliable running of the electric drive system.

The invention discloses fault handling method and device for a pumping well, a storage medium and an electronic device. The method comprises the following steps of, obtaining fault state information of the pumping well in a fault state, wherein the fault state information comprises at least one state keyword; looking up at least one target triplet that matches the state keyword in a plurality of triplets in a pre-created knowledge graph database; generating the triplet in the knowledge graph database based on historical fault data of the pumping well, wherein the historical fault data at leastcomprises historical fault types of the pumping well, fault state data corresponding to the historical fault types, and handling measure data; and obtaining target fault type data and / or target handling measure data of the pumping well based on the target triplet; and outputting the target fault type data and / or target handling measure data of the pumping well.

The invention provides a power electronic current converter and a control method capable of eliminating two-way fault current. The current converter comprises current conversion bridge arms connected through electric reactors. The current conversion bridge arms comprise T-shaped power submodules connected in series. The two horizontal ends of one T-shaped power submodule are connected through a capacitor and then connected with the vertical end of another T-shaped power submodule. The current conversion bridge arms are sequentially connected through the vertical ends, the electric reactors and the horizontal ends. Submodule controllers and optical fiber current mutual inductors of the current conversion bridge arms are connected with current conversion bridge arm controllers through optical fibers. The current conversion bridge arm controllers are connected with a current converter master controller. According to the control method, dual fault current protection is carried out on the power electronic current converter through a current detection method for a driving circuit and the current conversion bridge arms of a fully-controlled device. Compared with the prior art, the power electronic current converter and the control method capable of eliminating the two-way fault current can rapidly and effectively eliminate the two-way fault current.

The invention discloses a method for diagnosing an open-circuit fault of an LLC resonant converter based on the resonant capacitor voltage. According to the resonant capacitor voltage amplitude of the LLC resonant converter in normal operation, a reasonable threshold is set, and by sampling the resonant capacitor voltage after the fault, And compare it with the set threshold to realize the fault diagnosis; then through the phase shift control between the bridge arms to realize the fault location; the invention provides a method for diagnosing the open circuit fault of the LLC resonant converter, which has fast diagnosis speed and low misdiagnosis rate , strong robustness, and is of great significance for ensuring the uninterrupted operation of the LLC resonant converter in the case of an open circuit fault.

The present invention relates to the technical field of fault diagnosis of analog circuits, and provides an improved particle swarm optimization diagnosis method and system for simulating non-linear direct current circuits, so as to solve the problem of unknown fault states and multiple fault states of analog circuits by current fault diagnosis methods based on pattern classification Insufficient diagnostic ability of the problem, the method includes: establish a fault diagnosis equation; calculate the fitness value of each particle; calculate the uniform inertia weight of all particles; calculate the change of fitness value; determine the final inertia weight of each particle in the current iteration value; update the velocity and position of each particle of the particle swarm; repeat the above steps until the method converges. Compared with the standard PSO algorithm, the technical solution proposed by the invention has higher fault diagnosis coverage and faster fault diagnosis speed.

The invention discloses a power grid fault diagnosis method based on equipment failure probability, which includes collecting historical operation data of relay protection and circuit breakers through real-time perception of power equipment, and counting the failure probability of relay protection and circuit breakers; collecting data from the power grid fault information system The number of relay protection and circuit breakers and the configuration parameters between them; the actual action status of relay protection and circuit breakers, and the status of grid components are collected from the grid dispatching automatic control system; the actual action status and status of relay protection and circuit breakers The goal is to minimize the difference between the expected action state and the estimated risk, and build a multi-objective optimization model for power grid fault diagnosis based on the failure probability of relay protection and circuit breakers and the collected data; linearize the optimization model to obtain a linear optimization model; use Fuzzy optimization methods solve linear optimization models. The invention obtains more accurate and rapid fault diagnosis results by solving the multi-objective optimization model.

The invention relates to the field of lightning electromagnetic pulse protection, and specifically discloses a power carrier-based lightning electromagnetic pulse protection performance detection system and method. The detection system includes a host networking interface device, a state monitoring center and a multi-channel lightning electromagnetic protection real-time fault monitoring suppressor , the multi-channel lightning electromagnetic protection real-time fault monitoring suppressor is installed in the protection line; the detection method includes the following steps: S1, the multi-channel lightning electromagnetic protection real-time fault monitoring suppressor is used to set its unique address inside, and pass the status monitoring center. Address setting function. The invention can monitor the working state of the lightning suppressor online without disassembling the equipment, switch the bypass after the fault is judged, and eject the faulty component from the circuit breaker, and use the bypass to maintain the protection performance, so as to protect the aircraft against lightning and high intensity. Radiated field effects provide maximum protection, greatly reducing test cost and test difficulty.

The present invention provides a real-time fault diagnosis method and system based on sequential random forest, comprising: obtaining the residual signal to be tested of the nonlinear system to be diagnosed; extracting the time-frequency feature vector of the residual signal to be tested based on wavelet packet decomposition; The time-frequency feature vector is substituted into the random forest fault separator after training, and the sequential probability ratio test is performed on the nonlinear system to be diagnosed to obtain the target fault information; the target fault information includes the target fault type and the target fault occurrence time; the time The frequency feature vector and the target fault type are substituted into the trained regression random forest fault identifier to obtain the fault size information corresponding to the target fault type. The invention alleviates the technical problems in the prior art that real-time fault diagnosis cannot be realized and the rate of missed diagnosis and misdiagnosis are relatively high.

The invention discloses an open-circuit fault tolerance method for a permanent magnet direct-drive wind power generation system converter. The method comprises the following steps: setting current Park vector characteristic reference values for various phases of a converter for fault tolerance in advance; acquiring current Park vectors of various phases of the converter for fault tolerance, and determining absolute values of current Park vector phases; sequentially carrying out derivation and absolute value determination on the obtained absolute values to obtain measured current Park vector characteristic values; and for each phase of the converter for fault tolerance, judging whether the measured current Park vector characteristic value of the phase exceeds the current Park vector characteristic reference value or not, if so, judging that the phase is in an open-circuit fault, and carrying out fault tolerance control aiming at the fault phase with the open-circuit fault for fault tolerance. The open-circuit fault tolerance method has the advantages of good robustness, high fault diagnosis accuracy, high fault diagnosis speed, good fault tolerance performance and high system stability.

The invention discloses a track-control fault-tolerant control method for a reentry type aircraft during the off-track braking process. The method comprises the following steps of S1, during the off-track braking process, calculating the instruction speed in real time; S2, according to the instruction speed and the navigation speed, calculating the required speed of the aircraft; S3, according to the required change of the speed, judging whether a main engine has a fault or not; S4, if the main engine is judged to have a fault, conducting the emergency treatment. According to the invention, a track-control fault can be judged through continuously increasing the required speed. The method is feasible in algorithm and high in reliability and has obvious advantages.

The invention belongs to the technical field of electric power system transmission safety, and discloses an LSTM-based method and system for diagnosing a fault area of ​​an AC / DC hybrid power grid. Including: building a power system time-domain simulation model to simulate various working conditions to obtain the voltage amplitude of the entire network node and the corresponding label to obtain the basic sample set; using the sliding window method to intercept the basic sample to obtain the sample set for training the fault time judgment model and the fault area judgment model Carry out training and properly adjust the relevant parameters of the model; input the samples at the current sliding window time, the fault time judgment model judges whether a fault occurs, and if a fault is confirmed, input the samples into the fault area judgment model to obtain the fault location; finally output the current fault diagnosis information. The invention uses a deep neural network to quickly and effectively determine the time of fault occurrence in the power grid and determine the fault area, has better performance under different operating conditions and certain noise conditions, and can meet the needs of fault diagnosis in complex power systems.