68 results about "Fault avoidance" patented technology

The invention relates to the technical field of intelligent power distribution network automatic protection, and discloses a power distribution network fault strategy generation method, system and device based on a self-healing loop graph, and a medium, and the method comprises the steps: constructing a power distribution network topological graph, and recognizing a self-healing loop; generating a cooperative protection constant value based on the incidence relation of the dynamic correction path impedance and the protection device; a delay parameter is adjusted through conflict detection of the dynamic impedance track and the high-frequency phase sequence; simulating a fault action to generate an SOE event chain; identifying an abnormal time delay combination in combination with historical time delay distribution and marking conflicting nodes; adjusting parameters for the second time to generate a self-healing strategy matched with the topology; through multi-dimensional time sequence conflict detection and closed-loop feedback optimization, precise control of cooperative action of the protection device is realized, fault isolation delay and maloperation of a non-fault area are effectively avoided, and self-healing reliability and power supply recovery efficiency in a complex power distribution network scene are improved.

The invention relates to the technical field of safety valve fault monitoring, in particular to a safety valve full-life-cycle fault detection method and system, and aims to solve the problems that sudden safety accidents occur frequently due to the fact that a traditional method depends on leakage flow monitoring and cannot capture hidden faults such as valve element jamming and spring fatigue, a power supply system mostly adopts a single power generation mode, and the power consumption is low. In a low discharge scene, the electric quantity of the energy storage module is used up, and monitoring interruption is caused. According to the invention, the problems of safety valve hidden fault monitoring deficiency and unstable power supply are effectively solved. By means of multi-dimensional data collection, spring elasticity attenuation and valve element movement abnormity can be found in advance, and faults are prevented from being evolved into serious leakage. The composite power supply system maintains basic monitoring in the non-discharge stage, energy is quickly supplemented in the discharge stage, and continuous operation of the whole life cycle is guaranteed. A model analysis result can guide maintenance personnel to accurately position a fault part, and unnecessary shutdown maintenance is reduced.

Disclosed in the present application are a fault detection method, a fault detection apparatus, a computer device, and a storage medium. The method comprises: on the basis of the opening degree of a flow control apparatus and a preset mapping function, calculating a first flow coefficient; on the basis of a first operating parameter of the flow control apparatus and a second operating parameter of a compressor, calculating a second flow coefficient; and on the basis of a deviation between the first flow coefficient and the second flow coefficient, performing fault detection on the flow control apparatus, so as to determine a fault detection result. By comparing a flow coefficient, which is obtained by means of real-time detection, with a theoretical flow coefficient to obtain a deviation therebetween, fault detection can be performed on a flow control apparatus in a timely manner, which is conducive to avoiding the impact of a faulty component in a timely manner, thereby improving the stability and reliability of an air conditioning system.

The invention discloses a power distribution control method and system based on an urban network, and relates to the technical field of power distribution control, and the method comprises the steps: monitoring the operation parameters of a power grid in a governed power distribution region in real time at an edge calculation terminal disposed at the edge side of a power distribution network; and when it is monitored that the power grid operation parameters are abnormal, determining fault occurrence and a specific position of a fault section based on a preset fault diagnosis model. According to the method, the edge computing terminal is deployed on the edge side of the power distribution network, real-time monitoring of the operation parameters of the power grid in the jurisdiction area is achieved, when the parameters are abnormal, the fault section can be rapidly positioned by means of the preset fault diagnosis model, the fault response speed is greatly improved, and the problem that decision-making time is long in a traditional centralized master station mode is solved. The edge computing terminal can directly generate an instruction isolation fault, and the fault range is prevented from being expanded.

The invention provides a method for reducing the failure rate of a unit air cooling island speed reducer. The method comprises the following steps that S1, a multi-module cooperative prevention and control system is built; s2, configuring a parameter monitoring module assembly; s3, standardizing the installation standard of the sensor; s4, building a data transmission and analysis platform; s5, starting an intelligent diagnosis and data tracing function; s6, executing a monitor calibration and maintenance process; s7, carrying out preventive maintenance operation; s8, starting a working condition linkage adjusting mechanism; s9, activating an operation and maintenance training auxiliary module; and S10, a supplement lubricating oil leakage monitoring link. According to the method for reducing the failure rate of the unit air cooling island speed reducer, full-dimension real-time monitoring and intelligent diagnosis of operation parameters of the speed reducer are achieved by building a multi-module cooperative prevention and control system, and by combining graded early warning and preventive maintenance, fault hidden dangers are accurately positioned and handled; the working condition linkage adjusting mechanism can actively adjust the operation state when parameters are abnormal, and fault expansion is avoided.

This application provides a method, apparatus, and storage medium for collecting memory fault information, relating to the field of data storage, and capable of preventing missed fault information reports. The method is applied to a server, which includes memory, an out-of-band controller, and an in-band controller. The method includes: during server operation, the in-band controller performs fault detection on the memory and sends the detected fault information to the out-of-band controller; during server restart, if the server's startup mode is a cold restart, the in-band controller determines whether new fault information exists in the memory, wherein the new fault information is fault information not stored in the out-of-band controller; if new fault information exists in the memory, the in-band controller sends the new fault information to the out-of-band controller.

The invention discloses a wind facing deviation identification method and device for a wind turbine generator, electronic equipment and a storage medium, and belongs to the technical field of wind turbine generator fault diagnosis, and the method comprises the steps: obtaining historical fault signals of a wind direction sensor of the wind turbine generator, generating a fault signal data set, and counting fault features of the wind direction sensor of the wind turbine generator; carrying out dimensionality reduction processing on the fault signal data set according to the fault features to obtain a fault signal feature set, carrying out training calculation on the fault signal feature set, generating a wind turbine deviation fault classifier, collecting to-be-identified signal data of a wind direction sensor of a wind turbine generator in real time, carrying out feature extraction on the to-be-identified signal data, and carrying out similarity calculation to obtain a wind turbine deviation fault classifier; according to the calculation result, the fault class of the to-be-identified signal data is judged, signal fault identification of the wind direction sensor of the wind turbine generator is completed, the situation that the faulted wind direction sensor cannot be found due to long-time fault operation can be avoided, power generation loss is reduced, and the service life of a fan is prolonged.

The application discloses a fault distance measurement method and system for an electrified railway AT power supply mode, relates to the technical field of fault distance measurement, determines whether load current is contained in fault current according to impedance angle, and calculates fault current without containing load current; that is, the mixed load current is removed in the fault current calculation process, so that the accuracy of the fault current is ensured; the fault type is judged based on the self-coupling variable absorption current direction characteristics, so that the fault type judgment error caused when the fault occurs at the end section of the traction network is avoided, the fault type identification accuracy is greatly improved, and the fault distance measurement precision is improved.

The application discloses a vehicle fault processing method, a battery cooperative controller and a vehicle. The vehicle fault processing method is applied to the battery cooperative controller which is connected with a high-voltage battery and a low-voltage battery. The vehicle fault processing method comprises the following steps: obtaining fault diagnosis data of a plurality of function management units in the battery cooperative controller, wherein the plurality of function management units comprise a low-voltage battery management unit, a high-voltage battery management unit, a voltage conversion unit and a charging communication unit; performing fault cooperative decision on the fault diagnosis data to obtain a global fault processing scheme; and controlling the plurality of function management units to perform corresponding fault processing operations according to the global fault processing scheme. The application realizes fault information sharing and cooperative processing across subsystems, can avoid problems such as fault island and decision conflict, and improves the consistency and real-time performance of fault response.

The invention discloses a motor anomaly detection early warning method based on big data, and relates to the technical field of motor detection, multi-index historical data of a target motor is obtained, indexes comprise a preceding index and a lagging index, and the occurrence time of each index anomaly value is recorded; the method comprises the following steps: segmenting historical data, dividing data intervals according to fault events, and calculating a time difference between a preceding index anomaly and a lagging index anomaly in the same interval to form a time delay sample set; and a time delay probability distribution model is constructed based on the sample set, and normal time delay ranges corresponding to different index combinations are determined. Through the real-time monitoring and abnormity determination module, fault expansion can be avoided, motor operation safety and reliability can be improved, and loss caused by faults can be reduced.

This application provides a method, device, apparatus, and storage medium for selecting computing power nodes. The method includes: acquiring multiple undetermined service requests received through the same entry computing power routing node; and determining, based on whether the senders of the multiple undetermined service requests are the same user, selecting target computing power nodes that meet the requirements of each undetermined service request according to a first rule or a second rule. This application addresses specific application scenarios by prioritizing the processing of multiple service requests from the same user using the same or similar computing power nodes, thereby achieving parallel data forwarding, reusing transmission resources, and improving resource utilization. Furthermore, by using different computing power nodes belonging to different computing power routing nodes to process service requests of the same type from multiple users as much as possible, it avoids service paralysis across the entire region due to faults, thus accurately and specifically selecting the optimal computing power node for multiple concurrent computing power services in specific application scenarios.

The utility model relates to IGBT module technical field, specifically, it is the fault detection alarm circuit of IGBT module, including IGBT module, detection module, detection chip and alarm module, and detection module includes voltage acquisition unit, current acquisition unit and temperature acquisition unit, voltage acquisition unit is used for detecting the collector voltage value of IGBT module, and current acquisition unit is used for detecting the on current value of IGBT module, and temperature acquisition unit is used for detecting the working temperature of IGBT module, in the utility model, the collector voltage value, on current value and working temperature of IGBT module can be detected in real time, realize the comprehensive monitoring of module working condition, compared with the detection mode of only monitoring single parameter, can more timely, accurately discover the abnormal situation of module, provides the basis for taking measures in advance to avoid the expansion of fault.

This application discloses a server management system, method, electronic device, and storage medium, relating to the field of server management technology. The system includes: transmitting weights and server hardware information to a management information generation module; generating server management information based on the weights and server hardware information; generating hardware control information based on the server management information and adjusting the server hardware using the hardware control information; and a network control module, further used to generate alarm information based on the server management information and hardware control information. This system can solve the problems of difficulty in identifying hardware faults caused by complex factors and the inability to adjust server hardware in a timely manner for hardware faults. By introducing a dedicated neural network to create the management information generation module, the system enhances the BMC (Browser Control Center) function, enabling the identification of subtle fault characteristics and avoiding missed fault reports; it eliminates the need for manual analysis of data or faults, improving the efficiency of fault handling and saving manpower.

The invention belongs to the field of mechano-electronics and industrial automation control, and particularly relates to an industrial-grade electromagnetic boosting arm device with a fault self-diagnosis and passive safety mode, which comprises a loading seat integrated with a circuit board. The device comprises an electromagnetic driving execution module, a multi-mode sensing acquisition module, a self-adaptive signal conditioning module, a real-time fault diagnosis module, a passive safety decision module and a dynamic trajectory planning module. Through the dynamic filtering and phase locking technology of the adaptive signal conditioning module, the interference of the noise of the power switch on the signal of the rotary transformer is effectively suppressed, and the accuracy of fault diagnosis and the positioning precision of the device are remarkably improved. A multi-dimensional parallel diagnosis mechanism of the real-time fault diagnosis module can identify potential faults of a motor, a transmission chain and a sensor in an early stage, and device performance deterioration caused by fault accumulation is avoided.

This invention provides an intelligent CNC hydraulic system and control method, including a sensing and monitoring unit comprising a multi-source heterogeneous sensor network deployed at key nodes throughout the system. The invention is rationally designed, using a multi-source heterogeneous sensor network deployed throughout the system to simultaneously collect multi-dimensional operating parameters such as pressure, flow rate, temperature, and vibration. Edge computing is used to complete data preprocessing and fault-sensitive feature extraction. Relying on an SVM-LSTM dual-model fusion fault intelligent diagnosis module and integrating a fault tree FTA analysis submodule, it achieves accurate classification of fault types, rapid location of fault points, and root cause tracing. It also provides early warning of early system faults, significantly improving fault diagnosis accuracy compared to traditional threshold alarm methods. Furthermore, it can identify fault types that traditional methods cannot detect, such as directional valve sticking, predicting fault development trends in advance and effectively preventing equipment damage caused by fault escalation.

The invention provides a retrieval optimization strategy and device based on a large model knowledge base and a storage medium, and belongs to the technical field of retrieval based on a large model. Constructing a system layered architecture; the method comprises the following steps of: integrating RagFlow into a Dify workflow by utilizing a Dify plug-in system and a user-defined tool; through collaborative construction of Dify and RAGFlow, creation, connection and recall testing of a knowledge base are realized; creating a workflow in Dify, and selecting an application type, a function block and a tool component; implementing an innovative RAG strategy, including dynamic knowledge graph construction, adaptive weight fusion, dynamic partitioning strategy, multi-mode reflection verification, incremental knowledge distillation and generative adversarial network optimization; an architecture design principle is followed, and modular splitting, RESTful API interaction, fault avoidance and data verification are adopted; according to the method, large model illusion is reduced, the fault handling efficiency is improved, and rapid access to a new service scene is supported.

The application provides a chip fault control method, a display driving circuit, a display panel and a medium, which are applied to the display driving circuit, the display driving circuit further comprises a plurality of other chips connected with a timing control chip, and the control method comprises the following steps: the timing control chip sends a fault detection signal to the plurality of other chips every interval of a preset frame number; if the fault detection pin level of at least one chip in the plurality of other chips is a preset level, the plurality of other chips are controlled to stop working. Since the timing control chip and each other chip are in real-time interaction through the fault detection signal and the fault recognition signal, the faulty chip can be located immediately. After the faulty chip is located, the timing control chip controls the plurality of other chips to stop working, so that the faulty chip, the other chips and peripheral devices can be prevented from being burned out, the detection efficiency of the faulty chip is improved, the repair rate of the driving board is improved, and the production cost of the driving board is reduced.

The invention discloses a method, a device and equipment for monitoring a self-triggering instruction fault of an aircraft side lever. The method comprises the following steps: acquiring original flight data of a to-be-monitored aircraft at a preset acquisition frequency; identifying a self-triggering flight control instruction of a side rod of the to-be-monitored aircraft according to the original flight data; monitoring and counting appearance characteristics of the self-triggering flight control instruction; and analyzing appearance characteristics of the self-triggering flight control instruction to obtain a self-triggering instruction fault state of the side rod. According to the technical scheme, when the fault phenomenon that the actual position of the flight control surface is inconsistent with the position corresponding to the flight control instruction occurs, the fault range can be accurately limited to the aircraft side lever, the fault state of the aircraft side lever self-triggering instruction can be monitored in advance, the fault state can be predicted in time, and the service life of the aircraft side lever can be prolonged. And the occurrence of warning or unsafe phenomena caused by fault deterioration is avoided.

Embodiments of the present invention provide a shielding method and device for an error-correcting code (ECC) fault of a random access memory (RAM), comprising: detecting an RAM, and recording an ECC fault address that can be skipped; converting the ECC fault address into a readable / writable ECC fault address; on the basis of entry information and readable / writable ECC fault address of the RAM, calculating an entry where the readable / writable ECC fault address is present; on the basis of the entry where the readable / writable ECC fault address is present, calculating an index position of the readable / writable ECC fault address; if the readable / writable ECC fault address is in a preset entry, determining the readable / writable ECC fault address as a target ECC fault address; and shielding an index position of the target ECC fault address. The present invention solves the problems that additional resource overhead is required for ECC fault repair and repeated generation of ECC faults cannot be avoided.

The invention relates to the technical field of electromechanical operation and maintenance, in particular to an online operation and maintenance method and system for electromechanical equipment, and the method comprises the following steps: S1, deploying a plurality of sensors on the electromechanical equipment, and collecting the operation data of the equipment in real time; s2, transmitting the data to a cloud server, and performing deep analysis by using a data processing algorithm to identify any abnormal or fault signs; s3, detecting small changes in the electromechanical equipment based on vibration analysis and sound spectrum analysis, and predicting potential faults and maintenance requirements of the equipment; and S4, based on the results of S2 and S3, automatically generating and adjusting a maintenance plan, including arrangement of required tools, accessories and maintenance operations, and starting an automatic or semi-automatic repair process, including remote instruction control or automatically executed maintenance operations. According to the comprehensive analysis method, the accuracy and timeliness of fault prediction and diagnosis are greatly improved, the accurate diagnosis enables a maintenance team to quickly respond, fault deterioration is avoided, and therefore the downtime and the maintenance cost are reduced.

The invention provides a beacon reader fault detection and processing method, and the method comprises the steps: defining the longest running distance parameter of a train detected by a beacon, the data of a local VOBC speed sensor, the cooperative work of double redundant VOBC systems, the position of a train located by an opposite-end VOBC and the data of a local-end VOBC speed sensor, the fault of the beacon reader is detected in real time in the operation process without depending on additional detection equipment in a specific track area, and the defect that the fault cannot be monitored in real time in the prior art is overcome. A calculation method without a positioning beacon detection window is introduced, and an ATS alarm manual confirmation mechanism is combined, so that the accuracy of fault judgment is enhanced, and fault misjudgment is avoided. The implementation of the method does not need any hardware transformation, only ATS and VOBC software upgrading is needed, and the method can be implemented on the basis of an original system at low cost.

The invention relates to a DDPF fault detection method, device and equipment and a storage medium in the technical field of exhaust treatment, and the fault detection method comprises the steps: when a preset monitoring release condition is satisfied, starting timing, and obtaining a flow resistance value sequence and an upstream and downstream temperature value time sequence of a DDPF, so as to obtain upstream and downstream peak temperatures and respective corresponding time; the method comprises the following steps: calculating a peak temperature deviation, peak temperature delay time and a flow resistance average value, comparing the peak temperature deviation, the peak temperature delay time and the flow resistance average value with respective preset values so as to determine that the DDDPF is removed or not removed, and when the DDDPF is not removed, calculating HC conversion efficiency and a DDDPF downstream peak temperature, and respectively comparing the HC conversion efficiency threshold value and the target temperature so as to determine that the DDDPF is removed or not removed. And thus, DDDPF aging or cheating can be determined. According to the DDPF fault detection method provided by the invention, the fault of the DDPF can be accurately detected, the deviation of the fault detection of the DDPF is effectively avoided, and the possibility of false alarm of the fault of the DDPF is reduced.

The invention discloses a full-automatic vacuum negative-pressure self-suction device, and belongs to the technical field of water suction pumps, the full-automatic vacuum negative-pressure self-suction device comprises a vacuum pump body, the water inlet end of the vacuum pump body is provided with a first pressure sensor used for detecting the water inlet pressure, and the water outlet end of the vacuum pump body is provided with a second pressure sensor used for detecting the water outlet pressure; a controller is installed on the outer side face of the vacuum pump body and is configured to execute the following functions of an acquisition module used for acquiring pressure intensity signals of the water inlet end and the water outlet end and conducting noise suppression and stability treatment so as to generate a stable water inlet pressure intensity value and a stable water outlet pressure intensity value, and the acquisition module is used for acquiring the pressure intensity signals of the water inlet end and the water outlet end; calculating a real-time pressure difference, a pressure difference change trend and a flow related parameter, and further constructing a feature vector; and the diagnosis module is used for carrying out fault identification according to the feature vector. Early discovery and early judgment of faults can be achieved, serious loss caused by fault expansion is effectively avoided, and the stability and reliability of device operation are improved.

The invention relates to the technical field of power electronics, and discloses a BUCK switching power supply fault diagnosis system and method based on intelligent monitoring, and the system comprises a BUCK switching power supply main circuit, an MCU control unit, an input voltage detection circuit, a switching tube temperature detection circuit, an output current detection circuit, an output voltage detection circuit, and a switching tube state detection circuit. The method comprises the following steps: detecting input voltage, temperature, output current and output voltage signals; differentiating the driving signal, and generating a switching tube fault diagnosis signal by the comparator; setting an input voltage threshold value, a temperature threshold value, an output current threshold value and an output voltage threshold value; judging whether the signal exceeds a threshold value or not; and in case of abnormality, protection is triggered, and faults are identified and reported to the upper computer for display. Through a fault diagnosis algorithm of the MCU control unit, a protection mechanism is triggered according to a comparison result of a detection signal and a threshold range, so that fault diffusion is avoided, and the safety of a power supply and a downstream circuit connected with the power supply is ensured.

The invention relates to the technical field of paper cup processing equipment, in particular to a paper cup machine with a fault prediction function and a using method thereof.The paper cup machine comprises a rack, a storage rack is arranged at one end of the rack, and a dynamic monitoring mechanism is arranged at the position, close to the storage rack, of the upper end of the rack; the dynamic monitoring mechanism comprises a dustproof top cover fixed at the upper end of the rack, a fixed seat is arranged at the lower end of the dustproof top cover, a fixed clamping plate is arranged on one side of the fixed seat, a fixed slot is formed in the inner side of the fixed clamping plate, and a plurality of mounting arms are inserted into the fixed slot. Data can be collected in real time in the production process, an abnormal state can be found in advance, an operator can be prompted to process in time, fault expansion is avoided, waste products are reduced, meanwhile, equipment failure shutdown is avoided, the production efficiency is improved, and the production loss is reduced.

The application discloses a communication power supply control system and method based on 5G communication, and relates to the technical field of power supply control.The technical problems of insufficient energy efficiency optimization precision and missing primary early warning risk identification are solved.The application realizes load grading identification, adopts a differentiated voltage regulation strategy, improves the comprehensive energy efficiency of the system, establishes a four-level abnormality grading standard, uses a differentiated strategy, improves the self-healing rate of general abnormalities, shortens the response time of serious / urgent abnormalities, reduces the equipment failure rate, avoids fault escalation and safety accidents, performs three-dimensional analysis on time trends, parameter changes and associated abnormalities on slight abnormalities through a comprehensive processing analysis module, combines weight assignment and comprehensive score quantification risk levels, identifies potential fault trends in advance, changes the operation and maintenance mode from post-repair to pre-prevention, and reduces unplanned downtime.

The invention discloses a vehicle controller upgrading optimization method and system, a vehicle and equipment. The upgrading optimization method for the vehicle controller comprises the following steps: after an upgrading request of a target controller is received, controlling a vehicle to enter a diagnosis upgrading state; receiving a function addressing instruction sent by the TBOX or the local diagnostic instrument, and determining a first domain controller according to the function addressing instruction; in the upgrading process, the central domain controller is forbidden to send a communication control service, and diagnosis fault recording functions of the first domain controller and a subordinate controller of the first domain controller are closed; and judging whether the upgrading process affects the function execution of the target controller or not, and if yes, forbidding the second domain controller to carry out diagnosis fault recording on the function. By adopting the method and the device, in the upgrading process, the fault recording diagnosis function of the controllers in the same region is closed, and the functions of the controllers in other regions are allowed to work normally when the functions of the controllers work abnormally, so that fault misinformation can be avoided, meanwhile, function interruption is prevented, and the system efficiency is improved.

The application discloses a data access isolation method and system in a bare core running environment, wherein each module is compiled into an independent ELF file, a management program allocates a unique ID, a special memory area and a shared memory area for each module, and access permission is configured through an MMU to realize address space isolation between modules; periodic scheduling and cross-module calling are completed through TLB switching; when a module abnormally accesses beyond the range, the operation is blocked by the MMU hardware and an exception is triggered, the management program isolates the fault module, stops task scheduling and intercepts invalid calling to avoid fault diffusion. The application can realize safe isolation and normal interaction of multiple modules in a bare core environment, and improve system stability and reliability.

The invention discloses a fault monitoring method and system for a separate injection water distributor, electronic equipment and a storage medium, and relates to the technical field of oil field automation control. The method comprises the following steps: comprehensively monitoring multi-dimensional data such as pressure inside and outside an oil pipe, liquid flow and the like, and combining data threshold comparison and dynamic trend analysis to comprehensively evaluate the running state of the water distributor, and effectively judging whether a dropping-fishing core is stuck or not by utilizing a wireless communication state between a wireless positioning short section and an external pressure short section; the abnormal initial judgment result is subjected to matching and binary coding by means of a preset fault logic model, and fault information is uploaded to a ground system in a pressure-flow wave form through wave code signal conversion, so that the reliability and the operation and maintenance efficiency of a separate injection process are improved, various faults can be recognized in time, injection stop of a water injection well caused by fault expansion is avoided, and the injection efficiency is improved. The number of times of non-planned well repair operation is greatly reduced, the maintenance cost is reduced, and key technical support is provided for intelligent and fine management of the separated layer water injection process.

The invention provides an optimization method and system for reducing a fault recovery voltage step, and the method comprises the steps: building a low-frequency side voltage through control when a low-frequency side fault of a new energy low-frequency transmission system is finished; selecting a to-be-adjusted control parameter from a voltage frequency control parameter range based on the established low-frequency side voltage; determining a parameter adjustment time period based on the voltage step condition of the low-frequency side fault recovery stage; and adjusting a proportional integral coefficient in the control parameters in a parameter adjustment period by using a control parameter adjustment strategy to realize optimization of reducing a fault recovery voltage step. The control parameters are optimally designed, so that the overvoltage in the voltage recovery stage after the fault is ended can be reduced, the system safety is improved, and the secondary fault risk caused by the overvoltage in the system recovery stage after the fault is ended can be avoided.