37results about How to "Improve fault location speed" patented technology

The embodiment of the invention provides a fault prediction method, device and equipment and a readable storage medium, and the method can comprise the steps: obtaining a service log; based on the content contained in the service log, determining feature information of the service log, wherein the feature information is used for representing features of the service log; obtaining fault feature information, wherein the fault feature information is obtained based on training of a plurality of historical service logs; and matching the feature information of the service log with the fault featureinformation, and performing fault prediction through a preset matching rule based on the matching degree of the feature information of the service log and the fault feature information. Through the fault prediction method, device and equipment and the readable storage medium provided by the embodiment of the invention, the fault positioning speed can be improved.

The invention discloses a power distribution grid fault positioning method with high precision and low cost. According to the fault positioning method, a small amount of traveling wave detection devices with GPS time comparison functions are mounted at two ends of different overhead lines and cable lines of a power distribution grid; when the power distribution grid has faults, the wave speeds of traveling wave line mode component and floor mold component in different lines are calculated by using detection devices of a non-fault line, subsequently the distance of a fault point to one detection device is calculated according to the time difference of the traveling wave line mode component and the floor mold component reaching the detection device, and finally the position of the fault point is confirmed according to the ranging result of a plurality of detection devices. The power distribution grid fault positioning method can achieve accurate fault positioning, shortens the time for troubleshooting, improves the power supply reliability, is small in mounting equipment quantity and good in economy, and has very good practicability.

Core of the method is as following: first, network node of system sends detection message to other associated network nodes; then, monitoring response messages from the said associated network nodes; if verifying that response message from an associated network node is not received then the method determines the associated network node is a fault network node. Without need of preparing additional special network detection device, and without need of debugging fault nodes through manual work by technicians, the invention can position network fault accurately, and quicken speed for positioning fault. Advantages are: increasing efficiency of recognizing fault point of network, reducing maintenance cost of system, raising degree of satisfaction of users, and not influence on safety of network.

A device of debugging auxiliary interface on radio base station consists of transmission interface unit coupled on baseband processing unit or radio frequency unit coupled of radio base station for receiving interface data of baseband processing unit or radio frequency unit, data processing unit coupled with transmission interface unit for processing interface data received by transmission interface unit, computer interface unit coupled with data processing unit for receiving the debugging command of user. The test system applying said device can debug base station system with different interface standard and different network integration conveniently and simply.

The invention discloses a method for accelerating power distribution network fault tolerance location. An artificial intelligence algorithm is an algorithm with higher fault tolerance in power distribution network fault section localization technologies, but the algorithm is low in fault locating speed, and difficult to meet a requirement for online real time. The method for accelerating the power distribution network fault tolerance location classifies faults according to a fault location result of a matrix algorithm, improves an initial solution of a particle swarm algorithm under multiple faults, accelerates iterative optimization, corrects error location of the matrix algorithm, and achieves fast and accurate location of power distribution network faults. The method for accelerating the power distribution network fault tolerance location uses a fault section localization result of the matrix algorithm fully, reasonably combines the matrix algorithm with the particle swarm algorithm, inherits advantages of being high in locating speed of the matrix algorithm and being good in fault tolerance of the particle swarm algorithm, achieves the fast and accurate location of faults, solves the problems that the matrix algorithm is poor in fault tolerance and the artificial intelligence algorithm is low in fault location speed in power distribution network fault localization methods.

The invention discloses a method and device for fault detection and positioning of a modular multi-level converter sub-module, comprising: constructing a mathematical model of the modular multi-level converter, analyzing the normal operation and switching faults of the modular multi-level converter sub-module According to the established mathematical model, the output current and circulating current are predicted; according to the predicted output current and actual value error, the predicted circulating current and actual value error, the sub-module The fault is detected, and the bridge arm where the fault is located is located at the same time; for the located bridge arm, the sub-module with the highest capacitance voltage value in the bridge arm is extracted, and the abnormal value of the bridge arm is judged by the improved Laida criterion technology, so as to locate the fault. submodule. The detection and positioning method and device disclosed in the present invention can quickly locate module faults at different positions, and is not affected by the power reference step. It reduces the computational burden and improves the fault location speed.

The invention relates to a fault location method of a distributed generation including power distribution network of a synaptic plasticity based SNP system. The fault location method comprises the following steps of (1), selecting a power cut interval; (2), establishing a fault location model of the distributed generation including power distribution network of the synaptic plasticity based SNP system; (3), determining a fault section; according to fault information and a forward synaptic matrix which are read by the system, carrying out operation on the established fault location model; (4),verifying fault location accuracy; according to a fault location result obtained by a reasoning algorithm and the value of a sequential pulse train in a bidirectional functional neuron O, verifying the accuracy of the fault location result by combining an actual current matrix C and the reasoning algorithm; and (5), completing the fault location and the verification of the fault location accuracythrough a fault judgment standard and a fault current information verification standard. The fault location method of the distributed generation including power distribution network of the synaptic plasticity based SNP system, which is provided by the invention, has high accuracy and high reliability, and can be widely applied to the fault location of the distributed generation including power distribution network.

This invention discloses a method of tracing the switch-in process of user facility, which comprises the following steps: a) distributing the communication context identification according to the identity mark of users; b) the base station will trace single user according to the communication context identification, including setting the user trace identification needs to be traced; c) the base station will operate the first logic controlling according to said user tracing identification; d) when receiving the requirement of building the wireless chain circuit from the user, the base station will operate the second logic controlling according the user trace identification; e) the base station will report the trace information. The invention can get the integral data of the user facility without affecting other user facility.

The invention provides a power distribution network single-phase grounding fault section positioning method based on a generalized group knapsack. Traditional fault positioning algorithms based on a power system transient signal all adopt a fixed basis function to decompose the signal and have the problems of insufficient decomposition accuracy and redundant decomposition results. The invention proposes to use a sparse decomposition theory to extract an attenuation DC component in the power system transient signal, and an area where the single-phase grounding fault is located is judged according to the existence of the attenuation DC component. In order to overcome the problem of huge space-time complexity of a sparse decomposition theory classical MP algorithm, a generalized group knapsack model is constructed based on dynamic programming, and a linear combination of selected atoms approximates an original transient signal with O(VN) time complexity. According to the method, the basisfunction can be adaptively selected according to the characteristics of the transient signal to obtain a simplest form of signal decomposition, and a new idea is provided for the single-phase groundfault positioning method of the power distribution network.

The method includes steps: fault file management unit collects operating state data of each testing point in real time; when receiving request information from user end, based on the said operating state data to generate fault file, and send to user end; user end compares the said data to data in normal operation in order to determine fault position in base station, realize quick repair, and reduce maintenance cost of system. Based on information of testing points, the invention can locate fault in base station in circuit board level. The invention reduces amount of information in fault file and quickens speed for locating fault.

The invention discloses a software fault location method about removing the assumption of perfect understanding. The method saves the user's debugging information in a MYSQL database by realizing the Eclipse monitoring plug-in, and the information includes the user's debugging behavior information and program context information. Through the analysis of these information, it is found that there is a certain relevance to the debugging track of the same fault debugging personnel. The key information in the debugging is given by referring to the key category method, and the key information identification method based on the label is adopted as a general recommendation rule. The key information is used as the recommended content and directly fed back to the user's integrated development environment, thereby assisting the debugger to locate the fault.

The invention discloses an abnormality elimination management system and method based on the increment of abnormality information database. The system comprises: abnormality information processing state monitoring part; abnormality cause analysis part, which executes abnormality cause analysis process for abnormal records whose causes are not analyzed; The defect elimination processing execution unit performs anomaly elimination processing on the abnormal information whose unique abnormal cause is identified by the anomaly cause analysis unit. The combination improves the processing, analysis, processing efficiency and accuracy of abnormal information in substations, ensures integrated processing of abnormal information and closed-loop management and control of abnormal problems, and provides an effective substation equipment maintenance and accident prevention measures for the power sector.