Fault Diagnosis Method and Device of Impulse Neural Membrane System Based on Triangular Fuzzy Numbers
A triangular fuzzy and spiking neural technology, applied in fault location, neural architecture, biological neural network model, etc., can solve problems such as difficulty of faulty components, repeated information, errors, etc., to achieve high diagnostic accuracy, accurate diagnostic results, and good fault tolerance. Effect
Inactive Publication Date: 2019-09-03
XIHUA UNIV
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However, in actual situations, the information collected from the SCADA system contains incomplete information, wrong information, repeated information, etc. In this case, it is becoming more and more difficult to accurately detect faulty components
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[0054] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0055] The core of the present invention is to provide a fault diagnosis method and device for a pulse neural membrane system based on triangular fuzzy numbers.
[0056] In order to enable those skilled in the art to better understand the solution of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0057] figure 1 It is a flow chart ...
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The invention discloses a fault diagnosis method and device for a pulse neural membrane system based on triangular fuzzy numbers, including: deducing suspicious fault elements in a power outage area according to relay action information obtained from a SCADA system and circuit breaker trip information; Establish a fault diagnosis model of the pulse neuromembrane system based on triangular fuzzy numbers for suspicious fault components; use fuzzy reasoning algorithm to perform reverse fuzzy reasoning on the fault diagnosis model, and calculate the fault confidence of each suspicious fault component; The target fault confidence level is screened out, and the suspicious fault component corresponding to the target fault confidence level is determined as the confirmed fault component. It can be seen that this method combines relay, circuit breaker switch information, fuzzy generation rule base, language value and related triangular fuzzy numbers to realize the diagnosis of suspicious faulty components, and the diagnosis is accurate.
Description
technical field [0001] The invention relates to the technical field of power grid dispatching and fault analysis, in particular to a fault diagnosis method and device for a pulse neural membrane system based on triangular fuzzy numbers. Background technique [0002] With the gradual development of the economy and society and the continuous improvement of voltage levels, users are increasingly dependent on electric energy. Therefore, it is becoming more and more important to improve the reliability of power supply and the quality of power supply. For the voltage level of 220kV and above, the traditional current protection is no longer applicable, and the longitudinal differential protection can quickly remove the high-voltage network fault, so it has been widely used. However, in actual implementation, when a fault occurs, in order to reduce the loss caused by the fault, it is necessary to quickly and accurately detect the faulty component and realize the isolation of the fau...
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IPC IPC(8): G01R31/08G06N3/04
CPCG01R31/088G06N3/043
Inventor 王军陶成玉孙章彭宏于文萍
Owner XIHUA UNIV