D-S evidence theory-based high-voltage circuit breaker mechanical fault diagnosis method

A high-voltage circuit breaker and evidence theory technology, which is applied in the field of high-voltage circuit breaker mechanical fault diagnosis based on D-S evidence theory, can solve the problem of low accuracy and achieve the effect of improving the diagnosis speed, convergence speed and accuracy

Pending Publication Date: 2019-08-13
YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
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Problems solved by technology

[0004] This application provides a high-voltage circuit breaker mechanical fault diagnosis method based on D-S evidence

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  • D-S evidence theory-based high-voltage circuit breaker mechanical fault diagnosis method
  • D-S evidence theory-based high-voltage circuit breaker mechanical fault diagnosis method
  • D-S evidence theory-based high-voltage circuit breaker mechanical fault diagnosis method

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[0076] In order to enable those skilled in the art to better understand the technical solutions in this application, the following will clearly and completely describe the technical solutions in the embodiments of this application with reference to the drawings in the embodiments of this application. Obviously, the described The embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative work should fall within the protection scope of this application.

[0077] The sound and vibration signals of high-voltage circuit breakers are non-stationary and non-deterministic signals, which can reflect the complex mechanical action process of the circuit breaker. There are various drawbacks in single-signal fault diagnosis. The multi-signal fusion technology using D-S evidence theory solves these drawbacks to a certain ex...

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Abstract

The invention discloses a D-S evidence theory-based high-voltage circuit breaker mechanical fault diagnosis method.. The method comprises the steps of establishing a self-adaptive neural fuzzy inference system model; acquiring a sound signal and a vibration signal of the high-voltage circuit breaker; extracting characteristic quantities of the sound signal and the vibration signal; performing classification preprocessing on the characteristic quantity through the adaptive neural fuzzy inference system model to obtain a basic probability distribution function; enabling a D-S evidence theory modified by high conflict evidence to fuse a basic probability distribution function to obtain a mechanical fault diagnosis result.. According to the diagnosis method provided by the invention, the soundand the vibration signal are combined. The D-S evidence theory is used for information fusion to comprehensively diagnose the mechanical failure of the high-voltage circuit breaker, which improves the reliability and accuracy of the state assessment.

Description

Technical field [0001] This application relates to the technical field of high-voltage circuit breaker mechanical fault diagnosis, and in particular to a high-voltage circuit breaker mechanical fault diagnosis method based on D-S evidence theory. Background technique [0002] Due to the rapid development of industrial automation, automated production lines have put forward higher requirements for power supply reliability and power quality. High-voltage circuit breakers are one of the most important equipment in the entire power system, and their stable operation is a necessary condition for improving power supply reliability and power quality. Among the various faults of high-voltage circuit breakers, the main factor that affects the reliability of the mechanical failures accounts for 70% to 80% of the total failures. Therefore, it is necessary to conduct online monitoring of the mechanical characteristics of the high-voltage circuit breakers. [0003] The current monitoring of th...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06N3/043G06F2218/08G06F2218/12G06F18/214
Inventor 彭晶谭向宇樊诗诗韩璐瑶闫静耿英三王科马仪邓云坤李昊陈宇民
Owner YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
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