High-voltage circuit breaker mechanical fault intelligent diagnosis method

Abstract

The invention discloses a high-voltage circuit breaker mechanical fault intelligent diagnosis method, and the method comprises the steps of: firstly collecting data which can reflect the operation state of a circuit breaker in an operation process through employing a high-voltage switch tester in cooperation with an acceleration sensor and the like; secondly, preprocessing the collected circuit breaker operation state data, removing invalid redundant data, and extracting effective opening and closing coil current waveforms and breaker travel curve intervals from the collected data; then acquiring characteristic parameters capable of reflecting the running state of the circuit breaker coil current waveform in the effective interval by adopting a method of searching wave crests and wave troughs, and calculating characteristic parameters in a circuit breaker contact travel curve; and finally, diagnosing the operating state of the circuit breaker based on the relevant operating characteristic parameters of the circuit breaker and a fault judgment criterion. According to the invention, rule-based fault identification is carried out by using the opening and closing coil current and a contact travel signal, so that the diagnosis accuracy can be effectively improved and a large amount of high-complexity calculation can be avoided.

Description

technical field [0001] The invention relates to a method for diagnosing a mechanical failure of a high-voltage circuit breaker, in particular to an intelligent diagnosis method for a mechanical failure of a high-voltage circuit breaker. Background technique [0002] With the rapid development of the national economy and the rapid increase of grid capacity, the power system has higher and higher requirements for its operational reliability. As the most important high-voltage switchgear in the power system, the high-voltage circuit breaker's operating status will directly affect the safe and stable operation of the power system. This requires that no matter what state the power line is in, when the circuit breaker needs to act, it should be able to reliably close or break the circuit. If the circuit breaker fails to close or break normally due to a fault, it will seriously affect the safe and stable operation of the power system and cause heavy losses. The results of three w...

AI Technical Summary

Problems solved by technology

Due to the complexity of the circuit breaker system and the dispersion of collected signals, the above-mentioned first diagnosis method usually only uses a single detection signal as the basis for diagnosis. In some cases, it is difficult to accurately identify the mechanical failure of the circuit breaker. Because the two methods rely on the knowledge base containing fault information, when a new fault mode or fault information of a new device appears, it is difficult for the original diagnosis model to achieve accurate identification, and updating the knowledge base information will greatly increase the computational complexity, which also affects diagnostic accuracy

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