Circuit breaker breaking-closing control loop fault diagnosis method

Abstract

The invention discloses a circuit breaker breaking-closing control loop fault diagnosis method. The method comprises steps as follows: 1) a sample database for storing actual fault waveforms is established, and fault types are numbered; 2) a characteristic value of a current signal of a breaking-closing coil is acquired under the fault-free condition; 3) a to-be-measured breaking-closing current signal is acquired and filtered; 4) the breaking-closing starting moment and the breaking-closing ending moment of the to-be-measured current signal are acquired, and part of data are randomly deleted or copied, so that the intercepted data length is equal to the length of sample data; 5) the characteristic value and the number of extreme values of the processed to-be-measured current signal are acquired; 6) whether the number of the extreme values is larger than 3 is judged, and whether a jam fault happens is determined; 7) the distance between the characteristic value of the to-be-measured signal and the characteristic value of a normal signal is compared, and whether the signal is a normal signal is determined; 8) the to-be-measured signal is compared with data in the actual fault sample database, and the fault type is determined by comparing the distance of the waveform of the to-be-measured signal and the waveform of the actual fault sample database. By means of the circuit breaker breaking-closing control loop fault diagnosis method, calculation is simple and convenient, and the reliability is high.

Description

technical field [0001] The invention relates to the field of circuit breaker monitoring, in particular to a circuit breaker opening and closing control circuit fault diagnosis method based on the identification of opening and closing coil current waveforms. Background technique [0002] As the link between power generation and electricity consumption, the circuit breaker's reliable operation is of great significance to ensure the safety of the power grid, so it is of great significance to monitor the state of the circuit breaker. Statistics on the consequences of high-voltage circuit breaker failures show that each circuit breaker accident causes an average power loss of millions of kilowatt-hours. As the power system develops towards high-voltage, large-capacity, and long-distance power transmission, this figure will increase Big. [0003] Since the 1990s, foreign electrical equipment condition monitoring and fault diagnosis real-time monitoring systems have achieved pract...

AI Technical Summary

Problems solved by technology

Diagnosis techniques mainly include fuzzy technique and neural network technique. However, the study found that fuzzy technique requires experts to set parameter values, which have a great influence on the diagnosis results. However, when neural network technique is applied to fault diagnosis, if the symptom set is large, it may make the Diagnosis enters an endless loop

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