High-voltage circuit breaker operating characteristic analysis method based on grid multi-density clustering

Abstract

A high-voltage circuit breaker operating characteristic analysis method based on grid multi-density clustering is characterized in that characteristic index extracting is conducted on an electrical signal, a video signal, a vibration signal and an acoustic signal which are acquired in the process of circuit breaker movement; the principal component analysis is adopted to conduct reducing-dimension processing on an original characteristic space; a grid multi-density clustering algorithm is utilized to conduct clustering analysis on a new characteristic vector, and the health condition of a circuit breaker is evaluated; the weight is redetermined on the characteristic vector according to the close relationship between the circuit breaker state and the characteristic vector, and a fault diagnose method with feedback capability is established. The high-voltage circuit breaker operating characteristic analysis method based on the grid multi-density clustering has the advantages that the problem that different circuit breakers have different fixtures for installing sensors on site is solved, and the innovation to a circuit breaker characteristic detecting method is achieved. The state is diagnosed through the operating mechanism motion characteristic of the circuit breaker, the reliability of circuit breaker operation is improved, and the foundation is laid for the state maintenance.

Description

technical field [0001] The invention belongs to the technical field of electric power testing, in particular to a method for testing the mechanical characteristics of a circuit breaker. Background technique [0002] As one of the important primary equipment in the power system, once the high-voltage circuit breaker fails, it will endanger the safety of the entire power network and inevitably cause huge economic losses. Therefore, the health status of high-voltage circuit breakers has become the focus of attention in the industry. It is of great significance to diagnose circuit breaker faults in a timely and accurate manner, quickly find out the cause of the fault, and then carry out maintenance based on evidence. According to statistics, mechanical failures such as circuit breaker refusal to operate, misoperation, slow separation and three-phase out-of-phase caused more than 80% of the total accidents, and the main failure of the circuit breaker is the failure of the operati...

AI Technical Summary

Problems solved by technology

However, the acquisition of the motion state of the operating mechanism of the high-voltage circuit breaker is very complicated. When a certain fault occurs, there may be many state characteristics of the mechanism. At the same time, when a certain state characteristic of the mechanism changes, the cause of the fault may also be not unique

Usually only rely on the experience of the maintenance personnel, and often use the signal comparison method, there are many difficulties in accurately judging the fault and its type, which is far from meeting the on-site needs of Optimized Condition Based Maintenance (OCBM)

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