高压断路器操动机构非侵入式多信息检测及故障诊断研究OA北大核心CSTPCD

The operating mechanism of high voltage circuit breaker is the key part to ensure reliable operation of cir-cuit breaker,and accurate judgement of the operating mechanism status is of great importance.A non-intrusive multi-information detection method based on image,vibration and sound is proposed,the multiple correspondence analy-sis of the extracted image feature vectors(opening time,closed time,opening speed,closed speed,opening stroke,closed stroke),vibration feature vectors(feature time points,equal energy 5-subsection energy entropy),sound fea-ture vectors(feature time points,equal energy 5-subsection energy entropy)and status of the operating mechanism(normal,pedestal looseness,shaft jam,performance degradation of the buffer and insufficient lubrication of the le-ver)are analyzed,and the relationship between the state of the mechanism and the corresponding eigenvectors has been found.A hierarchical diagnosis strategy based on the relationship between the status of the mechanism and the corresponding eigenvectors is proposed.Throughout fault simulation and diagnosis of the experimental laboratory,the correct rate of the joint feature diagnosis of the fault of pedestal looseness,shaft jam and buffer performance deg-radation,compared to single signal diagnosis,is improved to 90%,80%and 90%respectively.The the accurate rate of the joint feature diagnosis of insufficient lubrication of lever,compared to the single signal diagnosis,is not im-proved obviously.The general effectiveness of the method is proved through the actual measurement at site and disas-sembly analysis of the equipment.