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Discriminant Approach to the GIS Mechanical Fault Diagnosis Based on the K-L Divergence of Vibration Signals

机译:基于K-L振动信号的k-l偏差的GIS机械故障诊断判别方法

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Mechanical malfunction or failure is the principal failure type of gas insulated switchgear (GIS) within transformer substations. Therefore, on-line monitoring of the mechanical characteristics of GIS is of utmost significance to achieve safe, stable and reliable operation of power systems. a simulated GIS is constructed in laboratory and two common GIS faults like screws loosening and free particle vibration are built on it. Through evaluating the values of K-L divergence between normal vibration signal and screws loosening signal, free particle signal respectively, it is concluded that contrasted to the K-L divergence between two normal vibration signals without fault condition, the K-L divergence decreases significantly when GIS is in screws loosening fault condition; while it increases significantly when GIS is in free particle fault condition. Therefore, the K-L divergence could be an index to distinguish between free particle fault and screws loosening fault. This method would be of significance to find out potential faults and fault positioning of GIS in early stage.
机译:机械故障或故障是变压器变电站内的气体绝缘开关设备(GIS)的主要故障类型。因此,在线监测GIS的机械特性是最重要的,以实现电力系统的安全,稳定可靠的操作。模拟的GIS在实验室中构建,并在其上建立了两个普通的GIS故障,如螺丝松动和自由颗粒振动。通过评估正常振动信号和螺钉松开信号之间的KL发散的值,分别的自由粒子信号,结论是与两个正常振动信号之间的KL发散对比没有故障条件的kL发散,当GIS在螺钉松开时,KL发散显着降低故障状况;当GIS处于自由粒子故障状态时,它会显着增加。因此,K-L发散可能是区分自由粒子故障和螺杆松动故障的指数。该方法具有重要性,以便在早期发现GIS的潜在故障和故障定位。

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