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Discriminant approach to the GIS mechanical fault diagnosis based on the K-L divergence of vibration signals

机译:基于振动信号K-L散度的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电站内气体绝缘开关设备(GIS)的主要故障类型。因此,在线监测GIS的机械特性对于实现电力系统的安全,稳定和可靠的运行至关重要。在实验室中构建了一个模拟GIS,并在其上构建了两个常见的GIS故障,例如螺丝松动和自由粒子振动。通过分别评估正常振动信号与螺钉松动信号,自由粒子信号之间的KL散度值,得出的结论是,与没有故障条件的两个正常振动信号之间的KL散度相比,当GIS在螺钉松动时KL散度明显降低故障情况;当GIS处于自由粒子断层状态时,它会显着增加。因此,K-L散度可以作为区分自由粒子断层和螺钉松动断层的指标。该方法对早期发现GIS的潜在故障和故障定位具有重要意义。

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