由于电力设备工作环境复杂，局部放电信号的检测一直是局部放电研究重要组成部分，影响着进一步的故障诊断。
Because power equipment work in a complex environment, detecting partial discharge signal has been the important part of partial discharge study. Then it affects fault diagnosis of power equipment.
电力设备的故障诊断可以看成一个模式分类问题，每一个电力设备故障对应一组特征集。
The fault diagnosis of power equipment can be looked as pattern classification problem. Each fault of power equipment is corresponding to a set of traits.
微小电阻智能测试研究属于电力设备状态监测及故障诊断技术研究领域。
Research on intelligent measurement of small electric resistance belong to the field of condition monitoring and fault diagnosis on electric power equipment.
局部放电在线检测可以及时反映电力设备绝缘老化情况，是状态监测和故障诊断的重要手段。
Partial discharge (PD) on-line detection can timely reflect the degradation degree of power apparatus, thus becoming a useful technique for condition monitoring and failure diagnosis.
局部放电在线检测可以及时反映电力设备绝缘老化情况，是状态监测和故障诊断的重要手段。
Partial discharge (PD) on-line detection can timely reflect the degradation degree of power apparatus, thus becoming a useful technique for condition monitoring and failure diagnosis.
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