基于数据融合的高压断路器故障诊断方法研究

基金项目:

常州市输配电及节电技术重点实验室开放课题(CS0904)

详细信息

Research of Fault Diagnosis Method for High-voltage Circuit Breaker Based on Data Fusio

1.
School of Computer and Information Engineering of Hohai University, Changzhou 213022, China. 2.School of Energy and Electrical Engineering of Hohai University, Nanjing 210098, China. 3.Changzhou Key

摘要: 为了提高高压断路器的故障诊断水平,对采用D-S证据理论将不同类型传感器获得的信息进行数据融合的方法进行了研究,并将其运用到高压断路器的故障诊断中。实例分析结果表明,D-S证据理论能够提高高压断路器故障诊断的进度、准确性和可靠性,并且融合的数据越多,故障诊断的可靠性越高。该方法具有普遍适用性。
- 高压断路器 /
- 故障诊断 /
- 多传感器 /
- 数据融合 /
- D-S证据理论
Abstract: In order to improve fault diagnosis level of high-voltage circuit breaker, the method of using D-S evidence theory to fuse data obtained by different types of sensors was researched and it was used in fault diagnosis for high-voltage circuit breaker. Analysis of an actual example showed that D-S evidence theory can improve speed, correctness and reliability of fault diagnosis for high-voltage circuit breaker, and the more fused data there is, the higher reliability of fault diagnosis is. Besides, the method has universality.
- high-voltage circuit breaker, fault diagnosis, multi-sensor, data fusion, D-S evidence theory