2024 Vol.7 Jun.N03

• Title: Intelligent model of circuit breaker remote fault diagnosis based on polymorphic data fusion
• Name: Pak-Ming Tsang
• Company: Thomas Jefferson University,USA
• Abstract:

  Abstract: The reliable operation of circuit breaker can ensure the stable operation of power system.Therefore, to realize the reliable and timely diagnosis of remote fault of circuit breaker, an intelligent model of remote fault diagnosis of circuit breaker based on the fusion of polymorphic data is proposed.The data management layer of the model mainly obtains the information of circuit breaker operation state quantity based on online monitoring, and provides multi-source information source for remote fault diagnosis.After analyzing the characteristics of multi-source data information source, the multi-source information is acquired based on correlation function fusion.The information is input into DS evidence synthesis algorithm based on adaptive weight, and remote intelligent fault diagnosis of circuit breaker is realized by evidence fusion.The test results show that the model has a good fusion effect of multiple information sources and can obtain fault signal information reliably.After fusion, the probability density is up to about 0.80, which improves the reliability of fault information data.The fault diagnosis effect of circuit breakers is good, which can provide reliable basis for power system operation.

  
  

• Keyword: Polymorphic data fusion; Circuit breaker.Remote fault diagnosis; Intelligent model; Evidence fusion; Running state quantity
• DOI: 10.12250/jpciams2024090601
• Citation form: Pak-Ming Tsang. Intelligent model of circuit breaker remote fault diagnosis based on polymorphic data fusion[J]. Computer Informatization and Mechanical System,2024,Vol.7,pp.1-3

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