Abstract
This paper presents a multi-sensor information fusion technology based on electrical system fault diagnosis model, analysis the multi-sensor information fusion technology of several structure layer and realization method, and discusses its application in fault diagnosis of electrical system. Select and implement appropriate methods for the information fusion, the different error characteristic parameters in electrical system can be fused and calculated by this model, and a more valuable conclusion for the fault diagnosis of electrical system can be provided.
Highlights
Electricity plays a vital role in human life
The fault diagnosis system which is designed for the power system using multi-sensor information fusion technology, this technology including data fusion and knowledge fusion, data-knowledge fusion, namely data mining
The electrical system based on multi-sensor information fusion technology should monitor parameters which include power system voltage, current flow, equipment temperature, oil spills and so on
Summary
Electricity plays a vital role in human life. Fault diagnosis need to ensure that the electrical system is safe and reliable, without any potential accidents. In practice, whether the system is faulty can’t be determined by diagnosis based on one parameter. Different angles of the electrical system operating parameters can be gotten by the multi-sensor information fusion technology, Thereby effectively integrating and merging all the parameters. Fault diagnosis of electrical system can be guaranteed, and identify and locate the electrical system failure accurately. This paper analyzes the multi-sensor information fusion technology and its application in the electrical system
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