DocumentCode
2930148
Title
Design of intelligent diagnosis module for high voltage circuit breaker based on dual-MCU control
Author
Li, Zhankai ; Wang, Jingqin ; Zhang, Fumin ; Li, Baoyun ; Li, Si ; Zhao, Jianyang ; Sun, Yongcui
Author_Institution
Province-Minist. Joint Key Lab. of Electromagn. Field & Electr. Apparatus Reliability, Hebei Univ. of Technol., Tianjin, China
fYear
2011
fDate
23-27 Oct. 2011
Firstpage
219
Lastpage
223
Abstract
Circuit breaker is the most important control and protection equipment in power system, and one of the equipment is the high-voltage circuit breaker which has large number, big maintenance volume and high cost. Blindness of the periodic maintenance system is easy to introduce new fault risks, reduce device reliability. To ensure the safe operation of electrical equipment, it is necessary to run fault diagnosis for high voltage circuit breaker. In this paper, the first assignment is the design of hardware of failure monitoring module. The structure with dual-MCU which built up of DSP and dual-CPU structure is used as the intelligent diagnostic module, so that quickly determine and response can be made when sudden fault happens. It also has the advantage of low cost, low power consumption and high data processing capability. In Software, using the diagnostic expert system which based on the RBF neural network can make a rapidly diagnose for variety of faults, can add the new type of confirmed fault to the knowledge base. It effectively solves the problem that expert system knowledge is difficult to obtain.
Keywords
circuit breakers; diagnostic expert systems; maintenance engineering; power consumption; power engineering computing; radial basis function networks; safety; DSP; RBF neural network; control equipment; diagnostic expert system; dual-CPU structure; dual-MCU control; electrical equipment; failure monitoring module; fault risks; high voltage circuit breaker; intelligent diagnosis module design; periodic maintenance system; power consumption; power system; protection equipment; safe operation; Biological neural networks; Circuit breakers; Circuit faults; Coils; Expert systems; Fault diagnosis; dual-MCU; high voltage circuit breaker; intelligent diagnostic module;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Power Equipment - Switching Technology (ICEPE-ST), 2011 1st International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4577-1273-9
Type
conf
DOI
10.1109/ICEPE-ST.2011.6122973
Filename
6122973
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