[1]LIU Yingmei,Yang Wanhui,ZHANG Jian,et al.Substation fault diagnosis based on artificial neural network[J].Journal of Zhengzhou University (Engineering Science),1999,20(04):86-88.[doi:10.3969/j.issn.1671-6833.1999.04.027]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
20卷
Number of periods:
1999 No.04
Page number:
86-88
Column:
Public date:
1999-01-01
- Title:
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Substation fault diagnosis based on artificial neural network
- Author(s):
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LIU Yingmei; Yang Wanhui; ZHANG Jian; etc
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-
- Keywords:
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neural networks; Fault diagnosis; Substations
- CLC:
-
-
- DOI:
-
10.3969/j.issn.1671-6833.1999.04.027
- Abstract:
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This method uses artificial neural network (ANN) to realize substation fault diagnosis, which makes full use of the strong learning ability and high fault tolerance of artificial neural network to realize the diagnosis of substation fault components. The simulation results show that this method can not only accurately diagnose the faulty components when the protection and switch operate correctly, but also effectively diagnose the faulty components when the protection or switch rejects the leapfrog fault.