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A Method of Metro Vehicle Auxiliary Inverter Fault Diagnosis Based on Weighted Fuzzy Clustering Algorithm

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Proceedings of 2013 Chinese Intelligent Automation Conference

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 254))

Abstract

In this paper, the principle of weighted fuzzy C-means clustering algorithm is introduced, and the application of the algorithm in the fault diagnosis of auxiliary inverter is studied. MATLAB software is used and several fault types are set during the simulation, such as voltage frequency variation, power supply interruption, pulse transient and so on. Fault feature vectors are obtained by the method of decomposition of wavelet packet, express the relative degree of importance of various data by weights, and then calculating the similarity degree of the samples to be diagnosed and the standard samples to realize the recognition of fault pattern. The experiment results show that the faults can be identified accurately.

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Acknowledgments

This work is partially supported by the National Key Technology R&D Program (2011BAG01B05), the Foundation of Shandong Province (BS2011DX008, ZR2011FQ012, ZR2011FM008), 863 Program (2011AA110501) and the State Key Laboratory of Rail Traffic Control and Safety Foundation (RCS2011K005, RCS2012K006) Beijing Jiaotong University.

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Authors and Affiliations

  1. College of Automation Engineering, Qingdao University, No 308 Ningxia Road, Qingdao, 266071, China

    Zengtao Ma, Junwei Gao & Bin Zhang

  2. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, 100044, China

    Junwei Gao, Dechen Yao & Yong Qin

Authors
  1. Zengtao Ma
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  2. Junwei Gao
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  3. Bin Zhang
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  4. Dechen Yao
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  5. Yong Qin
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Corresponding author

Correspondence to Junwei Gao .

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Editors and Affiliations

  1. , Department of Computer Science, Tsinghua University, Qinghua, Beijing, 100084, China, People's Republic

    Zengqi Sun

  2. Tsinghua University, Qinghua, Beijing, 100084, China, People's Republic

    Zhidong Deng

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Ma, Z., Gao, J., Zhang, B., Yao, D., Qin, Y. (2013). A Method of Metro Vehicle Auxiliary Inverter Fault Diagnosis Based on Weighted Fuzzy Clustering Algorithm. In: Sun, Z., Deng, Z. (eds) Proceedings of 2013 Chinese Intelligent Automation Conference. Lecture Notes in Electrical Engineering, vol 254. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38524-7_69

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  • DOI: https://doi.org/10.1007/978-3-642-38524-7_69

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38523-0

  • Online ISBN: 978-3-642-38524-7

  • eBook Packages: EngineeringEngineering (R0)

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