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The Application of Fuzzy Pattern Recognition on Electromotor Malfunction Diagnosis

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Proceedings of the Second International Conference on Mechatronics and Automatic Control

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 334))

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Abstract

Until now, the fault detection on running motor is deemed a complicated and uncertain problem. In this chapter, a method for motor fault diagnosis based on fuzzy pattern recognition is proposed. With the fuzzy method, the mathematics model and the membership function of diagnosis are presented to provide a way for motor fault diagnosis.

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References

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Author information

Authors and Affiliations

  1. Wuhan Vocational College of Software and Engineering, 430205, Wuhan, China

    Tan Xia

  2. Wuhan No.2 Light Industry School, 430080, Wuhan, China

    Juan Wang

Authors
  1. Tan Xia
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  2. Juan Wang
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Corresponding author

Correspondence to Tan Xia .

Editor information

Editors and Affiliations

  1. University of Massachusetts Lowell, Wellesley, Massachusetts, USA

    Wego Wang

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© 2015 Springer International Publishing Switzerland

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Cite this paper

Xia, T., Wang, J. (2015). The Application of Fuzzy Pattern Recognition on Electromotor Malfunction Diagnosis. In: Wang, W. (eds) Proceedings of the Second International Conference on Mechatronics and Automatic Control. Lecture Notes in Electrical Engineering, vol 334. Springer, Cham. https://doi.org/10.1007/978-3-319-13707-0_13

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  • DOI: https://doi.org/10.1007/978-3-319-13707-0_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13706-3

  • Online ISBN: 978-3-319-13707-0

  • eBook Packages: EngineeringEngineering (R0)

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