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The Fault Diagnosis and Monitoring of Rotating Machines by Thermography

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Engineering Asset Management and Infrastructure Sustainability

Abstract

The thermography is a convenient and versatile diagnosis method for many types of physical asset such as electric equipments, buildings, and mechanical equipments. However, the interpretation of measurements is just by experts until now. This paper describes an intelligent system for rotating machine fault diagnosis based on statistical feature of thermal images through automated algorithm that can detect and classify those defects. It will be evaluated by experimental dataset. By this, the expert system for condition monitoring and diagnosis will be more effective and the scope of discrimination by Expert system will be better with combining the result of automated diagnosis of vibration data.

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Author information

Authors and Affiliations

  1. School of Mechanical Engineering, Pukyong National University, San 100, Yongdang-dong, Nam-gu, Busan, 608-739, Republic of Korea

    Gang-Min Lim, Younus Ali & Bo-Suk Yang

Authors
  1. Gang-Min Lim
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  2. Younus Ali
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  3. Bo-Suk Yang
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Editor information

Editors and Affiliations

  1. Queensland University of Technology, Bardolph Place 10, Sunnybank Hills, 4109, Australia

    Joseph Mathew

  2. , Electrical & Electronic Engineering, Nanyang Technological University, Nanyang Avenue, Singapore, 639798, Singapore

    Lin Ma

  3. Queensland University of Technology, Arrabri Av 192, Mt Ommaney, 4074, Australia

    Andy Tan

  4. Delft University of Technology, Gerard Brandtstraat 107, Leiden, 2332 AK, Netherlands

    Margot Weijnen

  5. University of Cincinnati, Saint Andrews Court 3939, Mason, 45040, USA

    Jay Lee

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© 2012 Springer-Verlag London Limited

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Cite this paper

Lim, GM., Ali, Y., Yang, BS. (2012). The Fault Diagnosis and Monitoring of Rotating Machines by Thermography. In: Mathew, J., Ma, L., Tan, A., Weijnen, M., Lee, J. (eds) Engineering Asset Management and Infrastructure Sustainability. Springer, London. https://doi.org/10.1007/978-0-85729-493-7_43

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  • DOI: https://doi.org/10.1007/978-0-85729-493-7_43

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  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-301-5

  • Online ISBN: 978-0-85729-493-7

  • eBook Packages: EngineeringEngineering (R0)

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