Condition Monitoring Using Computational Intelligence Methods

Applications in Mechanical and Electrical Systems

Authors: Marwala, Tshilidzi

  • Helps the practitioner prevent machine failure, improving safety and cutting costs
  • Shows the reader how computational intelligence can provide an efficacious alternative to traditional visual inspection techniques
  • Uses on-line learning methods to avoid the need for time-consuming systems retraining
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About this book

Condition Monitoring Using Computational Intelligence Methods promotes the various approaches gathered under the umbrella of computational intelligence to show how condition monitoring can be used to avoid equipment failures and lengthen its useful life, minimize downtime and reduce maintenance costs. The text introduces various signal-processing and pre-processing techniques, wavelets and principal component analysis, for example, together with their uses in condition monitoring and details the development of effective feature extraction techniques classified into frequency-, time-frequency- and time-domain analysis. Data generated by these techniques can then be used for condition classification employing tools such as:

fuzzy systems; rough and neuro-rough sets; neural and Bayesian networks;hidden Markov and Gaussian mixture models; and support vector machines.

About the authors

Tshilidzi Marwala is the Executive Dean of the Faculty of Engineering and the Built Environment at the University of Johannesburg. He was previously a full Professor of Electrical Engineering as well as the Carl and Emily Fuchs Chair of Systems and Control Engineering at the University of the Witwatersrand. He is a Fellow of the Royal Society of Arts as well as the Royal Statistical Society and a Senior Member of both the IEEE and the ACM. He holds a PhD in Engineering from the University of Cambridge and a PLD from Harvard University in the USA. He was a post-doctoral research associate at Imperial College (London) working in the general area of computational intelligence. He was a visiting fellow at Harvard University and Cambridge University. His research interests include the application of computational intelligence to mechanical. civil, aerospace and biomedical engineering.

Professor Marwala has made fundamental contributions to engineering including the development of the concept of pseudo-modal energies and the development of the Bayesian framework for solving engineering problems such as finite-element-model updating. He has supervised 40 masters and PhD students many of whom have proceeded to distinguish themselves at universities such as Harvard, Oxford and Cambridge. He has published over 200 papers in archival journals, proceedings and book chapters and holds 3 patents. He has published three books: Computational Intelligence for Modelling Complex Systems published by Research India Publications, Computational Intelligence for Missing Data Imputation, Estimation, and Management: Knowledge Optimization Techniques published by the IGI Global Publications (New York) and Finite Element Model Updating Using Computational Intelligence published by Springer (2010); he has a fourth, Conflict Modeling Using Computational Intelligence under contract with Springer’s computer science list. He is the Associate Editor of 4 journals including the International Journal of Systems Science and his work has appeared in prestigious publications such as New Scientist.

Table of contents (12 chapters)

  • Introduction to Condition Monitoring in Mechanical and Electrical Systems

    Marwala, Tshilidzi

    Pages 1-25

  • Data Processing Techniques for Condition Monitoring

    Marwala, Tshilidzi

    Pages 27-51

  • Multi-Layer Perceptron for Condition Monitoring in a Mechanical System

    Marwala, Tshilidzi

    Pages 53-69

  • Bayesian Approaches to Condition Monitoring

    Marwala, Tshilidzi

    Pages 71-89

  • The Committee of Networks Approach to Condition Monitoring

    Marwala, Tshilidzi

    Pages 91-110

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-1-4471-2380-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.00
price for USA
  • ISBN 978-1-4471-2379-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.00
price for USA
  • ISBN 978-1-4471-6134-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Condition Monitoring Using Computational Intelligence Methods
Book Subtitle
Applications in Mechanical and Electrical Systems
Authors
Copyright
2012
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London Limited
eBook ISBN
978-1-4471-2380-4
DOI
10.1007/978-1-4471-2380-4
Hardcover ISBN
978-1-4471-2379-8
Softcover ISBN
978-1-4471-6134-9
Edition Number
1
Number of Pages
XVI, 236
Topics