© 2006

Computational Intelligence in Fault Diagnosis

  • Vasile Palade
  • Lakhmi Jain
  • Cosmin Danut Bocaniala


  • Focuses on computational intelligence applications to fault diagnosis with real-world applications used in the different chapters to validate the different diagnosis methods

  • Presents latest concerns and research results in industrial fault diagnosis using intelligent techniques

  • Contains results on the diagnosis of real-life industrial plants

  • Includes one chapter dealing with a novel coherent fault diagnosis distributed methodology for complex systems


Part of the Advanced Information and Knowledge Processing book series (AI&KP)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Luis Mendonça, João Sousa, José Sá da Costa
    Pages 81-104
  3. Cosmin Danut Bocaniala, José Sá da Costa
    Pages 105-123
  4. Dan Stefanoiu, Florin Ionescu
    Pages 125-177
  5. João Calado, José Sá da Costa
    Pages 305-334
  6. Cosmin Danut Bocaniala, José Sá da Costa
    Pages 335-356
  7. Back Matter
    Pages 357-362

About this book


Presenting the latest developments and research results on fault diagnosis approaches using computational intelligence methodologies, this book opens with a review of the state-of-the-art before moving on to focus on various theoretical aspects of computational intelligence methodologies applied to real-world fault diagnosis problems.

Chapters deal with topics such as fuzzy sets applications to fault diagnosis, neural network based fault diagnosis applications and neuro-fuzzy techniques for fault diagnosis. The last chapter considers the problem of diagnosing large scale complex systems using local agents which, in particular, can be implemented using computational intelligence based fault diagnosis techniques. Several case studies are used including applying computational intelligence techniques to aero-engines fault diagnosis and diagnosing faults to various industrial devices, such as a flow control valve and a hydraulic installation in a rolling mill plant.

Computational Intelligence in Fault Diagnosis presents the most recent concerns and research results in industrial fault diagnosis using intelligent techniques, and will be of interest to application engineers/technologists, graduates and researchers wishing to apply these techniques, enhance their knowledge, as well as build up a foundation for further study.


classification complex system fuzzy fuzzy logic fuzzy system intelligence logic

Editors and affiliations

  • Vasile Palade
    • 1
  • Lakhmi Jain
    • 2
  • Cosmin Danut Bocaniala
    • 3
  1. 1.Oxford University Computing LaboratoryOxfordUK
  2. 2.KES CenterUniversity of South AustraliaAustralia
  3. 3.Department of Communication SystemsLancaster UniversityLancasterUK

Bibliographic information

Industry Sectors
Chemical Manufacturing
Health & Hospitals
IT & Software
Consumer Packaged Goods
Materials & Steel
Energy, Utilities & Environment
Oil, Gas & Geosciences


From the reviews:

"This book is a collection of 11 chapters written mostly by authors from European countries and Malaysia. The focus is on fault diagnosis using computational intelligence techniques. … This book will be useful to doctoral students interested in the application of neural and neural-fuzzy techniques to diagnose problems arising in mechanical and aeronautical engineering disciplines." (Rao Vemuri, Computing Reviews, January, 2007)