© 2016

Advances in Condition Monitoring of Machinery in Non-Stationary Operations

Proceedings of the Fourth International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO'2014, Lyon, France December 15-17

  • Fakher Chaari
  • Radoslaw Zimroz
  • Walter Bartelmus
  • Mohamed Haddar
  • Reports on the latest research trends and advanced solutions for machine condition monitoring

  • Includes both theory and case studies

  • Offers a hands-on reference guide to signal-processing techniques, data mining and condition monitoring of machines under non-stationary conditions

Conference proceedings CMMNO 2014

Part of the Applied Condition Monitoring book series (ACM, volume 4)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Signal Processing

    1. Front Matter
      Pages 1-1
    2. Georgia Cablea, Pierre Granjon, Christophe Bérenguer
      Pages 3-14
    3. Aroua Fourati, Nabih Feki, Adeline Bourdon, Didier Rémond, Fakher Chaari, Mohamed Haddar
      Pages 15-25
    4. Jakub Obuchowski, Agnieszka Wylomanska, Radoslaw Zimroz
      Pages 111-125
    5. Marcin Firla, Zhong-Yang Li, Nadine Martin, Tomasz Barszcz
      Pages 127-138
    6. Michele Cotogno, Marco Cocconcelli, Riccardo Rubini
      Pages 167-175
    7. Hafida Mahgoun, Ahmed Felkaoui, Semchedine Fedala, Fakher Chaari
      Pages 177-195
    8. Pawel K. Stefaniak, Radoslaw Zimroz, Pawel Sliwinski, Marek Andrzejewski, Agnieszka Wyłomanska
      Pages 197-210
  3. Data Mining

    1. Front Matter
      Pages 211-211
    2. Francesco Castellani, Davide Astolfi, Ludovico Terzi
      Pages 213-223
    3. Alexis Lebranchu, Sylvie Charbonnier, Christophe Berenguer, Frédéric Prevost
      Pages 225-236

About these proceedings


The book provides readers with a snapshot of recent research and technological trends in the field of condition monitoring of machinery working under a broad range of operating conditions. Each chapter, accepted after a rigorous peer-review process, reports on an original piece of work presented and discussed at the 4th International Conference on Condition Monitoring of Machinery in Non-stationary Operations, CMMNO 2014, held on December 15-16, 2014, in Lyon, France. The contributions have been grouped into three different sections according to the main subfield (signal processing, data mining, or condition monitoring techniques) they are related to. The book includes both theoretical developments as well as a number of industrial case studies, in different areas including, but not limited to: noise and vibration; vibro-acoustic diagnosis; signal processing techniques; diagnostic data analysis; instantaneous speed identification; monitoring and diagnostic systems; and dynamic and fault modeling. This book not only provides a valuable resource for both academics and professionals in the field of condition monitoring, it also aims at facilitating communication and collaboration between the two groups.


Acoustic Emissions Electrical Modeling Fault Diagnosis Gearbox Diagnostics Gearbox Dynamic Modelling Planetary Gears Rotating Machine Vibration Analysis Wind Turbine Condition Monitoring

Editors and affiliations

  • Fakher Chaari
    • 1
  • Radoslaw Zimroz
    • 2
  • Walter Bartelmus
    • 3
  • Mohamed Haddar
    • 4
  1. 1.National School of Engineers of SfaSfaxTunisia
  2. 2.Diagnostics and Vibro-Acoustics Science LaboratoryWrocław University of Technology Institute of Mining EngineeringWroclawPoland
  3. 3.Diagnostics and Vibro-Acoustics Science LaboratoryWrocław Univ of Technology Inst of Mining EngineeringWroclawPoland
  4. 4.Mechanical Engineering DepartmentNational School of Engineers of SfaSfaxTunisia

Bibliographic information

  • Book Title Advances in Condition Monitoring of Machinery in Non-Stationary Operations
  • Book Subtitle Proceedings of the Fourth International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO'2014, Lyon, France December 15-17
  • Editors Fakher Chaari
    Radoslaw Zimroz
    Walter Bartelmus
    Mohamed Haddar
  • Series Title Applied Condition Monitoring
  • Series Abbreviated Title Applied Condition Monitoring
  • DOI
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-319-20462-8
  • Softcover ISBN 978-3-319-37302-7
  • eBook ISBN 978-3-319-20463-5
  • Series ISSN 2363-698X
  • Series E-ISSN 2363-6998
  • Edition Number 1
  • Number of Pages XI, 494
  • Number of Illustrations 47 b/w illustrations, 248 illustrations in colour
  • Topics Machinery and Machine Elements
    Signal, Image and Speech Processing
    Quality Control, Reliability, Safety and Risk
    Vibration, Dynamical Systems, Control
  • Buy this book on publisher's site