Advances in Condition Monitoring of Machinery in Non-Stationary Operations

Proceedings of the 5th International Conference on Condition Monitoring of Machinery in Non-stationary Operations, CMMNO’2016, 12–16 September 2016, Gliwice, Poland

  • Anna Timofiejczuk
  • Fakher Chaari
  • Radoslaw Zimroz
  • Walter Bartelmus
  • Mohamed Haddar

Part of the Applied Condition Monitoring book series (ACM, volume 9)

Table of contents

  1. Front Matter
    Pages i-x
  2. Mirosław Witos, Mariusz Zieja, Andrzej Szczepankowski, Janusz Szymczak
    Pages 1-10
  3. Amadou Assoumane, Julien Roussel, Edgard Sekko, Cécile Capdessus
    Pages 11-20
  4. J. Roussel, A. Assoumane, C. Capdessus, E. Sekko
    Pages 21-31
  5. Aroua Fourati, Adeline Bourdon, Didier Rémond, Nabih Feki, Fakher Chaari, Mohamed Haddar
    Pages 45-54
  6. Clement Uchechukwu Mba, Stefano Marchesiello, Alessandro Fasana, Luigi Garibaldi
    Pages 55-70
  7. Achraf Lahrache, Marco Cocconcelli, Riccardo Rubini
    Pages 81-90
  8. Adam Jabłoński, Kajetan Dziedziech, Ziemowit Dworakowski
    Pages 103-110
  9. Adam Jabłoński, Michał Żegleń, Wojciech Staszewski, Piotr Czop, Tomasz Barszcz
    Pages 111-121
  10. Kajetan Dziedziech, Adam Jabłoński, Tomasz Barszcz
    Pages 123-131
  11. Paweł Różak, Jakub Zieliński, Piotr Czop, Adam Jabłoński, Tomasz Barszcz, Michał Mareczek
    Pages 133-145
  12. Krzysztof Szczurowski, Stanisław Radkowski, Łukasz Zieliński, Damian Walczak
    Pages 157-166
  13. Ilyes Khelf, Jose L. Gomez, Adeline Bourdon, Hugo Andre, Didier Remond
    Pages 167-177
  14. O. Cardona-Morales, E. F. Sierra-Alonso, G. Castellanos-Dominguez
    Pages 191-201
  15. Sebastian Budzan, Dariusz Buchczik, Marek Pawełczyk, Roman Wyżgolik
    Pages 203-212

About these proceedings

Introduction

This book provides readers with a snapshot of recent methods for non-stationary vibration analysis of machinery. It covers a broad range of advanced techniques in condition monitoring of machinery, such as mathematical models, signal processing and pattern recognition methods and artificial intelligence methods, and their practical applications to the analysis of nonstationarities. Each chapter, accepted after a rigorous peer-review process, reports on a selected, original piece of work presented and discussed at the International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO’2016, held on September 12 – 16, 2016, in Gliwice, Poland. The contributions cover advances in both theory and practice in a variety of subfields, such as: smart materials and structures; fluid-structure interaction; structural acoustics as well as computational vibro-acoustics and numerical methods. Further topics include: engines control, noise identification, robust design, flow-induced vibration and many others. By presenting state-of-the-art in predictive maintenance solutions and discussing important industrial issues the book offers a valuable resource to both academics and professionals and is expected to facilitate communication and collaboration between the two groups.

Keywords

Vibro-acoustic Diagnosis Vibration Monitoring Defects Detection and Monitoring Fault Diagnosis Defect Modeling Signal Processing for Condition Monitoring Nonstationary Signal Processing Nonstationary Load / Speed Conditions CMMNO2016 Proceedings ICTD2016

Editors and affiliations

  • Anna Timofiejczuk
    • 1
  • Fakher Chaari
    • 2
  • Radoslaw Zimroz
    • 3
  • Walter Bartelmus
    • 4
  • Mohamed Haddar
    • 5
  1. 1.Faculty of Mechanical EngineeringSilesian University of Technology GliwicePoland
  2. 2.National School of Engineers of SfaxSfaxTunisia
  3. 3.Institute of Mining EngineeringWrocław University of TechnologyWrocławPoland
  4. 4.Institute of Mining EngineeringWrocław University of TechnologyWrocławPoland
  5. 5.National School of Engineers of SfaxSfaxTunisia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-61927-9
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-61926-2
  • Online ISBN 978-3-319-61927-9
  • Series Print ISSN 2363-698X
  • Series Online ISSN 2363-6998
  • About this book
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