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Rotating Machinery and Signal Processing

Proceedings of the First Workshop on Signal Processing Applied to Rotating Machinery Diagnostics, SIGPROMD’2017, April 09-11, 2017, Setif, Algeria

  • Ahmed Felkaoui
  • Fakher Chaari
  • Mohamed Haddar
Conference proceedings SIGPROMD’2017 2017

Part of the Applied Condition Monitoring book series (ACM, volume 12)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Ridha Ziani, Hafida Mahgoun, Semcheddine Fedala, Ahmed Felkaoui
    Pages 1-15
  3. Hafida Mahgoun, Ridha Ziani
    Pages 44-55
  4. Maroua Haddar, S. Caglar Baslamisli, Fakher Chaari, Mohamed Haddar
    Pages 79-86
  5. Ahmed Ghorbel, Moez Abdennadher, Lassâad Walha, Becem Zghal, Mohamed Haddar
    Pages 87-95
  6. Dorra Ben Hassen, Mariem Miladi, Mohamed Slim Abbes, S. Caglar Baslamisli, Fakher Chaari, Mohamed Haddar
    Pages 96-103
  7. Ahmed Hammami, Alfonso Fernandez del Rincon, Fakher Chaari, Fernando Viadero Rueda, Mohamed Haddar
    Pages 104-115
  8. Oussama Graja, Bacem Zghal, Kajetan Dziedziech, Fakher Chaari, Adam Jablonski, Tomasz Barszcz et al.
    Pages 116-122
  9. Atef Hmida, Ahmed Hammami, Fakher Chaari, Mohamed Taoufik Khabou, Mohamed Haddar
    Pages 123-132
  10. Back Matter
    Pages 133-133

About these proceedings

Introduction

This book provides readers with a timely snapshot of the potential offered by and challenges posed by signal processing methods in the field of machine diagnostics and condition monitoring. It gathers contributions to the first Workshop on Signal Processing Applied to Rotating Machinery Diagnostics, held in Setif, Algeria, on April 9-10, 2017, and organized by the Applied Precision Mechanics Laboratory (LMPA) at the Institute of Precision Mechanics, University of Setif, Algeria and the Laboratory of Mechanics, Modeling and Manufacturing (LA2MP) at the National School of Engineers of Sfax. The respective chapters highlight research conducted by the two laboratories on the following main topics: noise and vibration in machines; condition monitoring in non-stationary operations; vibro-acoustic diagnosis of machinery; signal processing and pattern recognition methods; monitoring and diagnostic systems; and dynamic modeling and fault detection.

Keywords

Vibration signature Machine modeling Damage monitoring techniques Vibration signal analysis Fault detection methods Fault modeling Intelligent fault diagnosis Digital signal processing Noise monitoring systems SIGROMD2017 workshop Vibration analysis of machinery Rotating machinery diagnostics

Editors and affiliations

  • Ahmed Felkaoui
    • 1
  • Fakher Chaari
    • 2
  • Mohamed Haddar
    • 3
  1. 1.Institute of Optics and Precision MechanicsUniversity Ferhat AbbasSétifAlgeria
  2. 2.National School of Engineers of SfaxSfaxTunisia
  3. 3.National School of Engineers of SfaxSfaxTunisia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-96181-1
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2019
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-96180-4
  • Online ISBN 978-3-319-96181-1
  • Series Print ISSN 2363-698X
  • Series Online ISSN 2363-6998
  • Buy this book on publisher's site
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