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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

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Anna Timofiejczuk

    1. Faculty of Mechanical Engineering, Silesian University of Technology, Gliwice, Poland

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  2. Fakher Chaari

    1. National School of Engineers of Sfax, Sfax, Tunisia

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  3. Radoslaw Zimroz

    1. Institute of Mining Engineering, Wrocław University of Technology, Wrocław, Poland

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  4. Walter Bartelmus

    1. Institute of Mining Engineering, Wrocław University of Technology, Wrocław, Poland

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  5. Mohamed Haddar

    1. National School of Engineers of Sfax, Sfax, Tunisia

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  • Presents cutting-edge methods for machinery diagnostics
  • Describes advanced models of non-stationary signals of machinery
  • Includes advanced signal processing methods for the analysis of non-stationary processes
  • Includes supplementary material: sn.pub/extras

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

Included in the following conference series:

Conference proceedings info: CMMNO 2016.

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Table of contents (34 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Structural Health Monitoring of Aero-Engines in Non-stationary Operations

    • Mirosław Witos, Mariusz Zieja, Andrzej Szczepankowski, Janusz Szymczak
    Pages 1-10

  3. A New Approach to Tune the Vold-Kalman Estimator for Order Tracking

    • Amadou Assoumane, Julien Roussel, Edgard Sekko, Cécile Capdessus
    Pages 11-20

  4. Estimation of Cyclic Cumulants of Machinery Vibration Signals in Non-stationary Operation

    • J. Roussel, A. Assoumane, C. Capdessus, E. Sekko
    Pages 21-31

  5. Simplified Dynamic Model of a Wind Turbine Shaft Line Operating in Non-stationary Conditions Applied to the Analysis of IAS as a Machinery Surveillance Tool

    • Jose L. Gomez, Ilyes Khelf, Adeline Bourdon, Hugo André, Didier Rémond
    Pages 33-43

  6. Current Signal Analysis of an Induction Machine with a Defective Rolling Bearing

    • Aroua Fourati, Adeline Bourdon, Didier Rémond, Nabih Feki, Fakher Chaari, Mohamed Haddar
    Pages 45-54

  7. Fault Detection in Gears Using Stochastic Resonance

    • Clement Uchechukwu Mba, Stefano Marchesiello, Alessandro Fasana, Luigi Garibaldi
    Pages 55-70

  8. The Impact Estimation of Damping Foundations in Dynamics of the Rotor System in Non-stationary States

    • Andrzej Grządziela, Marcin Kluczyk, Paweł Chwin
    Pages 71-80

  9. Knife Diagnostics with Clustering Techniques and Support Vector Machines

    • Achraf Lahrache, Marco Cocconcelli, Riccardo Rubini
    Pages 81-90

  10. Stable Distributions and Fractal Diagnostic Models of Vibration Signals of Rotating Systems

    • Andrzej Puchalski, Iwona Komorska
    Pages 91-101

  11. Selection of Suitable Method for Speed Recovery from Vibration Signal

    • Adam Jabłoński, Kajetan Dziedziech, Ziemowit Dworakowski
    Pages 103-110

  12. How to Build a Vibration Monitoring System on Your Own?

    • Adam Jabłoński, Michał Żegleń, Wojciech Staszewski, Piotr Czop, Tomasz Barszcz
    Pages 111-121

  13. Optimization of Calculations for Wireless Condition Monitoring Systems

    • Kajetan Dziedziech, Adam Jabłoński, Tomasz Barszcz
    Pages 123-131

  14. Supervised Classification Methods in Condition Monitoring of Rolling Element Bearings

    • Paweł Różak, Jakub Zieliński, Piotr Czop, Adam Jabłoński, Tomasz Barszcz, Michał Mareczek
    Pages 133-145

  15. Empirical Signal Decomposition Methods as a Tool of Early Detection of Bearing Fault

    • Jacek Dybała, Jakub Komoda
    Pages 147-156

  16. Using Vibroacoustic Signals in Evaluation of Knocking Combustion in a Dual Fuel Engine

    • Krzysztof Szczurowski, Stanisław Radkowski, Łukasz Zieliński, Damian Walczak
    Pages 157-166

  17. Hybrid Scheme for Wind Turbine Condition Monitoring Based on Instantaneous Angular Speed and Pattern Recognition

    • Ilyes Khelf, Jose L. Gomez, Adeline Bourdon, Hugo Andre, Didier Remond
    Pages 167-177

  18. Fault Diagnostic of Machines Under Variable Speed Operating Conditions Using Order Tracking and Novelty Detection

    • O. Cardona-Morales, G. Castellanos-Dominguez
    Pages 179-189

  19. Bearing Fault Identification Based on Blind Extraction of Cyclostationary Signals Using Order Tracking

    • O. Cardona-Morales, E. F. Sierra-Alonso, G. Castellanos-Dominguez
    Pages 191-201

  20. Rotating Machinery Diagnostics Based on Fusion of Infrared and Vibration Measurements

    • Sebastian Budzan, Dariusz Buchczik, Marek Pawełczyk, Roman Wyżgolik
    Pages 203-212
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Other volumes

  1. Advances in Condition Monitoring of Machinery in Non-Stationary Operations

Keywords

About this book

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.

Editors and Affiliations

  • Faculty of Mechanical Engineering, Silesian University of Technology, Gliwice, Poland

    Anna Timofiejczuk

  • National School of Engineers of Sfax, Sfax, Tunisia

    Fakher Chaari, Mohamed Haddar

  • Institute of Mining Engineering, Wrocław University of Technology, Wrocław, Poland

    Radoslaw Zimroz, Walter Bartelmus

Bibliographic Information

  • Book Title: Advances in Condition Monitoring of Machinery in Non-Stationary Operations

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

  • Editors: Anna Timofiejczuk, Fakher Chaari, Radoslaw Zimroz, Walter Bartelmus, Mohamed Haddar

  • Series Title: Applied Condition Monitoring

  • DOI: https://doi.org/10.1007/978-3-319-61927-9

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2018

  • Hardcover ISBN: 978-3-319-61926-2Published: 22 September 2017

  • Softcover ISBN: 978-3-319-87192-9Published: 11 September 2018

  • eBook ISBN: 978-3-319-61927-9Published: 20 September 2017

  • Series ISSN: 2363-698X

  • Series E-ISSN: 2363-6998

  • Edition Number: 1

  • Number of Pages: X, 373

  • Number of Illustrations: 47 b/w illustrations, 159 illustrations in colour

  • Topics: Vibration, Dynamical Systems, Control, Signal, Image and Speech Processing, Mathematical Modeling and Industrial Mathematics, Manufacturing, Machines, Tools, Processes

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