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Condition Monitoring of Machinery in Non-Stationary Operations

Proceedings of the Second International Conference "Condition Monitoring of Machinery in Non-Stationnary Operations" CMMNO’2012

  • Conference proceedings
  • © 2012

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Editors:
  1. Tahar Fakhfakh

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

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  2. Walter Bartelmus

    1. Wrocław University of Technology, Wrocław, Poland

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  3. Fakher Chaari

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

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  4. Radoslaw Zimroz

    1. 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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  • Latest research on Condition Monitoring of Machinery in Non-Stationary Operations

  • Proceedings of the second International Conference "Condition Monitoring of Machinery in Non-Stationary Operations" CMMNO’2012

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Table of contents (65 papers)

  1. Chapter 2: Modelling of Dynamics and Fault in Systems

    1. Eccentricity Incidence on the Nonlinear Behavior of a Helical Gear

      • Hentati Taissir, Abbes Mohamed Slim, Fakher Chaari, Tahar Fakhfakh, Mohamed Haddar
      Pages 175-182

    2. A Maintenance Alarm for Alternators Based on Eigensolutions

      • Antoine Kuczkowiak, Scott Cogan, Morvan Ouisse, Emmanuel Foltête, Mathieu Corus
      Pages 183-192

    3. Multi-objective Discrete Rotor Design Optimization

      • Ibrahim M’laouhi, Najeh Ben Guedria, Hichem Smaoui
      Pages 193-200

    4. A Critical Speed Optimization of Rail Vehicle System Based on Safety Criterion

      • Mohamed Nejlaoui, Ajmi Houidi, Zouheir Affi, Lotfi Romdhane
      Pages 201-211

    5. Dynamic Behavior of an Aerodynamics Turbine Coupled to a Multiplier Helical Three-Stage Gear

      • Yassine Driss, Kamel Abboudi, Moez Bayaoui, Lassaad Walha, Mohamed Maatar, Mohamed Haddar
      Pages 213-220

  2. Chapter 3: Signal Processing and Pattern Recognition

    1. Front Matter

      Pages 221-221
      Download chapter PDF

    2. Gearbox Fault Diagnosis Using Time-Wavelet Energy Spectral Analysis

      • Jin Zhang, Zhipeng Feng, Zhaoye Qin, Fulei Chu
      Pages 223-230

    3. Numerical Investigations on the Magnitude of Disturbance That Could Be Detected through IAS Monitoring

      • Bourdon Adeline, André Hugo, Rémond Didier
      Pages 231-238

    4. Time-Frequency Analysis Techniques Review and Their Application on Roller Bearings Prognostics

      • Mohamed Boufenar, Said Rechak, Mohamed Rezig
      Pages 239-246

    5. Reconstruction of Sound Sources of Gear Transmission Mechanism by Planar Near Field Acoustical Holography

      • Abbassia Derouiche, Nacer Hamzaoui, Taoufik Boukharouba
      Pages 247-255

    6. Application of Empirical Mode Decomposition for Impulsive Signal Extraction to Detect Bearing Damage – Industrial Case Study

      • Jacek Dybała, Radoslaw Zimroz
      Pages 257-266

    7. On the Use of Fourier-Bessel Series Expansion for Gear Diagnostics

      • Gianluca D’Elia, Simone Delvecchio, Giorgio Dalpiaz
      Pages 267-275

    8. Genetic Optimization of Decision Tree Choice for Fault Diagnosis in an Industrial Ventilator

      • Nour El Islem Karabadji, Ilyes Khelf, Hassina Seridi, Lakhdar Laouar
      Pages 277-283

    9. Combining RBF-PCA-ReliefF Filter for a Better Diagnosis Performance in Rotating Machines

      • Ilyes Khelf, Lakhdar Laouar, Hocine Bendjama, Abdelaziz Mahmoud Bouchelaghem
      Pages 285-292

    10. Acoustical Holography for Non-Stationary Sources Using Orthogonal-Like Fractional Octave Band Filters

      • Fedia Maalej, Jérôme Antoni, Mohamed Haddar, Tahar Fakhfakh
      Pages 293-300

    11. Application of Schur Filtering for Local Damage Detection in Gearboxes

      • Ryszard Makowski, Radoslaw Zimroz
      Pages 301-308

    12. Feature Selection for Diesel Engine Fault Classification

      • Ezzeddine Ftoutou, Mnaouar Chouchane, Noureddine Besbès
      Pages 309-318

    13. Gears and Bearings Combined Faults Detection Using Hilbert Transform and Wavelet Multiresolution Analysis

      • Issam Moumene, Nouredine Ouelaa
      Pages 319-328

    14. Artificial Immune System for Condition Monitoring Based on Euclidean Distance Minimization

      • Luca Montechiesi, Marco Cocconcelli, Riccardo Rubini
      Pages 329-337

    15. Conditioning of a Spectral Indicator for the Detection of Rotor Faults of an Induction Motor by Using the TSA Method

      • Nabil Ngote, Saïd Guedira, Mohamed Cherkaoui
      Pages 339-346
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Keywords

About this book

Condition monitoring of machines in non-stationary operations (CMMNO) can be seen as the major challenge for research in the field of machinery diagnostics.

Condition monitoring of machines in non-stationary operations is the title of the presented book and the title of the Conference held in Hammamet - Tunisia March 26 – 28, 2012. It is the second conference under this title, first took place in Wroclaw - Poland , March 2011.

The subject CMMNO comes directly from industry needs and observation of real objects. Most monitored and diagnosed objects used in industry works in non-stationary operations condition. The non-stationary operations come from fulfillment of machinery tasks, for which they are designed for. All machinery used in different kind of mines, transport systems, vehicles like: cars, buses etc, helicopters, ships and battleships and so on work in non-stationary operations.

The papers included in the book are shaped by the organizing board of the conference and authors of the papers.

The papers are divided into five sections, namely:

Condition monitoring of machines in non-stationary operations

Modeling of dynamics and fault in systems

Signal processing and Pattern recognition

Monitoring and diagnostic systems   

Noise and vibration of machines

The presented book gives the back ground to the main objective of the CMMNO 2012 conference that is to bring together scientific community to discuss the major advances in the field of machinery condition monitoring in non-stationary conditions.

Editors and Affiliations

  • National School of Engineers of Sfax, Sfax, Tunisia

    Tahar Fakhfakh, Fakher Chaari, Mohamed Haddar

  • Wrocław University of Technology, Wrocław, Poland

    Walter Bartelmus, Radoslaw Zimroz

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