Advances in Condition Monitoring of Machinery in Non-Stationary Operations

1. Front Matter

   Pages i-xi

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2. Signal Processing

   1. Front Matter

      Pages 1-1

      PDF

   2. Method of Analysing Non-stationary Electrical Signals

      • Georgia Cablea, Pierre Granjon, Christophe Bérenguer

      Pages 3-14

   3. Electrical Modeling for Faults Detection Based on Motor Current Signal Analysis and Angular Approach

      • Aroua Fourati, Nabih Feki, Adeline Bourdon, Didier Rémond, Fakher Chaari, Mohamed Haddar

      Pages 15-25

   4. Electrical Induction Motor Higher Harmonics Analysis Based on Instantaneous Angular Speed Measurement

      • Marco Spagnol, Luigi Bregant, Alessandro Boscarol

      Pages 27-41

   5. Evaluation and Improvement of Accuracy in the Instantaneous Angular Speed (IAS) and Torsional Vibration Measurement Using Zebra Tapes

      • Antonio Palermo, Karl Janssens, Laurent Britte

      Pages 43-56

   6. Vibration Analysis of Copper Ore Crushers Used in Mineral Processing Plant—Problem of Bearings Damage Detection in Presence of Heavy Impulsive Noise

      • Radoslaw Zimroz, Jakub Obuchowski, Agnieszka Wyłomańska

      Pages 57-70

   7. Analysis and Signal Processing of a Gearbox Vibration Signal with a Defective Rolling Element Bearing

      • Nader Sawalhi, Suri Ganeriwala

      Pages 71-85

   8. Monitoring Based on Time-Frequency Tracking of Estimated Harmonic Series and Modulation Sidebands

      • Timothée Gerber, Nadine Martin, Corinne Mailhes

      Pages 87-98

   9. Blind Extraction of Instantaneous Frequency for Order Tracking in Rotating Machines Under Non-stationary Operating Conditions

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

      Pages 99-110

   10. New Criteria for Adaptive Blind Deconvolution of Vibration Signals from Planetary Gearbox

       • Jakub Obuchowski, Agnieszka Wylomanska, Radoslaw Zimroz

       Pages 111-125

   11. Automatic and Full-Band Demodulation for Fault Detection—Validation on a Wind Turbine Test Rig

       • Marcin Firla, Zhong-Yang Li, Nadine Martin, Tomasz Barszcz

       Pages 127-138

   12. Robust Information Indices for Diagnosing Mechanical Drives Under Non-stationary Operating Conditions

       • Boštjan Dolenc, Pavle Boškoski, Ðani Juričić

       Pages 139-149

   13. Empirical Mode Decomposition Combined with Empirical Wavelets for Extracting Bearing Frequencies in a Noisy Environment and Early Detection of Defects

       • Mourad Kedadouche, Marc Thomas, Antoine Tahan

       Pages 151-165

   14. Knife Diagnostics with Empirical Mode Decomposition

       • Michele Cotogno, Marco Cocconcelli, Riccardo Rubini

       Pages 167-175

   15. Detection of Gear Faults in Variable Rotating Speed Using EEMD Decomposition and Instantaneous Frequency

       • Hafida Mahgoun, Ahmed Felkaoui, Semchedine Fedala, Fakher Chaari

       Pages 177-195

   16. Multidimensional Signal Analysis for Technical Condition, Operation and Performance Understanding of Heavy Duty Mining Machines

       • Pawel K. Stefaniak, Radoslaw Zimroz, Pawel Sliwinski, Marek Andrzejewski, Agnieszka Wyłomanska

       Pages 197-210

3. Data Mining

   1. Front Matter

      Pages 211-211

      PDF

   2. Analyzing State Dynamics of Wind Turbines Through SCADA Data Mining

      • Francesco Castellani, Davide Astolfi, Ludovico Terzi

      Pages 213-223

   3. Using SCADA Data for Fault Detection in Wind Turbines: Local Internal Model Versus Distance to a Wind Farm Reference

      • Alexis Lebranchu, Sylvie Charbonnier, Christophe Berenguer, Frédéric Prevost

      Pages 225-236

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 4^th 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
• quality control, reliability, safety and risk

• National School of Engineers of Sfa, Sfax, Tunisia

  Fakher Chaari

• Diagnostics and Vibro-Acoustics Science Laboratory, Wrocław University of Technology Institute of Mining Engineering, Wroclaw, Poland

  Radoslaw Zimroz

• Diagnostics and Vibro-Acoustics Science Laboratory, Wrocław Univ of Technology Inst of Mining Engineering, Wroclaw, Poland

  Walter Bartelmus

• Mechanical Engineering Department, National School of Engineers of Sfa, Sfax, Tunisia

  Mohamed Haddar

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