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Advances in Condition Monitoring of Machinery in Non-Stationary Operations

Proceedings of the third International Conference on Condition Monitoring of Machinery in Non-Stationary Operations CMMNO 2013

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Giorgio Dalpiaz

    1. Engineering Department, University of Ferrara, Ferrara, Italy

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  2. Riccardo Rubini

    1. Department of Science and Engineering Methods, University of Modena and Reggio Emilia, Reggio Emilia, Italy

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  3. Gianluca D'Elia

    1. Engineering Department, University of Ferrara, Ferrara, Italy

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  4. Marco Cocconcelli

    1. Department of Science and Engineering Methods, University of Modena and Reggio Emilia, Reggio Emilia, Italy

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  5. Fakher Chaari

    1. Mechanical Engineering Department, National School of Engineers of Sfax, Sfax, Tunisia

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  6. Radoslaw Zimroz

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

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  7. Walter Bartelmus

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

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  8. Mohamed Haddar

    1. Mechanical Engineering Department, National School of Engineers of Sfax, Sfax, Tunisia

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  • Recent Research in Condition Monitoring of Machinery in Non-Stationary Operations
  • Proceedings of the third International Conference Condition Monitoring of Machinery in Non-Stationary Operations CMMNO 2013, taking place in Ferrara, Italy, May 8-10, 2013
  • Written by leading experts in the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Lecture Notes in Mechanical Engineering (LNME)

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Table of contents (60 papers)

  1. Front Matter

    Pages i-xiii
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  2. Keynote Speeches

    1. Front Matter

      Pages 1-1
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    2. Dynamical Behavior of Rotating Machinery in Non-Stationary Conditions: Simulation and Experimental Results

      • Nicolò Bachschmid, Steven Chatterton
      Pages 3-21

    3. Speed Transform, a New Time-Varying Frequency Analysis Technique

      • Cécile Capdessus, Edgard Sekko, Jérôme Antoni
      Pages 23-35

    4. SMART: Integrating Human Safety Risk Assessment with Asset Integrity

      • Diego Galar, Peter Sandborn, Uday Kumar, Carl-Anders Johansson
      Pages 37-59

  3. Rolling Bearing Diagnostics

    1. Front Matter

      Pages 61-61
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    2. Incipient Fault Detection in Bearings Through the use of WPT Energy and Neural Networks

      • Maria Jesus Gomez, Cristina Castejon, Juan Carlos Garcia-Prada
      Pages 63-72

    3. Bearing Fault Detection Using Beamforming Technique and Artificial Neural Networks

      • Walace de Souza Pacheco, Fernando A. N. C. Pinto
      Pages 73-80

    4. HOS Analysis of Measured Vibration Data on Rotating Machines with Different Simulated Faults

      • Akilu Yunusa-Kaltungo, Jyoti K. Sinha, Keri Elbhbah
      Pages 81-89

    5. Signal Complexity and Gaussian Process Models Approach for Bearing Remaining Useful Life Estimation

      • Pavle Boškoski, Matej Gašperin, Dejan Petelin
      Pages 91-101

    6. Estimating Rolling Element Bearing Stiffness Under Different Operational Conditions Through Modal Analysis

      • William Jacobs, Rene Boonen, Paul Sas, David Moens
      Pages 103-113

    7. Parametric Analysis Focused on Non-linear Forces in Oil-film Journal Bearings

      • Andrea Vania, Paolo Pennacchi, Steven Chatterton
      Pages 115-125

    8. Diagnostic of Rolling Element Bearings with Envelope Analysis in Non-Stationary Conditions

      • Pietro Borghesani, Roberto Ricci, Steven Chatterton, Paolo Pennacchi
      Pages 127-135

    9. Bearing Fault Identification using Watershed-Based Thresholding Method

      • H. Fandiño-Toro, O. Cardona-Morales, J. Garcia-Alvarez, G. Castellanos-Dominguez
      Pages 137-147

    10. Envelope Cepstrum Based Method for Rolling Bearing Diagnostics

      • Milena Martarelli, Paolo Chiariotti, Enrico Primo Tomasini
      Pages 149-157

    11. Condition Monitoring of Rotating Machines Using Vibration and Bearing Temperature Measurements

      • Adrian D. Nembhard, Jyoti K. Sinha, A. J. Pinkerton, K. Elbhbah
      Pages 159-169

    12. A Comparative Analysis of Detecting Bearing Fault, Using Infrared Thermography, Vibration Analysis and Air-Borne Sound

      • Nikolaos G. Athanasopoulos, Pantelis N. Botsaris
      Pages 171-181

    13. Monitoring Lathe Tool’s Wear Condition by Acoustic Emission Technology

      • Tobias Pinner, Hermann Sommer Obando, Georg Moeser, Wolfgang Burger
      Pages 183-193

  4. Modelling of Dynamics and Fault in Gear Systems

    1. Front Matter

      Pages 195-195
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    2. Joint Power-Speed Representation of Vibration Features. Application to Wind Turbine Planetary Gearbox

      • Jacek Urbanek, Marcin Strączkiewicz, Tomasz Barszcz
      Pages 197-205
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Keywords

About this book

This book presents the processing of the third edition of the Condition Monitoring of Machinery in Non-Stationary Operations (CMMNO13), which was held in Ferrara, Italy. This yearly event merges an international community of researchers who met – in 2011 in Wroclaw (Poland) and in 2012 in Hammamet (Tunisia) – to discuss issues of diagnostics of rotating machines operating in complex motion and/or load conditions. The growing interest of the industrial world on the topics covered by the CMMNO13 involves the fields of packaging, automotive, agricultural, mining, processing and wind machines in addition to that of the systems for data acquisition. The participation of speakers and visitors from industry makes the event an opportunity for immediate assessment of the potential applications of advanced methodologies for the signal analysis. Signals acquired from machines often contain contributions from several different components as well as noise. Therefore, the major challenge of condition monitoring is to point out the signal content that is related to the state of the monitored component particularly in non-stationary conditions.

Editors and Affiliations

  • Engineering Department, University of Ferrara, Ferrara, Italy

    Giorgio Dalpiaz, Gianluca D'Elia

  • Department of Science and Engineering Methods, University of Modena and Reggio Emilia, Reggio Emilia, Italy

    Riccardo Rubini, Marco Cocconcelli

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

    Fakher Chaari, Mohamed Haddar

  • Institute of Mining Engineering, Diagnostics and Vibro-Acoustics Science Laboratory, 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 third International Conference on Condition Monitoring of Machinery in Non-Stationary Operations CMMNO 2013

  • Editors: Giorgio Dalpiaz, Riccardo Rubini, Gianluca D'Elia, Marco Cocconcelli, Fakher Chaari, Radoslaw Zimroz, Walter Bartelmus, … Mohamed Haddar

  • Series Title: Lecture Notes in Mechanical Engineering

  • DOI: https://doi.org/10.1007/978-3-642-39348-8

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2014

  • Softcover ISBN: 978-3-642-39347-1Published: 15 October 2013

  • eBook ISBN: 978-3-642-39348-8Published: 05 October 2013

  • Series ISSN: 2195-4356

  • Series E-ISSN: 2195-4364

  • Edition Number: 1

  • Number of Pages: XIII, 709

  • Number of Illustrations: 133 b/w illustrations, 307 illustrations in colour

  • Topics: Machinery and Machine Elements, Engineering Design

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