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

ISBN: 978-3-642-39347-1 (Print) 978-3-642-39348-8 (Online)

Table of contents (60 chapters)

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  1. Front Matter

    Pages i-xiii

  2. Keynote Speeches

    1. Front Matter

      Pages 1-1

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      Pages 3-21

      Dynamical Behavior of Rotating Machinery in Non-Stationary Conditions: Simulation and Experimental Results

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      Pages 23-35

      Speed Transform, a New Time-Varying Frequency Analysis Technique

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      Pages 37-59

      SMART: Integrating Human Safety Risk Assessment with Asset Integrity

  3. Rolling Bearing Diagnostics

    1. Front Matter

      Pages 61-61

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      Pages 63-72

      Incipient Fault Detection in Bearings Through the use of WPT Energy and Neural Networks

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      Pages 73-80

      Bearing Fault Detection Using Beamforming Technique and Artificial Neural Networks

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      Pages 81-89

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

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      Pages 91-101

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

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      Pages 103-113

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

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      Pages 115-125

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

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      Pages 127-135

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

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      Pages 137-147

      Bearing Fault Identification using Watershed-Based Thresholding Method

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      Pages 149-157

      Envelope Cepstrum Based Method for Rolling Bearing Diagnostics

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      Pages 159-169

      Condition Monitoring of Rotating Machines Using Vibration and Bearing Temperature Measurements

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      Pages 171-181

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

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      Pages 183-193

      Monitoring Lathe Tool’s Wear Condition by Acoustic Emission Technology

  4. Modelling of Dynamics and Fault in Gear Systems

    1. Front Matter

      Pages 195-195

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      Book Chapter

      Pages 197-205

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

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      Pages 207-215

      Parallel Autoregressive Modeling as a Tool for Diagnosing Localized Gear Tooth Faults

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      Pages 217-224

      Modulation Sidebands of Planetary Gear Set

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      Pages 225-234

      A Novel Method of Gearbox Health Vibration Monitoring Using Empirical Mode Decomposition

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      Book Chapter

      Pages 235-247

      Artificial Immune Systems for Data Classification in Planetary Gearboxes Condition Monitoring

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