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Advances in Condition Monitoring of Machinery in Non-Stationary Operations

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Table of Contents

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    Book Overview
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    Chapter 1 Dynamical Behavior of Rotating Machinery in Non-Stationary Conditions: Simulation and Experimental Results
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    Chapter 2 Speed Transform, a New Time-Varying Frequency Analysis Technique
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    Chapter 3 SMART: Integrating Human Safety Risk Assessment with Asset Integrity
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    Chapter 4 Incipient Fault Detection in Bearings Through the use of WPT Energy and Neural Networks
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    Chapter 5 Bearing Fault Detection Using Beamforming Technique and Artificial Neural Networks
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    Chapter 6 HOS Analysis of Measured Vibration Data on Rotating Machines with Different Simulated Faults
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    Chapter 7 Signal Complexity and Gaussian Process Models Approach for Bearing Remaining Useful Life Estimation
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    Chapter 8 Estimating Rolling Element Bearing Stiffness Under Different Operational Conditions Through Modal Analysis
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    Chapter 9 Parametric Analysis Focused on Non-linear Forces in Oil-film Journal Bearings
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    Chapter 10 Advances in Condition Monitoring of Machinery in Non-Stationary Operations
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    Chapter 11 Bearing Fault Identification using Watershed-Based Thresholding Method
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    Chapter 12 Envelope Cepstrum Based Method for Rolling Bearing Diagnostics
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    Chapter 13 Condition Monitoring of Rotating Machines Using Vibration and Bearing Temperature Measurements
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    Chapter 14 A Comparative Analysis of Detecting Bearing Fault, Using Infrared Thermography, Vibration Analysis and Air-Borne Sound
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    Chapter 15 Monitoring Lathe Tool’s Wear Condition by Acoustic Emission Technology
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    Chapter 16 Joint Power-Speed Representation of Vibration Features. Application to Wind Turbine Planetary Gearbox
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    Chapter 17 Parallel Autoregressive Modeling as a Tool for Diagnosing Localized Gear Tooth Faults
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    Chapter 18 Modulation Sidebands of Planetary Gear Set
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    Chapter 19 A Novel Method of Gearbox Health Vibration Monitoring Using Empirical Mode Decomposition
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    Chapter 20 Artificial Immune Systems for Data Classification in Planetary Gearboxes Condition Monitoring
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    Chapter 21 Gearbox Condition Monitoring Procedures
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    Chapter 22 Vibration Monitoring of Winch Epicyclic Gearboxes Using Cyclostationarity and Autoregressive Signal Model
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    Chapter 23 Gear Parameter Identification in Wind Turbines Using Diagnostic Analysis of Gearbox Vibration Signals
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    Chapter 24 Phase Monitoring by ESPRIT with Sliding Window and Hilbert Transform for Early Detection of Gear Cracks
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    Chapter 25 Performance of Time Domain Indicators for Gear Tooth Root Crack Detection and Their Noise-Sensitivity
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    Chapter 26 Cepstral Removal of Periodic Spectral Components from Time Signals
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    Chapter 27 The Local Maxima Method for Enhancement of Time-Frequency Map
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    Chapter 28 Reconstruction of the Instantaneous Angular Speed Variations Caused by a Spall Defect on a Rolling Bearing Outer Ring Correlated with the Length of the Defect
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    Chapter 29 Instantaneous Angular Speed: Encoder-Counter Estimation Compared with Vibration Data
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    Chapter 30 Non-linear Geometric Approach to Friction Estimation and Compensation
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    Chapter 31 Empirical Mode Decomposition of Acoustic Emission for Early Detection of Bearing Defects
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    Chapter 32 Advances in Condition Monitoring of Machinery in Non-Stationary Operations
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    Chapter 33 Influence of Stopping Criterion for Sifting Process of Empirical Mode Decomposition (EMD) on Roller Bearing Fault Diagnosis
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    Chapter 34 On the use of Vibration Signal Analysis for Industrial Quality Control: Part I
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    Chapter 35 On the use of Vibration Signal Analysis for Industrial Quality Control: Part II
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    Chapter 36 Non-Clustering Method for Automatic Selection of Machine Operational States
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    Chapter 37 Simple Relations for Estimating the Unknown Functions of Incomplete Experimental Spectral and Correlation Response Matrices
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    Chapter 38 Condition Monitoring Under Non-Stationary Operating Conditions using Time–Frequency Representation-Based Dynamic Features
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    Chapter 39 Comparison of Torsional Vibration Measurement Techniques
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    Chapter 40 Numerical Investigations on the Accuracy of an Automated Modal Identification Technique
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    Chapter 41 The Principles of Operation and Equipment Design in Modelling of Separating-System Dynamics
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    Chapter 42 Test Bench for the Analysis of Dynamic Behavior of Planetary Gear Transmissions
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    Chapter 43 A Novel Gear Test Rig with Adjustable Shaft Compliance and Misalignments Part I: Design
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    Chapter 44 A Novel Gear Test Rig with Adjustable Shaft Compliance and Misalignments. Part II: Instrumentation
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    Chapter 45 A Distributed Control System for a Field of Spin-Elevation Heliostats
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    Chapter 46 Preliminary Investigations on Automatic Detection of Leaks in Water Distribution Networks by Means of Vibration Monitoring
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    Chapter 47 An Application of Statistical Tools in the Identification of the Transient Vibrations of Bucket-Wheel Excavators Under Random Loads
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    Chapter 48 Effectiveness of Advanced Vibration Processing Techniques for Fault Detection in Heavy Duty Wheels
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    Chapter 49 Chatter Marks and Vibration Analysis in a S6-High Cold Rolling Mill
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    Chapter 50 Advanced Testing of Heavy Duty Gearboxes in Non-Stationary Operational Conditions
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    Chapter 51 Spatial Acceleration Modulus for Rolling Elements Bearing Diagnostics
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    Chapter 52 Artificial Neural Networks-Based Decoupling Approach in the Vector Control Block of the Single-Phase Induction Machine
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    Chapter 53 Fault Identification on Electrical Machines Based on Experimental Analysis
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    Chapter 54 Fault Diagnosis in Induction Motor Using Motor’s Residual Stator Current Signature Analysis
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    Chapter 55 Advanced Data Mining Techniques for Power Performance Verification of an On-Shore Wind Farm
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    Chapter 56 Virtual Assessment of Damage Detection Techniques for Operational Wind Turbine
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    Chapter 57 Data-Driven Wind Turbine Power Generation Performance Assessment Using NI LabVIEW’s Watchdog® Agent Toolkit
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    Chapter 58 ART-2 Artificial Neural Networks Applications for Classification of Vibration Signals and Operational States of Wind Turbines for Intelligent Monitoring
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    Chapter 59 Software Applications for Wind Turbine Vibrations Analysis
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    Chapter 60 Experimental Characterization of Chatter in Band Sawing
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Title
Advances in Condition Monitoring of Machinery in Non-Stationary Operations
Published by
Springer Berlin Heidelberg, October 2013
DOI 10.1007/978-3-642-39348-8
ISBNs
978-3-64-239347-1, 978-3-64-239348-8
Editors

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

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
France 1 <1%
South Africa 1 <1%
Unknown 130 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 8%
Student > Ph. D. Student 7 5%
Researcher 6 5%
Student > Bachelor 4 3%
Professor 3 2%
Other 6 5%
Unknown 96 72%
Readers by discipline Count As %
Engineering 25 19%
Business, Management and Accounting 3 2%
Computer Science 2 2%
Social Sciences 1 <1%
Arts and Humanities 1 <1%
Other 2 2%
Unknown 99 74%