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E-book
Author Lei, Yaguo, author.

Title Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery / Yaguo Lei
Published Oxford, United Kingdom : Elsevier, 2017

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Description 1 online resource
Contents Cover; Title page; Copyright page; Table of Contents; About the Author; Preface; 1 -- Introduction and background; 1.1 -- Introduction; 1.2 -- Overview of PHM; 1.2.1 -- Data Acquisition; 1.2.2 -- Signal Processing; 1.2.3 -- Diagnostics; 1.2.4 -- Prognostics; 1.2.5 -- Maintenance Decision; 1.3 -- Preface to Book Chapters; References; 2 -- Signal processing and feature extraction; 2.1 -- Introduction; 2.2 -- Signal Preprocessing; 2.2.1 -- Trend Removal; 2.2.2 -- Signal Filtering; 2.3 -- Signal Processing in the Time Domain; 2.3.1 -- Correlation Analysis; 2.3.1.1 -- Autocorrelation Analysis
2.3.1.2 -- Cross-Correlation Analysis2.3.2 -- Common Statistical Features in the Time Domain; 2.4 -- Signal Processing in the Frequency Domain; 2.4.1 -- Fourier Transform; 2.4.1.1 -- Fourier Series; 2.4.1.2 -- Fourier Integral Transform; 2.4.1.3 -- Discrete Fourier Transform; 2.4.1.4 -- Fast Fourier Transform; 2.4.2 -- Common Statistical Features in the Frequency Domain; 2.5 -- Signal Processing in the Time-Frequency Domain; 2.5.1 -- Short-Time Fourier Transform; 2.5.2 -- Wigner-Ville Distribution; 2.5.3 -- Wavelet Analysis; 2.5.3.1 -- Wavelet Transform; 2.5.3.2 -- Wavelet Basis and Fast Pyramidal Algorithm
2.5.3.3 -- Wavelet Packet Transform2.5.4 -- Hilbert-Huang Transform; 2.5.4.1 -- Empirical Mode Decomposition; 2.5.4.2 -- Ensemble Empirical Mode Decomposition; 2.5.4.3 -- Hilbert Transform; 2.5.5 -- Common Feature Extraction in the Time-Frequency Domain; 2.6 -- Conclusions; References; 3 -- Individual intelligent method-based fault diagnosis; 3.1 -- Introduction to Intelligent Diagnosis Methods; 3.2 -- Artificial Neural Networks; 3.2.1 -- Introduction to Artificial Neural Networks; 3.2.1.1 -- Architecture of Neural Networks; 3.2.1.2 -- Backpropagation Algorithm; 3.2.1.3 -- Speeding up the Backpropagation
3.2.1.4 -- Epilog3.2.2 -- Radial Basis Function Network-Based Fault Diagnosis; 3.2.2.1 -- Introduction; 3.2.2.2 -- Radial Basis Function Network; 3.2.2.3 -- Fault Diagnosis Method Based on RBF Network; 3.2.2.4 -- Intelligent Diagnosis of Bearing Faults: An Experimental Case Study; 3.2.2.5 -- Intelligent Diagnosis of Rub Faults: A Heavy Oil Catalytic Cracking Unit Case Study; 3.2.2.6 -- Epilog; 3.2.3 -- Wavelet Neural Network-Based Fault Diagnosis; 3.2.3.1 -- Introduction; 3.2.3.2 -- Wavelet Neural Network; 3.2.3.3 -- Sensitive IMF Selection and Feature Extraction
3.2.3.4 -- WNN-Based Fault Diagnosis Method3.2.3.5 -- Intelligent Diagnosis of the Compound Faults: A Bearing Case Study; 3.2.3.6 -- Epilog; 3.2.4 -- Adaptive Neuro-Fuzzy Inference System-Based Fault Diagnosis; 3.2.4.1 -- Introduction; 3.2.4.2 -- Adaptive Neuro-Fuzzy Inference System; 3.2.4.3 -- Diagnosis Method With Multisensor Data Fusion; 3.2.4.4 -- Intelligent Diagnosis of Gear Faults: A Planetary Gearbox Case Study; 3.2.4.5 -- Epilog; 3.3 -- Statistical Learning Theory; 3.3.1 -- Introduction to Statistical Learning Theory; 3.3.2 -- Support Vector Machine-Based Fault Diagnosis Method
3.3.2.1 -- Introduction
Bibliography Includes bibliographical references at the end of each chapters and index
Subject Electric machinery -- Rotors.
Fault location (Engineering)
Expert systems (Computer science)
TECHNOLOGY & ENGINEERING -- Mechanical.
Electric machinery -- Rotors
Expert systems (Computer science)
Fault location (Engineering)
Form Electronic book
ISBN 0128115351
9780128115350