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Vibration-based condition monitoring : industrial, aerospace, and automotive applications / Robert Bond Randall
Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Chichester, West Sussex, U.K ; Hoboken, N.J : Wiley, 2011Edition: Online-AusgDescription: Online-Ressource (1 online resource (xvii, 289 p.)) : illISBN:- 1283100924
- 9780470977651
- 9781283100922
- 0470747854
- 621.8/11 22
- 621.811
- TA355
Contents:
Summary: "Without doubt the best modern and up-to-date text on the topic, wirtten by one of the world leading experts in the field. Should be on the desk of any practitioner or researcher involved in the field of Machine Condition Monitoring" Simon Braun, Israel Institute of Technology Explaining complex ideas in an easy to understand way, Vibration-based Condition Monitoring provides a comprehensive survey of the application of vibration analysis to the condition monitoring of machines. Reflecting the natural progression of these systems by presenting the fundamental material and then moving onto detection, diagnosis and prognosis, Randall presents classic and state-of-the-art research results that cover vibration signals from rotating and reciprocating machines; basic signal processing techniques; fault detection; diagnostic techniques, and prognostics. Developed out of notes for a course in machine condition monitoring given by Robert Bond Randall over ten years at the University of New South Wales, Vibration-based Condition Monitoring: Industrial, Aerospace and Automotive Applications is essential reading for graduate and postgraduate students/ researchers in machine condition monitoring and diagnostics as well as condition monitoring practitioners and machine manufacturers who want to include a machine monitoring service with their product. Includes a number of exercises for each chapter, many based on Matlab, to illustrate basic points as well as to facilitate the use of the book as a textbook for courses in the topic. Accompanied by a website www.wiley.com/go/randall housing exercises along with data sets and implementation code in Matlab for some of the methods as well as other pedagogical aids. Authored by an internationally recognised authority in the area of condition monitoring.Summary: Intro -- VIBRATION-BASED CONDITION MONITORING -- Contents -- Foreword -- About the Author -- Preface -- 1 Introduction and Background -- 1.1 Introduction -- 1.2 Maintenance Strategies -- 1.3 Condition Monitoring Methods -- 1.3.1 Vibration Analysis -- 1.3.2 Oil Analysis -- 1.3.3 Performance Analysis -- 1.3.4 Thermography -- 1.4 Types and Benefits of Vibration Analysis -- 1.4.1 Benefits Compared with Other Methods -- 1.4.2 Permanent vs Intermittent Monitoring -- 1.5 Vibration Transducers -- 1.5.1 Absolute vs Relative Vibration Measurement -- 1.5.2 Proximity Probes -- 1.5.3 Velocity Transducers -- 1.5.4 Accelerometers -- 1.5.5 Dual Vibration Probes -- 1.5.6 Laser Vibrometers -- 1.6 Torsional Vibration Transducers -- 1.6.1 Shaft encoders -- 1.6.2 Torsional Laser Vibrometers -- 1.7 Condition Monitoring - the Basic Problem -- References -- 2 Vibration Signals from Rotating and Reciprocating Machines -- 2.1 Signal Classification -- 2.1.1 Stationary Deterministic Signals -- 2.1.2 Stationary Random Signals -- 2.1.3 Cyclostationary signals -- 2.2 Signals Generated by Rotating Machines -- 2.2.1 Low Shaft Orders and Subharmonics -- 2.2.2 Vibrations from Gears -- 2.2.3 Rolling Element Bearings -- 2.2.4 Bladed Machines -- 2.2.5 Electrical Machines -- 2.3 Signals Generated by Reciprocating Machines -- 2.3.1 Time-Frequency Diagrams -- 2.3.2 Torsional Vibrations -- References -- 3 Basic Signal Processing Techniques -- 3.1 Probability Distribution and Density -- 3.2 Fourier Analysis -- 3.2.1 Fourier Series -- 3.2.2 Fourier Integral Transform -- 3.2.3 Sampled Time Signals -- 3.2.4 The Discrete Fourier Transform -- 3.2.5 The Fast Fourier Transform -- 3.2.6 Convolution and the Convolution Theorem -- 3.2.7 Zoom FFT -- 3.2.8 Practical FFT Analysis -- 3.3 Hilbert Transform and Demodulation -- 3.3.1 Hilbert Transform -- 3.3.2 Demodulation -- 3.4 Cepstrum Analysis.PPN: PPN: 809298635Package identifier: Produktsigel: ZDB-26-MYL | ZDB-30-PAD | ZDB-30-PQE
""Cover""; ""Title Page""; ""Copyright""; ""Dedication""; ""Foreword""; ""About the Author""; ""Preface""; ""Chapter 1: Introduction and Background""; ""1.1 Introduction""; ""1.2 Maintenance Strategies""; ""1.3 Condition Monitoring Methods""; ""1.4 Types and Benefits of Vibration Analysis""; ""1.5 Vibration Transducers""; ""1.6 Torsional Vibration Transducers""; ""1.7 Condition Monitoring â€" the Basic Problem""; ""Chapter 2: Vibration Signals from Rotating and Reciprocating Machines""; ""2.1 Signal Classification""; ""2.2 Signals Generated by Rotating Machines""
""2.3 Signals Generated by Reciprocating Machines""""Chapter 3: Basic Signal Processing Techniques""; ""3.1 Probability Distribution and Density""; ""3.2 Fourier Analysis""; ""3.3 Hilbert Transform and Demodulation""; ""3.4 Cepstrum Analysis""; ""3.5 Digital Filtering""; ""3.6 Deterministic/Random Signal Separation""; ""3.7 Timeâ€"Frequency Analysis""; ""3.8 Cyclostationary Analysis and Spectral Correlation""; ""Chapter 4: Fault Detection""; ""4.1 Introduction""; ""4.2 Rotating Machines""; ""4.3 Reciprocating Machines""; ""Chapter 5: Diagnostic Techniques""
""5.1 Harmonic and Sideband Cursors""""5.2 Minimum Entropy Deconvolution""; ""5.3 Spectral Kurtosis and the Kurtogram""; ""5.4 Gear Diagnostics""; ""5.5 Rolling Element Bearing Diagnostics""; ""5.6 Reciprocating Machine and IC Engine Diagnostics""; ""Chapter 6: Fault Trending and Prognostics""; ""6.1 Introduction""; ""6.2 Trend Analysis""; ""6.3 Determination of Spall Size in Bearings""; ""6.4 Advanced Prognostics""; ""Appendix""; ""Introduction""; ""A.1 Introduction and Background""; ""A.2 Vibration Signals from Machines""; ""A.3 Basic Signal Processing""; ""A.4 Fault Detection""
""A.5 Diagnostic Techniques""""A.6 Prognostics""; ""Index""
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