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Machinery Vibration Analysis
Introduction
This practical book provides a detailed examination of the detection, location and diagnosis of faults in rotating and reciprocating machinery using vibration analysis. The basics and underlying physics of vibration signals are first examined. The acquisition and processing of signals are then reviewed followed by a discussion of machinery fault diagnosis using vibration analysis. Hereafter the important issue of rectifying faults that have been identified using vibration analysis is covered. The book is concluded by a review of the other techniques of predictive maintenance such as oil and particle analysis, ultrasound and infrared thermography. The latest approaches and equipment used together with current research techniques in vibration analysis are also highlighted in the text.
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We would hope that you will gain the following from this book:
• An understanding of the basics of vibration measurement
• The basics of signal analysis
• Understanding the measurement procedures and the characteristics of vibration signals
• Ability to use Data Acquisition equipment for vibration signals
• How to apply vibration analysis for different machinery faults
• How to apply specific techniques for pumps, compressors, engines, turbines and motors
• How to apply vibration based fault detection and diagnostic techniques
• The ability to diagnose simple machinery related problems with vibration analysis techniques
• How to apply advanced signal processing techniques and tools to vibration analysis
• How to detect, locate and diagnose faults in rotating and reciprocating machinery using vibration analysis techniques
• Ability to identify conditions of resonance and be able to rectify these problems
• How to apply basic allied predictive techniques such as oil analysis, thermography, ultrasonics and performance evaluation.
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Table Of Contents
Predictive maintenance techniques:
Part 1 Predictive maintenance basics
1.1 Maintenance philosophies
1.2 Evolution of maintenance philosophies
1.3 Plant machinery classification and recommendations
1.4 Principles of predictive maintenance
1.5 Predictive maintenance techniques
1.6 Vibration analysis – a key predictive maintenance technique
Part 2 Vibration basics
2.1 Spring-mass system: mass, stiffness, damping
2.2 System response
2.3 What is vibration?
2.4 The nature of vibration
2.5 Harmonics
2.6 Limits and standards of vibration
3 Data acquisition
3.1 Introduction
3.2 Collection of vibration signal – vibration transducers,
characteristics and mountings
3.3 Conversion of vibrations to electrical signal
3.4 Conclusion
4 Signal processing, applications and representations
4.1 The fast Fourier transform (FFT) analysis
4.2 Time waveform analysis
4.3 Phase signal analysis
4.4 Special signal processes
4.5 Conclusion
5 Machinery fault diagnosis using vibration analysis
5.1 Introduction
5.2 Commonly witnessed machinery faults diagnosed by vibration analysis
6 Correcting faults that cause vibration
6.1 Introduction
6.2 Balancing
6.3 Alignment
6.4 Resonance vibration control with dynamic absorbers
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Machinery Vibration Analysis
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