Vibration Problems in Machines: Diagnosis and Resolution / Edition 1

Vibration Problems in Machines: Diagnosis and Resolution / Edition 1

by Arthur W. Lees
ISBN-10:
1138893838
ISBN-13:
9781138893832
Pub. Date:
07/26/2017
Publisher:
Taylor & Francis
ISBN-10:
1138893838
ISBN-13:
9781138893832
Pub. Date:
07/26/2017
Publisher:
Taylor & Francis
Vibration Problems in Machines: Diagnosis and Resolution / Edition 1

Vibration Problems in Machines: Diagnosis and Resolution / Edition 1

by Arthur W. Lees

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Overview

Vibration Problems in Machines: Diagnosis and Resolution explains how to infer information about the internal operations of rotating machines from external measurements. In doing so, the book examines the vibration signals arising under various fault conditions, such as rotor imbalance, misalignment, cracked rotors, gear wear, whirling instabilities, and other problems.

Covering a wide range of techniques required in the monitoring, analysis, and diagnosis of operational rotating machinery, this text:

  • Discusses topics ranging from the presentation of complex data to methods for reconciling model and plant data
  • Describes the physical basis of fault signals as well as the necessary signal and data processing techniques
  • Delivers fresh insight into misalignment phenomena and the future of smart machinery

Vibration Problems in Machines: Diagnosis and Resolution includes case studies with real plant data, MATLAB(R) scripts and functions for the modelling and analysis of rotating machines, end-of-chapter questions, and a solutions manual with qualifying course adoption. The book provides an invaluable resource for those seeking to optimize the use of complex and often apparently contradictory data.


Product Details

ISBN-13: 9781138893832
Publisher: Taylor & Francis
Publication date: 07/26/2017
Edition description: Reprint
Pages: 348
Product dimensions: 6.12(w) x 9.19(h) x (d)

About the Author

Professor Arthur W. Lees graduated in Physics and remained Manchester University for three years research. After completing his PhD , he joined the Central Electricity Generating Board, initially developing Finite Element codes then later resolving plant problems. After a sequence of positions he was appointed head of the Turbine Group for Nuclear Electric Plc. He moved to Swansea University in 1995 and has been active in both research and teaching. He is a regular reviewer of many technical journals and was, until his recent retirement, on the editorial boards of the Journal of Sound & Vibration and Communications on Numerical Methods in Engineering. His research interests include structural dynamics, rotor dynamics, inverse problems and heat transfer. Professor Lees is a Fellow of the Institution of Mechanical Engineers and a Fellow of the Institute of Physics, a Chartered Engineer and a Chartered Physicist. He was a member of Council of the Institute of Physics, 2001-5. He is now Professor Emeritus at Swansea University, but remains an active researcher.

Table of Contents

Introduction
Monitoring and Diagnosis
Mathematical Models
Machine Classification
Considerations for a Monitoring Scheme
Outline of the Text
Software
References

Data Presentation
Introduction
Presentation Formats
Comparison with Calculations
Detection and Diagnosis Process
Problems
References

Modelling and Analysis
Introduction
Need for Models
Modelling Approaches
Analysis Methods
Further Modelling Considerations
Summary
Problems
References

Faults in Machines – Part 1
Introduction
Definitions: Rigid and Flexible Rotors
Mass Imbalance
Rotor Bends
Concluding Remarks
Problems
References

Faults in Machines – Part 2
Introduction
Misalignment
Cracked Rotors
Torsion
Non-Linearity
Interactions and Diagnostics
Closing Remarks
Problems
References

Rotor–Stator Interaction
Introduction
Interaction through Bearings
Interaction via Working Fluid
Direct Stator Contact
The Morton Effect
Harmonics of Contact
Concluding Remarks
Problems
References

Machine Identification
Introduction
Current State of Modelling
Primary Components
Sources of Error/Uncertainty
Model Improvement
Application to Foundations
Imbalance Identification
Extension to Misalignment
Future Options
Problems
References

Some Further Analysis Methods
Standard Approaches
Artificial Neural Networks
Merging ANNs with Physics-Based Models
Kernel Density Estimation
Rapid Transients: Vold–Kalman Method
Useful Techniques
Concluding Remarks
Problems
References

Case Studies
Introduction
Crack in a Large Alternator Rotor
Workshop Modal Testing of a Cracked Rotor
Gearbox Problems on a Boiler Feed Pump
Vibration of Large Centrifugal Fans
Low-Pressure Turbine Instabilities
Concluding Remarks
Problems
References

Overview and Outlook
Progress in Instrumentation
Progress in Data Analysis and Handling
Progress in Modelling
Expert Systems
Future Prospects
Summary
References

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