Overview
- Heavily supported with examples drawn from real industrial plant – the methods in this book have been shown to work
- Provides the practising engineer with methods that will maximise profit and safety while minimising down-time and repair
- Points out to the student things that commonly go wrong with fluid power systems and tested ways of avoiding them
- Comprehensive guide to condition monitoring of fluid power systems giving sound practical advice as well as necessary theory
- Includes supplementary material: sn.pub/extras
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Table of contents (4 chapters)
Keywords
About this book
Modelling, Monitoring and Diagnostic Techniques for Fluid Power Systems covers the background theory of fluid power and indicates the range of concepts needed for a modern approach to condition monitoring and fault diagnosis. The theory is leavened by 15-years-worth of practical measurements by the author, working with major fluid power companies, and real industrial case studies.
This comprehensive reference gives the first integrated exposition of the fluid power applications of many of the techniques it describes: time-encoded signal processing; artificial neural networks and expert systems among others. Advantages and limitations of the paths are presented reminding the reader to consider the gamut of methods leading to positive decision-making regarding fault diagnosis. Four parts combine to produce an all-embracing whole:
• an introduction to component behaviour;
• a guide to the modelling methods employed for circuit analysis;
• methods of condition monitoring;
• common faults and breakdowns.
Authors and Affiliations
About the author
Professor Watton started his career in industry as a Senior Systems Engineer working on the electrohydraulic control and steering dynamics of automated pipe-laying machines. Following a period at Huddersfield University, he returned to Cardiff as a Lecturer in Mechanical Engineering in 1979.
Since 1969, research work has been continually directed towards fluid power control and, latterly, condition monitoring. He gained his D.Sc. in 1996 and in 1999 was awarded the IMechE Bramah Medal for "outstanding research contributions to fluid power". Professor Watton is a Chartered Engineer and a Fellow of the Institution of Mechanical Engineers.
Professor Watton has taken a broad approach to the study of fluid power control, covering topics such as component design, systems simulation and CAD, fluid mechanics and the application of LDA/CFD techniques, control techniques, condition monitoring and dault diagnosis, the applications AI to modelling/adaptive control/fault classification, special applications such as high-water-content systems. He has been involved as co-designer on two novel mobile machines for general loader/agricultural/forestry applications, and the Soil Nailing machine for civil engineering applications; both machines are in commercial operation. The work on condition monitoring and fault diagnosis and, in particular, the application of on-line computer-based techniques has led to pioneering applications in the steel processing industry. He has published over 160 papers and 3 books and ahs supervised many M.Sc. and Ph.D. students over the past 20 years, including Eng.D. students with Corus plc since 1992. He does consultancy work with fluid power companies and has been active as an expert witness for several international companies over the past 10 years. Professor Watton teaches control theory, condition monitoring, fluid power, vibrations and dynamics at undergraduate level.
Bibliographic Information
Book Title: Modelling, Monitoring and Diagnostic Techniques for Fluid Power Systems
Authors: John Watton
DOI: https://doi.org/10.1007/978-1-84628-374-1
Publisher: Springer London
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag London 2007
Hardcover ISBN: 978-1-84628-373-4Published: 15 February 2007
Softcover ISBN: 978-1-84996-591-0Published: 13 October 2010
eBook ISBN: 978-1-84628-374-1Published: 24 March 2007
Edition Number: 1
Number of Pages: XIV, 360
Number of Illustrations: 268 b/w illustrations
Topics: Machinery and Machine Elements, Control, Robotics, Mechatronics, Manufacturing, Machines, Tools, Processes, Engineering Fluid Dynamics, Mechanical Engineering, Artificial Intelligence