Profitable Condition Monitoring
Fluids and Machinery Performance Monitoring
Published on 1. January 1996
Book
Hardback
298 pages
978-1-86058-012-3 (ISBN)
Description
Well-managed programmes of condition monitoring (CM) are essential to the strategic planning of predictive maintenance. Opportunities are widening for the application of advanced CM and diagnostic techniques to new industries and operations which previously were difficult to justify. The effective operation of machinery and equipment in any process is paramount, and more emphasis is being put on the financial, environmental, and health benefits of condition monitoring in ensuring the reliable performance of operations. This volume presents papers presented at the 5th International Conference on Profitable Condition Monitoring, Fluids and Machinery Performance Monitoring. The areas covered include condition monitoring - industrial case studies, vibration and noise monitoring of machinery, condition monitoring of fluids systems, and neural networks in condition monitoring.
More details
Series
Language
English
Place of publication
Bury St Edmunds
United Kingdom
Publishing group
John Wiley and Sons Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
Ill.figs.
Dimensions
Height: 250 mm
Width: 200 mm
Weight
578 gr
ISBN-13
978-1-86058-012-3 (9781860580123)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Content
Profitable condition monitoring: ten years of condition monitoring - changes and causes, A.J. Doyle, A. Foster, I. Kennedy, A. Costin, B. Powis; the impact of information technology on condition monitoring, R. Hutton; beyond maintenance to value driven asset management, J.S. Mitchell; condition monitoring technology - a wise investment in excellence, B.K.N. Rao. Condition monitoring - industrial case studies: a monitoring system for mechanical seals, P. Lambert; main trends in design of on-line wear monitoring systems, N.K. Myshkin, L.V. Markova, M.S. Semenyuk, H. Kong; condition monitoring of a pair of industrial compressors, M.N.M Badi, S.N. Engin, M. Carvell; the role of artificial intelligence in the achievement of profitable condition monitoring, J. Bird; the practical application of the forgotten parameter ESPtm, T. Scott. Vibration and noise monitoring of machinery: applications of passive and active acoustic monitoring systems for pumping systems, N.C. Kerr; condition monitoring using acoustic signals, R.B.W. Heng, M.J. Mohd Nor; profitable condition monitoring of low speed rotating machinery sing stress waves, D.U. Mba, R.H. Bannister, J.T. Leslie, G.E. Findlay; vibration monitoring of slow speed machinery - new methodologies covering machinery from 0.5 to 600 RPM, J.C. Robinson, R.G. Canada, K.R. Piety. Condition monitoring of fluid systems: condition monitoring of fluid systems - the complete approach, M.J. Pall; pump performance monitoring, M.A. Yates; an alternative coding system defining the total and severity of wear, M.H. Jones, J. Alberich. Neural networks in condition monitoring: neural networks in condition monitoring - just another fad?, J. MacIntyre, P. Smith; defining novel faults in a neural network fault diagnostic system, K.F. Martin, M.H. Marzi; fault diagnosis in electro-hydraulic systems using neural networks, R.M. Atkinson, D.J. Woollons, S. Tasson, W.J. Crowther, C.R. Burrows, K.A. Edge; an intelligent multi-sensor tool wear monitoring system for unmanned machining environments, A.D. Hope, M.A. Javed, G. Littlefair, B.K.N. Rao.