Condition Monitoring Using Computational Intelligence Methods - Applications in Mechanical and Electrical Systems (Hardcover, 2012 ed.)

Condition Monitoring Using Computational Intelligence Methods promotes the various approaches gathered under the umbrella of computational intelligence to show how condition monitoring can be used to avoid equipment failures and lengthen its useful life, minimize downtime and reduce maintenance costs. The text introduces various signal-processing and pre-processing techniques, wavelets and principal component analysis, for example, together with their uses in condition monitoring and details the development of effective feature extraction techniques classified into frequency-, time-frequency- and time-domain analysis. Data generated by these techniques can then be used for condition classification employing tools such as: * fuzzy systems; rough and neuro-rough sets; neural and Bayesian networks;hidden Markov and Gaussian mixture models; and support vector machines.

General

Imprint:	Springer London
Country of origin:	United Kingdom
Release date:	2012
First published:	2012
Authors:	Tshilidzi Marwala
Dimensions:	235 x 155 x 17mm (L x W x T)
Format:	Hardcover
Pages:	236
Edition:	2012 ed.
ISBN-13:	978-1-4471-2379-8
Categories:	Books > Professional & Technical > Mechanical engineering & materials > Production engineering > Reliability engineering Books > Professional & Technical > Mechanical engineering & materials > Engineering skills & trades > Welding Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Mechanical engineering & materials > Mechanical engineering > Engines & power transmission > General Promotions
LSN:	1-4471-2379-4
Barcode:	9781447123798

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