ENGLISH

Condition Monitoring Using Computational Intelligence Methods: Applications in Mechanical and Electrical Systems

By Tshilidzi Marwala (auth.)

Book information

Publisher
Springer-Verlag London
Year
2012
ISBN
1447123794, 9781447123798
DOI
10.1007/978-1-4471-2380-4
Google Books ID
THC9_no_bzAC
Language
english
Format
PDF
Filesize
3 MB (3184857 bytes)
Edition
1
Pages
236\252
Orientation
yes
Scanned
no
Time added
2012-03-09 12:00:00
Image and Speech Processing; Quality ControlMachinery and Machine Elements; Computational InteMaterials TreatmentReliabilitySafety and Risk; Operating Procedures

Description

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.

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