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Item Details
| Title:
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CONDITION MONITORING USING COMPUTATIONAL INTELLIGENCE METHODS
APPLICATIONS IN MECHANICAL AND ELECTRICAL SYSTEMS |
| By: |
Tshilidzi Marwala |
| Format: |
Hardback |
| List price:
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£119.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
1447123794 |
| ISBN 13: |
9781447123798 |
| Publisher: |
SPRINGER LONDON LTD |
| Pub. date: |
23 January, 2012 |
| Edition: |
2012 ed. |
| Pages: |
236 |
| Description: |
This book shows how condition monitoring can be used to help avoid equipment failure and lengthen useful life, minimize downtime and reduce maintenance costs. Covers the uses of such techniques as principal component analysis, and much more. |
| Synopsis: |
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. |
| Illustrations: |
19 Tables, black and white; XVI, 236 p. |
| Publication: |
UK |
| Imprint: |
Springer London Ltd |
| Returns: |
Returnable |
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