| 书目名称 | Condition Monitoring Using Computational Intelligence Methods |
| 副标题 | Applications in Mech |
| 编辑 | Tshilidzi Marwala |
| 视频video | http://file.papertrans.cn/236/235198/235198.mp4 |
| 概述 | Helps the practitioner prevent machine failure, improving safety and cutting costs.Shows the reader how computational intelligence can provide an efficacious alternative to traditional visual inspecti |
| 图书封面 |  |
| 描述 | .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. |
| 出版日期 | Book 2012 |
| 关键词 | Computational Intelligence; Condition Monitoring; Damage Detection; Fault Identification; Gaussian Mixtu |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4471-2380-4 |
| isbn_softcover | 978-1-4471-6134-9 |
| isbn_ebook | 978-1-4471-2380-4 |
| copyright | Springer-Verlag London Limited 2012 |
|Archiver|手机版|小黑屋|
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