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

eTEXT

Condition Monitoring Using Computational Intelligence Methods

Applications in Mechanical and Electrical Systems

By: Tshilidzi Marwala

eText | 25 January 2012

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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:

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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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You Can Find This eBook In

Non-FictionComputing & I.T.Computer ScienceArtificial IntelligenceEngineering & TechnologyElectronics & Communications EngineeringElectronics EngineeringMechanical Engineering & MaterialsProduction & Industrial EngineeringIndustrial Quality ControlIndustrial Chemistry & Manufacturing TechnologiesTechnology in General
Engineering in GeneralMechanical EngineeringEngines & Power TransmissionImage ProcessingSciencePhysicsCivil EngineeringBuilding Construction & MaterialsFire Protection & Safety

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Paperback

Published: 22nd February 2014

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