Bayesian Fault Probability Estimation: Application in Wind Turbine Drivetrain Sensor Fault Detection

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Bayesian Fault Probability Estimation: Application in Wind Turbine Drivetrain Sensor Fault Detection

In this paper, the extension of the Bayesian framework for sensor fault detection of nonlinear systems proposed in [25] is studied utilizing particle filtering and the expectation maximization (EM) algorithm, in which the fault probability is calculated. The proposed algorithm is implemented on a wi...

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Bibliographic Details
Main Authors:	Habibi, Hamed, Howard, Ian, Habibi, R.
Format:	Journal Article
Published:	Chinese Automatic Control Society 2018
Online Access:	http://hdl.handle.net/20.500.11937/74497

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