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...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Chinese Automatic Control Society
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/74497 |