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The fault detection is achieved using a functional observer based fault indicator that asymptotically converges to a fault indicator that can be derived based on the nominal system.
Safety factor is considered through the fault indicator at the beginning and end of the operation.
Hence, a fault indicator used to detect tooth damage may not be effective for monitoring shaft condition.
The power of the migratory poles was an alternative perfect classifier, which can be used as a fault indicator.
The asymptotic value of the proposed fault indicator is independent of the functional observer parameters and also the convergence rate of the fault indicator can be altered by choosing appropriate functional observer parameters.
An EKF observer has proven to be an excellent mathematical tool for the fault indicator in the variable speed drive.
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The first is fault indicators generation and the second is indicators analysis for fault diagnosis.
The fault indicators are generated in the presence of parameter uncertainties.
Two distinct sets of fault indicators are determined, one for fault detection, he other one for fault isolation.
Two distinct sets of fault indicators are determined, one for fault detection, the other one for fault isolation.
Model-based fault detection and isolation (FDI) requires an analytical system model from which fault indicators can be derived by assigning proper computational causalities.
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