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In this paper, a model-based integrated framework for diagnosis and prognosis of electrical machines is proposed. Since the fault progression, compared to the dynamics of the measured terminal quantities, can be considered as a slow process, it can be approximately modeled by the step changes of certain model-based parameters, representing fault severity levels. Diagnosis process can reliably detect...
A multiple indicator based fault detection and isolation (FDI) is proposed in this paper for inter-turn fault in induction machines. The key step is the derivation of two indicators from the sequence component model of the induction machine. One main challenge in inter-turn fault isolation is discriminating with voltage imbalance, which invariably exists in the system. The identification of the inter-turn...
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