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Interturn fault and condition identification in BLSG using multiple indicator approach

A multiple indicator based fault diagnosis and condition identification has been proposed in this work suitable for brushless synchronous generators (BLSG). One of the important challenges in BLSG interturn fault diagnosis is to identify whether the load imbalance exists alongwith the fault. The multiple indicator approach proposed in this work, is found to be useful, especially at incipient stages of fault development. The fault indicators are derived from the analytic fault model of the BLSG, and the technique is found to work well for complex conditions when fault and load imbalances occur together. The results show the applicability of the method to accommodate varying operating conditions of the machine as well as different imbalances in load.