Abstract
Fault prewarning is important to guarantee the safe and stable operation of Generator Sets (GS). In order to generate prewarnings quickly and accurately before the failures or faults occur in GS, a real-time fault prewarning approach to GS based on dynamic threshold was put forward. This approach was consisted of five steps, that is operating condition (or abnormal event) synchronous, dynamic threshold selection, threshold analysis, fault detection and fault prewarning. The dynamic threshold (closely related to operating condition or abnormal event of GS) was the key of this approach, which can be obtained by means of expertise knowledge discovery. This approach can effectively reduce false positives and false negatives for the faults of GS, whose effectiveness is validated by the applications and practices of Gezhouba power plant.
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