Abstract
Early detection of aircraft hydraulic pump failures is critical for safety of flights. Hydraulic pump failures are usually indicated by increasing noise-to-signal ratio in the case drain flow. In this paper, we present a robust scheme for detecting and identifying pump failures using minor component analysis. First, a residual model is generated off-line using sensor data collected under normal system operation conditions. Then the residual generation model can be used on-line to process new sensor data and detect any abnormal pump behaviors. Moreover, a novel Cault identification algorithm is derived to estimate the Cault size after Cault detection, which could be very useful for component remaining life prediction and fault isolation.
Published Version
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