Fault Detection and Identification in Aircraft Hydraulic Pumps Using MCA

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.