The application relates to the field of
avionics fault diagnosis, and discloses a multi-parameter intelligent diagnosis
algorithm for evaluating the quality of an aircraft power supply, which receives loop
voltage and current and
bus control
instruction data in parallel, constructs time-aligned heterogeneous data streams based on a
clock, and locks key load action events by using double trigger logic. By calculating equivalent Thevenin source impedance and constructing a
background noise model, the adaptive reference waveform is generated by correcting the load
standard model. The measured and reference waveforms are aligned by using
dynamic time warping, the deformation cost is output, and the
energy spectrum entropy is extracted by performing
wavelet packet
decomposition on the differential residual. The multi-dimensional
feature vector is constructed by comprehensively considering impedance drift, deformation cost and
energy spectrum entropy, and the mechanical fault, electrical contact degradation and line aging are decoupled by using hierarchical logic. The application effectively eliminates background interference and time
jitter, and realizes accurate evaluation of the state of the power supply
system.