FAULT DIAGNOSIS FOR REDUNDANCY SENSITIVE ELEMENTS OF SINS BASED ON WAVELET TRANSFORM

Proposes a new approach of fault diagnosis for redundancy sensitive elements of strap-down inertial navigation system (SINS), based on wavelet transform. According to the time-frequency characteristics and signal edges detection of wavelet transform, the output signals of redundancy sensitive elements are decomposed in six layers by adopting db5 wavelet. Using the signals reconstructed from each layer's wavelet coefficients, the fault of redundancy sensitive elements can be diagnosed and located. Simulation results on redundancy sensitive elements show that this method not only can detect fault, fault type and occurring time, but also is sensitive to faults and robust to noise.