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Fault Diagnosis System of Wavelet Packet and Hidden Markov Model Based on Optimal Test Point

JU Jian-bo;HU Sheng-lin;ZHU Chao;Navy Aeronautics and Astronautics University;  
By using wavelet packet transform and hidden Markov model,the fault diagnosis of airborne radio communication model was put forward. Through the establishment of the evaluation function,the optimal test set point was obtained. Using wavelet packet transform,we extracted the test point of energy eigenvalues for the input of the model,and the hidden markov model was trained using the history data,and we got the HMM parameters of each state,so as to realize the fault diagnosis of the radio by pattern recognition; Experimental results verified the feasibility and effectiveness of the proposed method.
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