Gearbox fault diagnosis method based on bird flock algorithm and hidden Markov model

• Main Authors: WANG SHUAI, PAN ZHAOXU, DING CHAORAN, WANG ZHIJIE, LIU SANMING
• Format: Patent
• Language: Chinese; English
• Published: 29.05.2018
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS

The invention discloses a gearbox fault diagnosis method based on a bird flock algorithm and a hidden Markov model. The gearbox fault diagnosis method comprises four steps of: feature extraction, model parameter initialization, parameter training, and output probability calculation. The step (1) feature extraction is implemented by selecting a wavelet function for performing 3-layer wavelet packetdecomposition and reconstruction on vibration signals, and analyzing wavelet decomposition coefficient signals of each frequency band so as to realize the extraction of feature information of different fault states represented by the vibration signals from each frequency band respectively. The step (2) model parameter initialization is implemented by taking frequency band energy of the vibrationsignals as eigenvectors for modeling. The step (3) parameter training is implemented by adopting the bird flock algorithm for re-estimation according to the parameters initialized in the second step.The steps (4) output probab