Bearing fault recognition method based on neighbourhood component analysis and coupled hidden Markov model
Neighbourhood component analysis (NCA) is used in dimensionality reduction and feature extraction. A multichannel information fusion method based on CHMM is used for bearing fault diagnosis. Rolling element bearing accelerated life test is performed to collect vibration data over whole life time. The advantages of proposed method over other methods are verified.
neighbourhood component analysis coupled hidden markov model dimensionality reduction information fusion multi-channel data acquisition