Journal of Systems Engineering and Electronics ›› 2013, Vol. 35 ›› Issue (1): 161-167.doi: 10.3969/j.issn.1001-506X.2013.01.27

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Real time fault diagnosis approach based on lifting wavelet and recursive incremental clustering

ANG Qing1,2，TANG Jian-qiao1，LIU Chang1，LIU Nian1   

  1. 1. School of Information Science and Engineering，Shenyang Ligong University, Shenyang 110159, China; 2. College of Optical and Electronical Engineering，Changchun University of Science and Technology，Changchun 130022, China
  • Online:2013-01-23 Published:2010-01-03

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Abstract:

An ensemble realtime fault diagnosis method based on lifting wavelet (LW) and recursive incremental clustering（RICLUSTER）, called LW-RICLUSTER, is proposed to realize realtime monitoring for complex time varying industrial processes. Firstly, data are denoised by LW transform in real time, then RICLUSTER is used for realtime monitoring. With the ensemble approach, storage space is saved and computing time is shortened, while the precision of diagnostic is increased. Experiment results show that the LW -RICLUSTER algorithm can monitor timevarying process. The LW-RICLUSTER is superior to the traditional single CLUSTER in diagnosis precision, rate and adaptability.

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