Constrained independent component analysis and its application to machine fault diagnosis |
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Authors: | Zhiyang Wang Jin ChenGuangming Dong Yu Zhou |
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Affiliation: | State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, No.800, Dongchuan Rd., Shanghai 200240, PR China |
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Abstract: | For machine fault diagnosis the signals from working machine are always numerous, even uncountable, but there contains only a little useful information. Hence how to find out the useful signal from numerous signals, including noises, that is, how to only extract the desired fault signal is very attractive. This paper shows that the constrained independent component analysis (cICA) can solely extract desired faulty signal using some prior mechanical information. The methods of creating reference of cICA for machine diagnostics are discussed, and the effectiveness of the method is successfully verified by simulations and experiments. |
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Keywords: | Independent component analysis (ICA) Constrained independent component analysis (cICA) Blind source extraction (BSE) Machine fault diagnosis Machine diagnostics |
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