Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
559546 | Mechanical Systems and Signal Processing | 2011 | 12 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Zhiyang Wang, Jin Chen, Guangming Dong, Yu Zhou,