Journal
JOURNAL OF VIBRATION AND CONTROL
Volume 22, Issue 6, Pages 1682-1692Publisher
SAGE PUBLICATIONS LTD
DOI: 10.1177/1077546314544349
Keywords
Blind source separation; condition monitoring; independent component analysis; multi-sensor vibration acquisition; vibration source separation
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Funding
- Natural Sciences and Engineering Research Council of Canada (NSERC) [CRDPJ-335472-05]
- Pratt Whitney Canada
- BOMBARDIER Aeronautics
- National Research Council of Canada (NRC)
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In health monitoring of complex mechanical systems such as aircraft engines there are many components whose diagnosis is of great interest for the industry. A conventional way to monitor these components is to collect vibration signals using accelerometers placed in their closest vicinity. However, due to some restrictions such as inaccessibility, it is not always practical to place the accelerometers as such. In many cases, pre-installed instrumentations are used, which are usually inadequate and placed on the carcass of the structure. Nevertheless, even if the accelerometers are positioned very close to the components, they would collect signals not just from one specific component but from other components as well. In this study, we sought to employ frequency-based independent component analysis (ICA) to recover the signals produced by components within a single complex system. In such a case, differences between blind source separation and vibration source separation are discussed. A new workaround for the permutation ambiguity encountered in the implication of ICA is proposed. Finally, in order to demonstrate the applicability of the new proposed approach, experimental results carried out on a test bed are presented.
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