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An optimal filter length selection method for MED based on autocorrelation energy and genetic algorithms.
- Source :
-
ISA transactions [ISA Trans] 2021 Mar; Vol. 109, pp. 269-287. Date of Electronic Publication: 2020 Oct 06. - Publication Year :
- 2021
-
Abstract
- This paper proposed a method for exact selecting the optimal filter length of minimal entropy deconvolution (MED) to solve it recovering a single random pulse when the filter length is not improper. The energy ratio of autocorrelation between the filtered signal and the residual signal is adopted to measure the salience of periodic impulses. Then this index is used as an objective function of genetic algorithms (GA) to form an adaptive optimal selection method of filter length. The proposed method is verified by two different rolling bearing fault experiments. The results show that the proposed method reveals the periodic impulses successfully from the casing signals. Compared with other MED-based methods, the proposed method has better performance in detecting the weak fault signal.<br />Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2020 ISA. Published by Elsevier Ltd. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1879-2022
- Volume :
- 109
- Database :
- MEDLINE
- Journal :
- ISA transactions
- Publication Type :
- Academic Journal
- Accession number :
- 33039164
- Full Text :
- https://doi.org/10.1016/j.isatra.2020.10.010