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dc.contributor.authorKannan, Vigneshwar
dc.contributor.authorLi, Huaizhong
dc.contributor.authorDao, Dzung Viet
dc.date.accessioned2019-12-03T01:52:34Z
dc.date.available2019-12-03T01:52:34Z
dc.date.issued2019
dc.identifier.issn2169-3536en_US
dc.identifier.doi10.1109/access.2019.2954704en_US
dc.identifier.urihttp://hdl.handle.net/10072/389464
dc.description.abstractEnvelope analysis is a commonly used technique in fault diagnosis of rolling element bearings. The selection of a suitable frequency band for demodulation in envelope analysis has traditionally relied on the expertise of diagnosis technicians. The manual selection does not always give the best possible results in revealing the defect frequencies. To overcome this problem, a new demodulation band optimization approach is proposed which is based on a real-coded genetic algorithm with a novel fitness function and crossover selection process. The fitness function uses the ratio between fault frequency peaks and the maximum peak not corresponding to defects in the envelope spectrum. The crossover selection process uses the triangle series method to divide the probability of individuals in the population based on the fitness score obtained. The proposed method is assessed using vibration signals from two different rotor-bearing systems, i.e., a bearing testrig with seeded defects and the Case Western Reserve University bearing dataset. For all the cases, the method can find the optimized demodulation bands successfully for bearing fault detection. The method is further benchmarked with a well-established fast kurtogram approach which proves the effectiveness and superior capability of the developed algorithm, though the computational complexity needs improvement in future work.en_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofpagefrom168828en_US
dc.relation.ispartofpageto168838en_US
dc.relation.ispartofjournalIEEE Accessen_US
dc.relation.ispartofvolume7en_US
dc.titleDemodulation Band Optimization in Envelope Analysis for Fault Diagnosis of Rolling Element Bearings Using a Real-Coded Genetic Algorithmen_US
dc.typeJournal articleen_US
dcterms.bibliographicCitationKannan, V; Li, H; Dao, DV, Demodulation Band Optimization in Envelope Analysis for Fault Diagnosis of Rolling Element Bearings Using a Real-Coded Genetic Algorithm, IEEE Access, 2019, 7, pp. 168828-168838en_US
dcterms.licensehttp://creativecommons.org/licenses/by/4.0/en_US
dc.date.updated2019-11-29T05:04:20Z
dc.description.versionPublisheden_US
gro.rights.copyright© The Author(s) 2019. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
gro.hasfulltextFull Text
gro.griffith.authorLi, Huaizhong
gro.griffith.authorDao, Dzung V.


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