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Cited by 88Machine Fault Diagnosis TechniquesFault Detection and Control SystemsGear and Bearing Dynamics Analysis

Automatic bearing fault diagnosis using particle swarm clustering and hidden Markov model

Yuwono, Mitchell, Qin, Yong, Zhou, Jing, Guo, Ying, Celler, Branko G., Su, Steven W.·2016·Engineering Applications of Artificial Intelligence
DOI 10.1016/j.engappai.2015.03.007
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Crossref · 10.1016/j.engappai.2015.03.007

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  • Hidden Markov models are considered as classifiers in health state recognition of bearings, synchronous motors, and hydraulic pumps.

    “Furthermore, the hidden Markov models are considered as classifiers in the health state recognition of bearings [291][292][293][294][295], the synchronous motors [296], and the hydraulic pumps [297].”

    From Applications of machine learning to machine fault diagnosis: A review and roadmap (2020) · cites this paper as [291]

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References 26 · Cited by 88

Authors
Yuwono, M., Qin, Y., Zhou, J., Guo, Y., Celler, B. G., & Su, S. W.
Affiliations
  • University of Technology Sydney (AU)
  • Beijing Jiaotong University (CN)
  • Commonwealth Scientific and Industrial Research Organisation (AU)
Corresponding author
Yuwono, Mitchell
ORCID
Venue
Engineering Applications of Artificial Intelligence
Publisher
Elsevier BV
Published
2016-01
Volume
47
Pages
88-100
ISSN
0952-1976 (ISSN-L)
DOI
10.1016/j.engappai.2015.03.007
OpenAlex
W2007201636
Cited by
88
References
26
Citations by year
2025: 8 · 2024: 4 · 2023: 6 · 2022: 8 · 2021: 10 · 2020: 13 · 2019: 11 · 2018: 6 · 2017: 12 · 2016: 5 · 2015: 5
FWCI
8.64
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Engineering Applications of Artificial Intelligence (publishedVersion)
  • UTS ePRESS (University of Technology Sydney) (submittedVersion)
Topics
  • Physical Sciences › Engineering › Control and Systems Engineering › Machine Fault Diagnosis Techniques
  • Physical Sciences › Engineering › Control and Systems Engineering › Fault Detection and Control Systems
  • Physical Sciences › Engineering › Mechanical Engineering › Gear and Bearing Dynamics Analysis
Keywords
bearing fault diagnosis, ball bearings, hidden Markov models, vibration signal analysis, rotating machinery

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