Gear Health Monitoring and RUL Prediction Based on MSB Analysis Article Swipe
Yaoyao Han
,
Minmin Xu
,
Xiuquan Sun
,
Xiaoxi Ding
,
Xiaohong Chen
,
Fengshou Gu
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/jsen.2022.3145194
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/jsen.2022.3145194
Gearbox is a key component in mechanical transmission and faults on gears will lead to breakdowns and unscheduled downtime. Health condition monitoring and remaining useful life (RUL) prediction can provide sufficient leading time for gearbox timely maintenance. To some degree, the RUL prediction accuracy relies on the performance of the diagnostic features on reflecting the degradation of gears during its lifetime. However, most current commonly used features fail to reveal the fault mechanism hidden behind vibration signal and hold poor capability on noise cancellation. In this paper, modulation signal bispectrum (MSB) is proposed to reveal the signal modulation mechanism and monitor the health condition of gears. Then, an improved relevance vector machine (IMRVM) is introduced to realize the process of RUL prediction. Last, a run-to-failure test rig is designed to verify the effectiveness the MSB features for RUL prediction. Results show that MSB possesses better performance on denoising and capturing the weak variation due to modulation in gear system. The optimal MSB features after selection show better performance on reflecting the degradation of the gear and have higher prediction accuracy for gear RUL prediction comparing with RMS, kurtosis and so on. These findings provided more useful and practical information for gear RUL prediction and gearbox maintenance.
Related Topics
Concepts
Downtime
Bispectrum
Engineering
SIGNAL (programming language)
Condition monitoring
Kurtosis
Prognostics
Noise (video)
Vibration
Modulation (music)
Process (computing)
Fault (geology)
Reliability engineering
Support vector machine
Computer science
Automotive engineering
Artificial intelligence
Geology
Seismology
Quantum mechanics
Mathematics
Programming language
Spectral density
Telecommunications
Physics
Electrical engineering
Aesthetics
Statistics
Philosophy
Image (mathematics)
Operating system
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/jsen.2022.3145194
- OA Status
- green
- Cited By
- 26
- References
- 29
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4206834892
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4206834892Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/jsen.2022.3145194Digital Object Identifier
- Title
-
Gear Health Monitoring and RUL Prediction Based on MSB AnalysisWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-01-20Full publication date if available
- Authors
-
Yaoyao Han, Minmin Xu, Xiuquan Sun, Xiaoxi Ding, Xiaohong Chen, Fengshou GuList of authors in order
- Landing page
-
https://doi.org/10.1109/jsen.2022.3145194Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.scopus.com/inward/record.url?scp=85123687848&partnerID=8YFLogxKDirect OA link when available
- Concepts
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Downtime, Bispectrum, Engineering, SIGNAL (programming language), Condition monitoring, Kurtosis, Prognostics, Noise (video), Vibration, Modulation (music), Process (computing), Fault (geology), Reliability engineering, Support vector machine, Computer science, Automotive engineering, Artificial intelligence, Geology, Seismology, Quantum mechanics, Mathematics, Programming language, Spectral density, Telecommunications, Physics, Electrical engineering, Aesthetics, Statistics, Philosophy, Image (mathematics), Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
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26Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 8, 2024: 12, 2023: 3, 2022: 3Per-year citation counts (last 5 years)
- References (count)
-
29Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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