Gearbox fault diagnosis via generalized velocity synchronous Fourier transform and order analysis Article Swipe
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· 2018
· Open Access
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· DOI: https://doi.org/10.1139/tcsme-2018-0098
Gearboxes have essential roles in many types of industrial equipment. Fault detection for gearboxes is important yet extremely difficult because volatile working conditions lead to nonstationary vibration signals. Order tracking is a classic and effective technique for nonstationary vibration analysis and fault diagnosis of rotating machinery. Many order tracking methods that do not require a tachometer have been proposed, such as methods based on re-sampling. However, most are complex and often introduce interpolation errors. To avoid such difficulties, a simple yet effective method is proposed in this paper. This method employs the generalized demodulation approach to extract a component with a frequency proportional to the instantaneous shaft rotational frequency from the vibration signal. Then, demodulating the extracted component recovers the instantaneous shaft rotational phase. With such information the order spectrum can be directly obtained via a velocity synchronous discrete Fourier transform. Finally, the fault can be diagnosed by order spectrum analysis. The effectiveness of this method is validated with both simulated and lab experimental vibration signals of a gearbox under time-varying rotational speed conditions.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1139/tcsme-2018-0098
- OA Status
- green
- Cited By
- 7
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2889809943
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2889809943Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1139/tcsme-2018-0098Digital Object Identifier
- Title
-
Gearbox fault diagnosis via generalized velocity synchronous Fourier transform and order analysisWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-09-12Full publication date if available
- Authors
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Yunpeng Guan, Juanjuan Shi, Ming Liang, D. NecsulescuList of authors in order
- Landing page
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https://doi.org/10.1139/tcsme-2018-0098Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://utoronto.scholaris.ca/bitstreams/d94bcdb1-b7a7-4fb6-b103-da8234551e6f/downloadDirect OA link when available
- Concepts
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Tachometer, Control theory (sociology), Vibration, Fault (geology), SIGNAL (programming language), Instantaneous phase, Fourier transform, Discrete Fourier transform (general), Computer science, Interpolation (computer graphics), Fast Fourier transform, Rotational speed, Demodulation, Sampling (signal processing), Short-time Fourier transform, Algorithm, Engineering, Acoustics, Mathematics, Fourier analysis, Artificial intelligence, Filter (signal processing), Computer vision, Detector, Physics, Mathematical analysis, Telecommunications, Programming language, Control (management), Motion (physics), Geology, Channel (broadcasting), Seismology, Mechanical engineering, Computer networkTop concepts (fields/topics) attached by OpenAlex
- Cited by
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7Total citation count in OpenAlex
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2025: 1, 2024: 2, 2021: 2, 2020: 1, 2018: 1Per-year citation counts (last 5 years)
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23Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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