Bearing fault diagnosis under non-stationary conditions based on a speed signal resonance component demodulation algorithm Article Swipe
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· 2023
· Open Access
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· DOI: https://doi.org/10.1088/1361-6501/acfdbf
This paper proposes a novel bearing fault diagnosis indicator, the resonance component, for motor speed signals. The speed signal was modulated into a higher-frequency band using a double-inertia system, and the bearing fault information was carried and reserved in this high-frequency resonance component. Variational mode decomposition was then used to separate the components unrelated to the resonance based on the parameters optimized using the artificial bee colony algorithm. After envelope demodulation and angular resampling, the multipoint optimal minimum entropy deconvolution adjusted algorithm was utilized to enhance the amplitude of the order spectrum at the corresponding faulty order. Additionally, experiments were successfully conducted on both the outer and inner raceway bearing faults under time-varying conditions using the proposed method. The results indicate that the ordinary diagnosis method using the basic bearing fault characteristic frequency as an indicator is less effective.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1361-6501/acfdbf
- OA Status
- hybrid
- Cited By
- 3
- References
- 38
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387080689
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4387080689Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1088/1361-6501/acfdbfDigital Object Identifier
- Title
-
Bearing fault diagnosis under non-stationary conditions based on a speed signal resonance component demodulation algorithmWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-09-27Full publication date if available
- Authors
-
Ming Ye, Xiaojun Zhang, Jiaqiang YangList of authors in order
- Landing page
-
https://doi.org/10.1088/1361-6501/acfdbfPublisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1088/1361-6501/acfdbfDirect OA link when available
- Concepts
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Demodulation, Bearing (navigation), Fault (geology), Algorithm, Control theory (sociology), Inertia, Computer science, SIGNAL (programming language), Amplitude, Acoustics, Mathematics, Physics, Artificial intelligence, Optics, Telecommunications, Seismology, Geology, Control (management), Channel (broadcasting), Programming language, Classical mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 2Per-year citation counts (last 5 years)
- References (count)
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38Number of works referenced by this work
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-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.and | 30, 37, 72, 107 |
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| abstract_inverted_index.was | 20, 35, 47, 83 |
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| abstract_inverted_index.enhance | 86 |
| abstract_inverted_index.entropy | 79 |
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| abstract_inverted_index.optimal | 77 |
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| abstract_inverted_index.demodulation | 71 |
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| abstract_inverted_index.higher-frequency | 24 |
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| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.69800359 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |