High-Performance Adaptive Weak Fault Diagnosis Based on the Global Parameter Optimization Model of a Cascaded Stochastic Resonance System Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.3390/s23094429
Stochastic resonance (SR), as a type of noise-assisted signal processing method, has been widely applied in weak signal detection and mechanical weak fault diagnosis. In order to further improve the weak signal detection performance of SR-based approaches and realize high-performance weak fault diagnosis, a global parameter optimization (GPO) model of a cascaded SR system is proposed in this work. The cascaded SR systems, which involve multiple multi-parameter-adjusting SR systems with both bistable and tri-stable potential functions, are first introduced. The fixed-parameter optimization (FPO) model and the GPO models of the cascaded systems to achieve optimal SR outputs are proposed based on the particle swarm optimization (PSO) algorithm. Simulated results show that the GPO model is capable of achieving a better SR output compared to the FPO model with rather good robustness and stability in detecting low signal-to-noise ratio (SNR) weak signals, and the tri-stable cascaded SR system has a better weak signal detection performance compared to the bistable cascaded SR system. Furthermore, the weak fault diagnosis approach based on the GPO model of the tri-stable cascaded system is proposed, and two rolling bearing weak fault diagnosis experiments are performed, thus verifying the effectiveness of the proposed approach in high-performance adaptive weak fault diagnosis.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/s23094429
- https://www.mdpi.com/1424-8220/23/9/4429/pdf?version=1682852847
- OA Status
- gold
- Cited By
- 8
- References
- 51
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4367624223
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https://openalex.org/W4367624223Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/s23094429Digital Object Identifier
- Title
-
High-Performance Adaptive Weak Fault Diagnosis Based on the Global Parameter Optimization Model of a Cascaded Stochastic Resonance SystemWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-04-30Full publication date if available
- Authors
-
Zhihui Lai, Zhangjun Huang, Xu Min, Chen Wang, Junchen Xu, Cailiang Zhang, Ronghua Zhu, Zijian QiaoList of authors in order
- Landing page
-
https://doi.org/10.3390/s23094429Publisher landing page
- PDF URL
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https://www.mdpi.com/1424-8220/23/9/4429/pdf?version=1682852847Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/1424-8220/23/9/4429/pdf?version=1682852847Direct OA link when available
- Concepts
-
Stochastic resonance, Robustness (evolution), Bistability, Control theory (sociology), Particle swarm optimization, Noise (video), SIGNAL (programming language), Fault (geology), Optimization problem, Computer science, Algorithm, Physics, Artificial intelligence, Chemistry, Biochemistry, Quantum mechanics, Geology, Image (mathematics), Programming language, Seismology, Control (management), GeneTop concepts (fields/topics) attached by OpenAlex
- Cited by
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8Total citation count in OpenAlex
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2025: 4, 2024: 3, 2023: 1Per-year citation counts (last 5 years)
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51Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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