Feature Extraction Method for Weak Faults Based on Time-Delayed Feedback Mixed Potential Stochastic Resonance
To extract weak faults under strong noise, a method for feature extraction of weak faults with time-delayed feedback mixed potential stochastic resonance (TFMSR) is proposed. This method not only overcomes the saturation characteristics of classical bistable stochastic resonance (CBSR), but also ver...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2020/4860736 |
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| _version_ | 1832568158198693888 |
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| author | Jiachen Tang Boqiang Shi Zhixing Li |
| author_facet | Jiachen Tang Boqiang Shi Zhixing Li |
| author_sort | Jiachen Tang |
| collection | DOAJ |
| description | To extract weak faults under strong noise, a method for feature extraction of weak faults with time-delayed feedback mixed potential stochastic resonance (TFMSR) is proposed. This method not only overcomes the saturation characteristics of classical bistable stochastic resonance (CBSR), but also verifies a new potential function model. Based on this model, considering the short memory characteristics of the CBSR method, a method is proposed that can add historical information to the negative feedback process of the stochastic resonance (SR). Through the combination of the above two methods, the weak fault extraction under strong background noise is realized. The article analyzes the effects of the delay term, feedback term, and system parameter on the effect of SR and uses the ant colony algorithm (ACA) to optimize the above parameters. Finally, through simulated and engineering experimental results, it is proved that the proposed method has more advantages than the CBSR method in weak fault feature extraction. |
| format | Article |
| id | doaj-art-945987a48c9a42b99503b7567bb41ccc |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-945987a48c9a42b99503b7567bb41ccc2025-02-03T00:59:42ZengWileyShock and Vibration1070-96221875-92032020-01-01202010.1155/2020/48607364860736Feature Extraction Method for Weak Faults Based on Time-Delayed Feedback Mixed Potential Stochastic ResonanceJiachen Tang0Boqiang Shi1Zhixing Li2Department of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaDepartment of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaDepartment of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaTo extract weak faults under strong noise, a method for feature extraction of weak faults with time-delayed feedback mixed potential stochastic resonance (TFMSR) is proposed. This method not only overcomes the saturation characteristics of classical bistable stochastic resonance (CBSR), but also verifies a new potential function model. Based on this model, considering the short memory characteristics of the CBSR method, a method is proposed that can add historical information to the negative feedback process of the stochastic resonance (SR). Through the combination of the above two methods, the weak fault extraction under strong background noise is realized. The article analyzes the effects of the delay term, feedback term, and system parameter on the effect of SR and uses the ant colony algorithm (ACA) to optimize the above parameters. Finally, through simulated and engineering experimental results, it is proved that the proposed method has more advantages than the CBSR method in weak fault feature extraction.http://dx.doi.org/10.1155/2020/4860736 |
| spellingShingle | Jiachen Tang Boqiang Shi Zhixing Li Feature Extraction Method for Weak Faults Based on Time-Delayed Feedback Mixed Potential Stochastic Resonance Shock and Vibration |
| title | Feature Extraction Method for Weak Faults Based on Time-Delayed Feedback Mixed Potential Stochastic Resonance |
| title_full | Feature Extraction Method for Weak Faults Based on Time-Delayed Feedback Mixed Potential Stochastic Resonance |
| title_fullStr | Feature Extraction Method for Weak Faults Based on Time-Delayed Feedback Mixed Potential Stochastic Resonance |
| title_full_unstemmed | Feature Extraction Method for Weak Faults Based on Time-Delayed Feedback Mixed Potential Stochastic Resonance |
| title_short | Feature Extraction Method for Weak Faults Based on Time-Delayed Feedback Mixed Potential Stochastic Resonance |
| title_sort | feature extraction method for weak faults based on time delayed feedback mixed potential stochastic resonance |
| url | http://dx.doi.org/10.1155/2020/4860736 |
| work_keys_str_mv | AT jiachentang featureextractionmethodforweakfaultsbasedontimedelayedfeedbackmixedpotentialstochasticresonance AT boqiangshi featureextractionmethodforweakfaultsbasedontimedelayedfeedbackmixedpotentialstochasticresonance AT zhixingli featureextractionmethodforweakfaultsbasedontimedelayedfeedbackmixedpotentialstochasticresonance |