HMM-Based Method for Aircraft Environmental Control System Turbofan Rolling Bearing Fault Diagnosis
In response to the high-noise, nonlinear, and nonstationary characteristics of vibration signals from aircraft environmental control system (ECS) turbofan rolling bearings, this paper proposes a diagnostic method for the degree of ECS turbofan bearing faults based on the Hidden Markov Model (HMM). E...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2024/5582169 |
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| _version_ | 1850219606483927040 |
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| author | Gang Yang Yu Wang Dezhao Qin Rui Zhu Qingpeng Han |
| author_facet | Gang Yang Yu Wang Dezhao Qin Rui Zhu Qingpeng Han |
| author_sort | Gang Yang |
| collection | DOAJ |
| description | In response to the high-noise, nonlinear, and nonstationary characteristics of vibration signals from aircraft environmental control system (ECS) turbofan rolling bearings, this paper proposes a diagnostic method for the degree of ECS turbofan bearing faults based on the Hidden Markov Model (HMM). Experimental results demonstrate that HMM can accurately diagnose and predict faults in ECS turbofan rolling bearings. The HMM method enhances diagnostic accuracy, and its effectiveness and feasibility in fault diagnosis based on different rolling bearing fault instances are elaborated. By employing the HMM model to establish precise models from decomposed dynamic data, it successfully identifies faults such as the fracture of the bearing cage under biased load conditions, although its performance in recognizing overheating faults is suboptimal. |
| format | Article |
| id | doaj-art-7a0a91cd47e14831bb240b112c54d7d9 |
| institution | OA Journals |
| issn | 1875-9203 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-7a0a91cd47e14831bb240b112c54d7d92025-08-20T02:07:19ZengWileyShock and Vibration1875-92032024-01-01202410.1155/2024/5582169HMM-Based Method for Aircraft Environmental Control System Turbofan Rolling Bearing Fault DiagnosisGang Yang0Yu Wang1Dezhao Qin2Rui Zhu3Qingpeng Han4School of Energy and Mechanical EngineeringSchool of Energy and Mechanical EngineeringSchool of Energy and Mechanical EngineeringSchool of Energy and Mechanical EngineeringSchool of Energy and Mechanical EngineeringIn response to the high-noise, nonlinear, and nonstationary characteristics of vibration signals from aircraft environmental control system (ECS) turbofan rolling bearings, this paper proposes a diagnostic method for the degree of ECS turbofan bearing faults based on the Hidden Markov Model (HMM). Experimental results demonstrate that HMM can accurately diagnose and predict faults in ECS turbofan rolling bearings. The HMM method enhances diagnostic accuracy, and its effectiveness and feasibility in fault diagnosis based on different rolling bearing fault instances are elaborated. By employing the HMM model to establish precise models from decomposed dynamic data, it successfully identifies faults such as the fracture of the bearing cage under biased load conditions, although its performance in recognizing overheating faults is suboptimal.http://dx.doi.org/10.1155/2024/5582169 |
| spellingShingle | Gang Yang Yu Wang Dezhao Qin Rui Zhu Qingpeng Han HMM-Based Method for Aircraft Environmental Control System Turbofan Rolling Bearing Fault Diagnosis Shock and Vibration |
| title | HMM-Based Method for Aircraft Environmental Control System Turbofan Rolling Bearing Fault Diagnosis |
| title_full | HMM-Based Method for Aircraft Environmental Control System Turbofan Rolling Bearing Fault Diagnosis |
| title_fullStr | HMM-Based Method for Aircraft Environmental Control System Turbofan Rolling Bearing Fault Diagnosis |
| title_full_unstemmed | HMM-Based Method for Aircraft Environmental Control System Turbofan Rolling Bearing Fault Diagnosis |
| title_short | HMM-Based Method for Aircraft Environmental Control System Turbofan Rolling Bearing Fault Diagnosis |
| title_sort | hmm based method for aircraft environmental control system turbofan rolling bearing fault diagnosis |
| url | http://dx.doi.org/10.1155/2024/5582169 |
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