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Mode component energy feature-empowered unsupervised fault localization for gear transmission systems
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Zhihao BI1, Jintao YAO1, Qingbo HE1, Zhike PENG1, 2
Journal of Vibration Engineering | 2025, 38(6) : 1344 - 1353
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Journal of Vibration Engineering | 2025, 38(6): 1344-1353
Mode component energy feature-empowered unsupervised fault localization for gear transmission systems
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Zhihao BI1, Jintao YAO1, Qingbo HE1, Zhike PENG1, 2
Affiliations
  • 1.State Key Laboratory of Mechanical Systems and Vibration,Shanghai Jiao Tong University,Shanghai 200240,China
  • 2.School of Mechanical Engineering,Ningxia University,Yinchuan 750021,China
Published: 2025-06-10 doi: 10.16385/j.cnki.issn.1004-4523.2025.06.023
Outline
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Gear transmission systems are critical for power delivery in major equipment, yet they are susceptible to diverse and unpredictable to diverse and unpredictable faults, compromising operational safety and service reliability. In practical engineering applications, the absence of fault samples and unknown fault locations pose significant challenges. To address these issues, this paper proposes an unsupervised hypersphere-based fault localization (UHFL) method empowered by mode component energy features. This method extracts mode component energy features that are not only related to the fault mechanisms of transmission components but also possess clear fault localization interpretability. These features then enable both unsupervised anomaly detection and interpretable fault localization. Specifically, an unsupervised data description model is constructed using the proposed features. An attribution explanation method is introduced to quantify the contribution of each feature to the anomaly detection result, thereby achieving interpretable fault localization of gear transmission system components under conditions lacking fault samples. The proposed method is validated through single-fault and compound-fault localization experiments conducted on a helicopter main reducer planetary stage test bench and an armored vehicle transmission system test bench. Experimental results demonstrate that the proposed UHFL method can accurately localize faults in transmission components without requiring any fault sample training. This method offers an effective solution for fault localization in gear transmission systems under data-scarce conditions, showcasing valuable engineering promotion potential and application prospects.

fault localization  /  gear transmission system  /  feature extraction  /  attribution analysis
Zhihao BI, Jintao YAO, Qingbo HE, Zhike PENG. Mode component energy feature-empowered unsupervised fault localization for gear transmission systems[J]. Journal of Vibration Engineering, 2025 , 38 (6) : 1344 -1353 . DOI: 10.16385/j.cnki.issn.1004-4523.2025.06.023
Year 2025 volume 38 Issue 6
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Article Info
doi: 10.16385/j.cnki.issn.1004-4523.2025.06.023
  • Receive Date:2025-04-27
  • Online Date:2026-02-12
  • Published:2025-06-10
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  • Received:2025-04-27
  • Revised:2025-05-25
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Affiliations
    1.State Key Laboratory of Mechanical Systems and Vibration,Shanghai Jiao Tong University,Shanghai 200240,China
    2.School of Mechanical Engineering,Ningxia University,Yinchuan 750021,China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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