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Characterization mechanism and location of bearing fault acoustic emission information combined with gate recurrent unit
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Tian SHEN1, Zong-yang LIU1, Hao LI1, Jing LIN1, Xiao-qin LIU2, Lin-jiang TANG2
Journal of Vibration Engineering | 2024, 37(8) : 1442 - 1450
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Journal of Vibration Engineering | 2024, 37(8): 1442-1450
Characterization mechanism and location of bearing fault acoustic emission information combined with gate recurrent unit
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Tian SHEN1, Zong-yang LIU1, Hao LI1, Jing LIN1, Xiao-qin LIU2, Lin-jiang TANG2
Affiliations
  • 1School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China
  • 2Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650550, China
Published: 2024-08-28 doi: 10.16385/j.cnki.issn.1004-4523.2024.08.018
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Large heavy-duty bearings have special working conditions. Under low speed conditions，the impact duration is prolonged，the system response amplitude is reduced，and the fault information is easier to be covered by noise. Acoustic emission technology has been widely used in the field of structural health monitoring and equipment condition detection because of its sensitivity to weak damage. The spatial localization method in acoustic emission technology can be used to accurately locate faults of large bearing with low speed and heavy load. The localization effect depends on the accurate arrival time of signals. The identification and accurate separation of each acoustic emission event is a major challenge at present. Gate recurrent unit network （GRU） can consider the internal in sequence data and extract temporal correlation features，which has certain advantages in signal processing. Akaike information criterion （AIC） can effectively identify two different stochastic processes. In this paper，an acoustic emission signal time of arrival picking method based on GRU and AIC is proposed. The results based on the lead and test data show that the proposed method has great potential in determining the large，heavy-duty，low-speed bearings acoustic emission signal arrival time by comparing with the traditional AIC，threshold discrimination and short term averaging/long term averaging.

fault diagnosis  /  bearing  /  acoustic emission  /  time of arrival picking  /  Akaike information criterion  /  gate recurrent unit
Tian SHEN, Zong-yang LIU, Hao LI, Jing LIN, Xiao-qin LIU, Lin-jiang TANG. Characterization mechanism and location of bearing fault acoustic emission information combined with gate recurrent unit[J]. Journal of Vibration Engineering, 2024 , 37 (8) : 1442 -1450 . DOI: 10.16385/j.cnki.issn.1004-4523.2024.08.018
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Year 2024 volume 37 Issue 8
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Article Info
doi: 10.16385/j.cnki.issn.1004-4523.2024.08.018
  • Receive Date：2022-10-18
  • Online Date：2026-02-12
  • Published：2024-08-28
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  • Received：2022-10-18
  • Revised：2022-12-15
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Affiliations
    1School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China
    2Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650550, China
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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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