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Vibration identification of diesel engine transmission system based on adaptive feature extraction
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Qidi Zhou1, Yanrong Wang1, 2, Zhipeng Li1, Chunguang Xu1, Zhongwei Zhang1, Yuting Liu1
Transactions of CSICE | 2025, 43(2) : 183 - 191
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Transactions of CSICE | 2025, 43(2): 183-191
Vibration identification of diesel engine transmission system based on adaptive feature extraction
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Qidi Zhou1, Yanrong Wang1, 2, Zhipeng Li1, Chunguang Xu1, Zhongwei Zhang1, Yuting Liu1
Affiliations
  • 1.China North Engine Research Institute,Tianjin 300400,China
  • 2.School of Mechanical Engineering,Beijing Institute of Technology,Beijing 100081,China
Published: 2025-03-25 doi: 10.16236/j.cnki.nrjxb.202502022
Outline
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The vibration signal characteristics of diesel engine transmission system have strong complexity and interference, accurate signal feature extraction is the key to diesel engine vibration identification. In response to the problem of insufficient adaptability of the variational mode extraction(VME) method in processing diesel engine vibration signals, an adaptive VME(AVME) method was proposed with the constraint of the correlation between the reconstructed decomposed signal and the original signal, and the fourth order cumulant was regarded as the judgment index for VME optimization. The accuracy and robustness of AVME were verified by constructing simulated signals. The vibration signal of a diesel engine was adaptively decomposed using the AVME method. It is found that the vibration source of the transmission system is the gear meshing excitation based on time-frequency analysis and order spectrum analysis. By comparing the results of the torsional vibration of the shaft system and the vibration of the diesel engine, the results show that the torsional resonance of the shaft system causes a strong meshing impact of the gear system. Finally, a vibration suppression scheme was proposed by matching design of the coupling and the shock absorber.

diesel engine  /  vibration identification  /  adaptive feature extraction  /  variational mode extraction
周启迪, 王延荣, 李志鹏, 许春光, 张忠伟, 刘玉婷. 基于自适应特征提取的柴油机传动系振动识别. 内燃机学报, 2025 , 43 (2) : 183 -191 . DOI: 10.16236/j.cnki.nrjxb.202502022
Qidi Zhou, Yanrong Wang, Zhipeng Li, Chunguang Xu, Zhongwei Zhang, Yuting Liu. Vibration identification of diesel engine transmission system based on adaptive feature extraction[J]. Transactions of CSICE, 2025 , 43 (2) : 183 -191 . DOI: 10.16236/j.cnki.nrjxb.202502022
Year 2025 volume 43 Issue 2
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doi: 10.16236/j.cnki.nrjxb.202502022
  • Receive Date:2024-07-05
  • Online Date:2026-11-06
  • Published:2025-03-25
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  • Received:2024-07-05
  • Revised:2024-11-17
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    1.China North Engine Research Institute,Tianjin 300400,China
    2.School of Mechanical Engineering,Beijing Institute of Technology,Beijing 100081,China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
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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