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Time-varying mesh stiffness identification of gear systems based on an alternating state/parameter optimization estimation
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Miao-miao LIN1, Chang-ming CHENG1, Zhi-ke PENG1, 2
Journal of Vibration Engineering | 2024, 37(10) : 1707 - 1713
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Journal of Vibration Engineering | 2024, 37(10): 1707-1713
Time-varying mesh stiffness identification of gear systems based on an alternating state/parameter optimization estimation
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Miao-miao LIN1, Chang-ming CHENG1, Zhi-ke PENG1, 2
Affiliations
  • 1State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China
  • 2School of Mechanical Engineering, Ningxia University, Yinchuan 750021, China
Published: 2024-10-28 doi: 10.16385/j.cnki.issn.1004-4523.2024.10.008
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The time-varying mesh stiffness is a core parameter of gear systems，and the mesh stiffness identification is of great significance for the dynamic analysis and condition monitoring of gear transmission systems. Since it is difficult to directly measure the mesh stiffness，it is necessary to develop a data-driven time-varying mesh stiffness identification method. To deal with this problem，an alternating state-parameter optimization method is proposed to identify the time-varying mesh stiffness of gear systems. The Fourier series with the fundamental frequency of the mesh frequency is constructed to characterize the mesh stiffness. Furthermore，a Reproducing Kernel Hilbert Space （RKHS）-based de-noise method is further proposed to estimate the system state and parameter. The system state and stiffness parameter are alternately optimized with the joint constrains of dynamic model and data to realize the time-varying mesh stiffness identification of gear transmission systems. The simulation and experimental studies validate the effectiveness of the new mesh stiffness identification method for gear systems.

parameter identification  /  gear transmission system  /  time-varying mesh stiffness  /  alternating optimization
Miao-miao LIN, Chang-ming CHENG, Zhi-ke PENG. Time-varying mesh stiffness identification of gear systems based on an alternating state/parameter optimization estimation[J]. Journal of Vibration Engineering, 2024 , 37 (10) : 1707 -1713 . DOI: 10.16385/j.cnki.issn.1004-4523.2024.10.008
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Year 2024 volume 37 Issue 10
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Article Info
doi: 10.16385/j.cnki.issn.1004-4523.2024.10.008
  • Receive Date：2024-04-03
  • Online Date：2026-02-12
  • Published：2024-10-28
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  • Received：2024-04-03
  • Revised：2024-06-21
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    1State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China
    2School 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
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 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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