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Twin data-driven design reliability analysis of random vibration system for main bearing of a large mine hoist
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Shuang CAO1, 2, Hao LU1, 2, Zhen-cai ZHU1, 2, Yi-min ZHANG3
Journal of Vibration Engineering | 2024, 37(6) : 915 - 927
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Journal of Vibration Engineering | 2024, 37(6): 915-927
Twin data-driven design reliability analysis of random vibration system for main bearing of a large mine hoist
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Shuang CAO1, 2, Hao LU1, 2, Zhen-cai ZHU1, 2, Yi-min ZHANG3
Affiliations
  • 1School of Mechanical & Electrical Engineering,China University of Mining and Technology,Xuzhou 221008,China
  • 2Jiangsu Key Laboratory of Mine Mechanical and Electrical Equipment,China University of Mining and Technology,Xuzhou 221008,China
  • 3School of Mechanical and Power Engineering,Shenyang University of Chemical Technology,Shenyang 110142,China
Published: 2024-06-28 doi: 10.16385/j.cnki.issn.1004-4523.2024.06.002
Outline
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In the design phase of a mine hoist’s main bearing,the reliability analysis of its random vibration cannot obtain complete probability information of the vibration acceleration response due to insufficient experimental samples. This paper proposes a new technical route for the reliability analysis of the main bearing of a mine hoist under incomplete probability information. This route includes the dynamic model of a multi-scale coupling system for rolling element bearings,the probability density evolution of vibration acceleration,stochastic process modeling of the probability density evolution path,the probability distribution of vibration power spectral density,and the calculation of design reliability based on conditional probability. By using the collected condition data to drive the established dynamic model of multi-scale coupling system for rolling element bearings,the probability density evolution of vibration acceleration is carried out. Based on the probability density evolution and Karhunen-Loève expansion,a modeling approach for the non-stationary random process of vibration acceleration of rolling element bearings is proposed. This approach obtains the twin data of the random sequence of vibration acceleration for rolling element bearings. The probability distribution of the vibration power spectral density for the main bearing of a mine hoist is studied,and the reliability index of the main bearing of a mine hoist within the service time is calculated.

random vibration  /  design reliability analysis  /  twin data  /  main bearing of a large mine hoist  /  incomplete probability information
Shuang CAO, Hao LU, Zhen-cai ZHU, Yi-min ZHANG. Twin data-driven design reliability analysis of random vibration system for main bearing of a large mine hoist[J]. Journal of Vibration Engineering, 2024 , 37 (6) : 915 -927 . DOI: 10.16385/j.cnki.issn.1004-4523.2024.06.002
Year 2024 volume 37 Issue 6
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Article Info
doi: 10.16385/j.cnki.issn.1004-4523.2024.06.002
  • Receive Date:2022-08-28
  • Online Date:2026-02-09
  • Published:2024-06-28
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History
  • Received:2022-08-28
  • Revised:2022-10-17
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Affiliations
    1School of Mechanical & Electrical Engineering,China University of Mining and Technology,Xuzhou 221008,China
    2Jiangsu Key Laboratory of Mine Mechanical and Electrical Equipment,China University of Mining and Technology,Xuzhou 221008,China
    3School of Mechanical and Power Engineering,Shenyang University of Chemical Technology,Shenyang 110142,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
total species (%)

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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