Open Access
Issue
JNWPU
Volume 43, Number 6, December 2025
Page(s) 1132 - 1142
DOI https://doi.org/10.1051/jnwpu/20254361132
Published online 02 February 2026
  1. CHEN Bin, XU Jun, ZHANG Jian, et al. Failure analysis and improvement measures of grease-lubricated bearing used in aeromotor[J]. Lubrication Engineering, 2022, 47(12): 192–196 (in Chinese) [Google Scholar]
  2. YANG Mingming, ZHANG Zhaozhu, YUAN Junya, et al. Research status and prospect of self-lubricating fabric composites and their applications in self-lubricating spherical plain bearings[J]. Tribology, 2024, 44(3): 396–420 (in Chinese) [Google Scholar]
  3. LI Yingchun, QIU Ming, MIAO Yanwei. Bonding behavior and tribological property for self-lubricating spherical plain bearings with PTFE/Kevlar woven liners[J]. China Mechanical Engineering, 2016, 27(2): 222–229 (in Chinese) [Google Scholar]
  4. YANG Yulin, FANG Xingming, WU Feng. Research on wear performance of self-lubricating spherical plain bearings[J]. Bearing, 2015(12): 38–41 (in Chinese) [Google Scholar]
  5. LU Jianjun. Study on failure mechanisms and life estimation methods of self-lubricating radial spherical plain bearings[D]. Xi'an: Northwestern Polytechnical University, 2017: 3-8 (in Chinese) [Google Scholar]
  6. YU C G, CHEN W H, LIANG B, et al. Study on the tribological properties of a self-lubricating spherical plain bearing at a cryogenic and wide temperature range[J]. Scientia Sinica Technologica, 2020, 50(6): 775–785 [Article] [Google Scholar]
  7. YANG Jinglai, XING Chunsheng, TONG Wenwei, et al. Research on rotational fretting wear characteristic of ball bearings and rotor assemblies based on wear particles analysis[J/OL]. (2024-12-12)[2025-03-02]. https://doi.org/10.13224/j.cnki.jasp.20240584 (in Chinese) [Google Scholar]
  8. DONG Bingwu, DENG Sier, ZHANG Wenhu. Study on wear mechanism of self-lubricating spherical plain bearing liners[J]. Intelligent Manufacturing, 2020(8): 50–53 (in Chinese) [Google Scholar]
  9. ZHAO S, ZHANG H, QI X, et al. Wear mechanism of TC4 titanium alloy with TiN coating against self-lubricating fabric[J]. Coatings, 2023, 13(7): 1209 [Google Scholar]
  10. HU Rensong. Study on wear failure mechanism of rigid-flexible spherical plain bearings[D]. Luoyang: Henan University of Science and Technology, 2015: 2-5 (in Chinese) [Google Scholar]
  11. TANG G, WANG X, HE Y. A novel method of fault diagnosis for rolling bearing based on dual tree complex wavelet packet transform and improved multiscale permutation entropy[J]. Mathematical Problems in Engineering, 2016, 2016(1): 5432648 [Google Scholar]
  12. YE M, YAN X, JIA M. Rolling bearing fault diagnosis based on VMD-MPE and PSO-SVM[J]. Entropy, 2021, 23(6): 762 [Article] [Google Scholar]
  13. HALMOS F, WARTZACK S, BARTZ M. Investigation of failure mechanisms in oil-lubricated rolling bearings under small oscillating movements: experimental results, analysis and comparison with theoretical models[J]. Lubricants, 2024, 12(8): 271 [Article] [Google Scholar]
  14. LEI Yaguo, HAN Tianyu, WANG Biao, et al. XJTU-SY rolling element bearing accelerated life test datasets: a tutorial[J]. Journal of Mechanical Engineering, 2019, 55(16): 1–6 (in Chinese) [Google Scholar]
  15. DAI Jingzhou, TIAN Ling, HAN Tianlin. Research on intelligent diagnostic and prognostic method for sliding bearing wear[J]. Journal of Tsinghua University, 2024, 64(12): 2092–2104 (in Chinese) [Google Scholar]
  16. BAO Qianqian, ZHAO Nannan, YANG Yulin, et al. System design of multifunctional friction and wear tester[J]. Bearing, 2018(8): 60–65 (in Chinese) [Google Scholar]
  17. LU Jianjun, QIU Ming, LI Yingchun. Accelerated life test and life analysis of self-lubricating radial spherical plain bearing[J]. Journal of Mechanical Transmission, 2016, 40(10): 105–109 (in Chinese) [Google Scholar]
  18. ZHANG Zhiqiang. Research on friction performance and prediction of dynamic friction coefficient of copper-graphite embedded spherical plain bearing[D]. Zhengzhou: Zhengzhou University, 2022: 12-13 (in Chinese) [Google Scholar]
  19. THUAN N D, DONG T P, NGUYEN H T, et al. Efficient bearing fault diagnosis with neural network search and parameter quantization based on vibration and temperature[J]. Engineering Research Express, 2023, 5(2): 25044 [Article] [Google Scholar]
  20. WEI Aobo, MA Guozheng, LI Guolu, et al. Status and prospect of research methods on wear life of self-lubricating spherical plain bearing[J]. Surface Technology, 2023, 52(4): 31–46 (in Chinese) [Google Scholar]
  21. DUAN Z, WU T, GUO S, et al. Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings: a review[J]. International Journal of Advanced Manufacturing Technology, 2018, 96: 803–819 [Article] [Google Scholar]
  22. REVILL P, CLARKE A, PULLIN R, et al. Acoustic emission monitoring of wear in aerospace self-lubricating bearing liner materials[J]. Wear, 2021, 486: 204102 [Google Scholar]
  23. ELIZAROV S V, BARAT V A, TERENTYEV D A, et al. Acoustic emission monitoring of industrial facilities under static and cyclic loading[J]. Applied Sciences, 2018, 8(8): 1228 [Article] [Google Scholar]
  24. ISLAM A I. Monitoring wear in sliding surfaces by using acoustic emission signals[D]. Greensboro: North Carolina Agricultural and Technical State University, 2013 [Google Scholar]
  25. JIANG Yadi, LU Xuxiang, CHEN Xiangmin, et al. Progress in the study on lubrication condition diagnosis of journal bearing based on acoustic emission technology[J]. Journal of Shantou University, 2019, 34(3): 73–80 (in Chinese) [Google Scholar]
  26. KON T, MANO H, IWAI H, et al. Effect of acoustic emission sensor location on the detection of grinding wheel deterioration in cylindrical grinding[J]. Lubricants, 2024, 12(3): 100 [Article] [Google Scholar]
  27. QIU Ming, ZHOU Zhansheng, ZHOU Dawei, et al. Tribological properties of self-lubricating spherical plain bearings with PTFE/PPS fabric liners[J]. Tribology, 2018, 38(5): 547–553 (in Chinese) [Google Scholar]
  28. QIU Ming, ZHANG Rui, LI Yingchun, et al. Preparation and tribological properties of MoS2 based composite coatings modified by rare earth oxide[J]. Journal of the Chinese Society of Rare Earths, 2018, 36(2): 221–228 (in Chinese) [Google Scholar]
  29. SOUALHI A, MEDJAHER K, ZERHOUNI N. Bearing health monitoring based on hilbert-huang transform, support vector machine, and regression[J]. IEEE Trans on Instrumentation and Measurement, 2014, 64(1): 52–62 [Google Scholar]
  30. XU L, PENNACCHI P, CHATTERTON S. A new method for the estimation of bearing health state and remaining useful life based on the moving average cross-correlation of power spectral density[J]. Mechanical Systems and Signal Processing, 2020, 139106617 [Article] [Google Scholar]
  31. DUONG B P, KHAN S A, SHON D, et al. A reliable health indicator for fault prognosis of bearings[J]. Sensors, 2018, 18(11): 3740 [Article] [Google Scholar]
  32. GUO W, LI X, WAN X. A novel approach to bearing prognostics based on impulse-driven measures, improved morphological filter and practical health indicator construction[J]. Reliability Engineering & System Safety, 2023, 238109451 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.