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Original Articles

A New Stress-Based Fatigue Life Model for Ball Bearings

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Pages 11-18 | Published online: 25 Mar 2008

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Yong Xu, Yunze Cai & Lin Song. (2023) Lifespan Prediction of Electronic Card in Nuclear Power Plant Based on Few Samples基于少样本的核电厂电子卡件寿命预测. Journal of Shanghai Jiaotong University (Science).
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Ion Matei, Wiktor Piotrowski, Alexandre Perez, Johan de Kleer, Jorge Tierno, Wendy Mungovan & Vance Turnewitsch. (2023) System Resilience through Health Monitoring and Reconfiguration. ACM Transactions on Cyber-Physical Systems.
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Venkat Nemani, Adam Thelen, Chao Hu & Steve Daining. (2023) Degradation-Aware Ensemble of Diverse Predictors for Remaining Useful Life Prediction. Journal of Mechanical Design 145:3.
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Xing-chen Li, Dao-fang Chang & You-gang SUN. (2023) Data-driven predictive maintenance method for digital welding machines. Matéria (Rio de Janeiro) 28:2.
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Venkat P. Nemani, Hao Lu, Adam Thelen, Chao Hu & Andrew T. Zimmerman. (2022) Ensembles of probabilistic LSTM predictors and correctors for bearing prognostics using industrial standards. Neurocomputing 491, pages 575-596.
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Ren-yi Xu, Hang Wang, Min-jun Peng & Yong-kuo Liu. (2022) An improved regularized particle filter for remaining useful life prediction in nuclear plant electric gate valves. Nuclear Engineering and Technology 54:6, pages 2107-2119.
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Chia-Hua Chu, Chia-Jung Lee & Hsiang-Yuan Yeh. (2020) Developing Deep Survival Model for Remaining Useful Life Estimation Based on Convolutional and Long Short-Term Memory Neural Networks. Wireless Communications and Mobile Computing 2020, pages 1-12.
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Binbin Zhang, Armando Félix Quiñonez & Cornelis H. Venner. (2020) Effect of material anisotropy on rolling contact fatigue life under dry and lubricated point contact conditions: A numerical study. Tribology International 152, pages 106584.
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Huihui Yue, Yazhen Wang, Shuaihong Yu & Jiacheng Shen. (2020) Analysis and Research on the Force of Thin-walled Rings under Alternating Load. Analysis and Research on the Force of Thin-walled Rings under Alternating Load.
Gaetano Quattrocchi, Pier C. Berri, Matteo D. L. Dalla Vedova & Paolo Maggiore. (2020) Innovative Actuator Fault Identification Based on Back Electromotive Force Reconstruction. Actuators 9:3, pages 50.
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Simon K. John, R. K. Mishra, K. Hari, H. P. Ramesha & Kamlesh K. Ram. (2020) Investigation of Bearing Failure in a Turbo Shaft Engine. Journal of Failure Analysis and Prevention 20:1, pages 34-39.
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Xiaojie Zhai, Xiukun Wei & Jihong Yang. (2019) A Comparative Study on the Data-driven Based Prognostic Approaches for RUL of Rolling Bearings. A Comparative Study on the Data-driven Based Prognostic Approaches for RUL of Rolling Bearings.
David Laredo, Zhaoyin Chen, Oliver Schütze & Jian-Qiao Sun. (2019) A neural network-evolutionary computational framework for remaining useful life estimation of mechanical systems. Neural Networks 116, pages 178-187.
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Jialin Li, Xueyi Li & David He. (2019) A Directed Acyclic Graph Network Combined With CNN and LSTM for Remaining Useful Life Prediction. IEEE Access 7, pages 75464-75475.
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Kai Goebel & Bhaskar Saha. 2019. Handbook of Unmanned Aerial Vehicles. Handbook of Unmanned Aerial Vehicles 1 18 .
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Dawn An, Joo-Ho Choi & Nam H. Kim. (2017) Remaining useful life prediction of rolling element bearings using degradation feature based on amplitude decrease at specific frequencies. Structural Health Monitoring 17:5, pages 1095-1109.
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Insun Shin, Junmin Lee, Jun Young Lee, Kyusung Jung, Daeil Kwon, Byeng D. Youn, Hyun Soo Jang & Joo-Ho Choi. (2018) A Framework for Prognostics and Health Management Applications toward Smart Manufacturing Systems. International Journal of Precision Engineering and Manufacturing-Green Technology 5:4, pages 535-554.
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Eneko Olabarrieta, Egoitz Konde, Enrique Guruceta & Mikel Armendia. (2018) New approach for bearing life cycle control. Procedia Manufacturing 19, pages 58-65.
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Gang NiuGang Niu. 2017. Data-Driven Technology for Engineering Systems Health Management. Data-Driven Technology for Engineering Systems Health Management 259 291 .
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Seong-Wook Hong & Van-Canh Tong. (2016) Rolling-element bearing modeling: A review. International Journal of Precision Engineering and Manufacturing 17:12, pages 1729-1749.
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Dawn An, Nam Ho Kim & Jooh Choi. (2016) Bearing Prognostics Method Based on Entropy Decrease at Specific Frequency. Bearing Prognostics Method Based on Entropy Decrease at Specific Frequency.
R. K. Mishra, S. K. Muduli, K. Srinivasan & S. I. Ahmed. (2015) Failure Analysis of an Inter-shaft Bearing of an Aero Gas Turbine Engine. Journal of Failure Analysis and Prevention 15:2, pages 205-210.
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Rodney K. Singleton, Elias G. Strangas & Selin Aviyente. (2015) Extended Kalman Filtering for Remaining-Useful-Life Estimation of Bearings. IEEE Transactions on Industrial Electronics 62:3, pages 1781-1790.
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Kai Goebel & Bhaskar Saha. 2015. Handbook of Unmanned Aerial Vehicles. Handbook of Unmanned Aerial Vehicles 1053 1070 .
Theodoros H. Loutas, Dimitrios Roulias & George Georgoulas. (2013) Remaining Useful Life Estimation in Rolling Bearings Utilizing Data-Driven Probabilistic E-Support Vectors Regression. IEEE Transactions on Reliability 62:4, pages 821-832.
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Xiao Feng Qin, Da Le Sun & Li Yang Xie. (2013) Research on the Approach for the Assessment of Subsurface Rolling Contact Fatigue Damage. Applied Mechanics and Materials 395-396, pages 845-851.
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Simon Kabus, Michael R. Hansen & Ole Ø. Mouritsen. (2012) A New Quasi-Static Cylindrical Roller Bearing Model to Accurately Consider Non-Hertzian Contact Pressure in Time Domain Simulations. Journal of Tribology 134:4.
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Dawn An, Joo-Ho Choi & Nam H. Kim. (2011) Identification of correlated damage parameters under noise and bias using Bayesian inference. Structural Health Monitoring 11:3, pages 293-303.
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R.F. Orsagh, J. Sheldon & C.J. Klenke. (2003) Prognostics/diagnostics for gas turbine engine bearings. Prognostics/diagnostics for gas turbine engine bearings.

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