• International Joural Papers

[24]H. Tian,J. Mi*, S. Tong, Y.F. Li. Uncertainty-weighted with gradient-based to re-weight domain generalization for remaining useful life prediction of rotating machinery under unseen conditions.Reliability Engineering & System Safety, 2026, 267: 111810. (Accepted, 2025.10.23)https://doi.org/10.1016/j.ress.2025.111810

[23]J. Wang, Y. Zhuang,J. Mi*, Y.F. Li, G. Qiu. Remaining life prediction of rolling bearings based on parallel feature extraction and deep learning.Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability, 2026. (Accepted, 2025.10.20)

[22]K. Li,J. Mi*, Z. Wang, S. Yin, L. Bai, G. Qiu. Real-Time Assessment on Health State for Bearing Based on Parallel Encoder-Decoder Observer,Quality and Reliability Engineering International, 2024, 40(5): 2276-2291.

[21]K. Wang, H. Qian,J. Mi*, T. Xu, H. Z. Huang. Dynamic modeling and reliability analysis of satellite antenna deployment mechanism based on parameter uncertainty,Quality and Reliability Engineering International, 2024, 40(5): 2292-2304.

[20]J. Mi. L. Liu, Y. Zhuang, L. Bai, Y. F. Li*. A synthetic feature processing method for remaining useful life prediction of rolling bearings.IEEE Transactions on Reliability, 2023, 72(1): 125-136.

[19]Y. Jia,J. Mi*,D. Sun, L. Bai, K. Chen. Reliability analysis of systems with mixed uncertainties based on Bhattacharyya distance and Bayesian network.Quality and Reliability Engineering International, 2022, 38(7): 3741-3754. (Download)

[18]J. Mi, Y. Cheng*, Y. Song, L. Bai, K. Chen. Application of dynamic evidential networks in reliability analysis of complex systems with epistemic uncertainty and multiple life distributions.Annals of Operations Research, 2022, 311(1): 311-333. (Download)

[17]J. Mi,N. Lu, Y. F. Li*, H. Z. Huang, L. Bai. An evidential network-based hierarchical method for system reliability analysis with common cause failures and mixed uncertainties,Reliability Engineering & System Safety, 2022, vol. 220, 108295.https://doi.org/10.1016/j.ress.2021.108295(Download)

[16]Y. Lu,J. Mi*,H. Liang, Y. Cheng, L. Bai. Intelligent fault diagnosis of rotating machinery based on a novel lightweight convolutional neural network,Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability, 2022, 236(4): 554-569,(Download)

[15]Y. Song,J.Mi*,Y. Cheng*, L. Bai, K. Chen. Reliability assessment for failure-dependent and uncertain systems: A Bayesian network based on copula method and probability-box,Quality and Reliability Engineering International, 2021,37(5): 1894-1921.https://doi.org/10.1002/qre.2835(Download)

[14]Y. Song,J.Mi*,Y. Cheng*, L. Bai, K. Chen. A dependency bounds analysis method for reliability assessment of complex system with hybrid uncertainty,Reliability Engineering & System Safety, 2020, vol. 204, 107119,https://doi.org/10.1016/j.ress.2020.107119(Download)

[13]J. Mi,M. Beer, Y. F. Li*, M. Broggi, Y. Cheng*. Reliability and importance analysis of uncertain system with common cause failures based on survival signature,Reliability Engineering & System Safety, 2020, vol. 201, 106988,https://doi.org/10.1016/j.ress.2020.106988(Download)

[12]J. Mi, Y. F. Li*, M. Beer, M. Broggi, Y. Cheng*. Importance measure of probabilistic common cause failures under system hybrid uncertainty based on Bayesian network.Eksploatacja i Niezawodnosc–Maintenance and Reliability2020; 22(1): 112–120.

[11]H. Liang,J. Mi*, L. Bai, Y. Cheng. Imprecise sensitivity analysis of system reliability based on the Bayesian network and probability box.Eksploatacja i Niezawodnosc–Maintenance and Reliability2020; 21(3): 508-519.

[10]Y. Song,J.Mi*, Y. Cheng, et al. Application of discrete‐time Bayesian network on reliability analysis of uncertain system with common cause failure.Quality and Reliability Engineering International, 2019, 35(4): 1025-1045.

[9]J. Zhang,J. Mi*, Y. Cheng, et al. Quality characteristics prediction of complex mechatronics system based on symbolic dynamics and gray model.Transactions of the Institute of Measurement and Control, 2019, 41(13): 3861-3871.

[8]J. Mi, Y. F. Li*, W. Peng, H. Z. Huang, Reliability analysis of complex multi-state system with common cause failure based on evidential networks,Reliability Engineering & System Safety, 2018, 174: 71-81.

[7]J. Mi, Y. F. Li, Y. J. Yang, W. Peng, H. Z. Huang*. Reliability assessment of complex electromechanical systems under epistemic uncertainty.Reliability Engineering & System Safety, 2016, 152: 1-15.

[6]J. Mi, Y. F. Li, W. Peng, Y. J. Yang, H. Z. Huang*. Fault tree analysis of feeding control system for CNC heavy-duty horizontal lathes with multiple CCFGs.Journal of Shanghai Jiaotong University (Science), 2016, 21(4): 504-508.

[5]J. Mi, Y. F. Li, Y. J. Yang, W. Peng, Y. Liu, H. Z. Huang*. Belief UGF analysis of multi-state systems under epistemic uncertainty and common cause failures.IEEE Transaction on Reliability, 2015, 64(4): 1300-1309.

[4]J. Mi, Y. F. Li, H. Z. Huang*, A. F. Li, X. M. Wang. Reliability analysis of excavator rectifier feedback system with multi-state components based on belief UGF method.Journal of Shanghai Jiaotong University (Science), 2015, 20(3):344-348.

[3]F. J. Zuo,J. Mi*, Z. Q. Lv, H. Y. Gao. Fatigue life estimation considdering strengthening of low amplitude loads using improved unequal interval grey model.Journal of Donghua University (Eng. Ed.)2015, 32(6): 122-126.

[2]J. Mi, Y. F. Li, Y. J. Yang, W. Peng, H. Z. Huang*. Thermal cycling life prediction of Sn-3.0Ag-0.5Cu solder joint using type-I censored data.The Scientific World Journal, 2014.

[1]J. Mi, Y. F. Li, H. Z. Huang*, Y. Liu, X. Zhang. Reliability analysis of multi-state system with common cause failure based on Bayesian networks.Eksploatacja i Niezawodnosc–Maintenance and Reliability, 2013, 15(2): 169-175.

• Domestic Journal Papers

[2]米金华,李彦锋*,彭卫文,黄洪钟.复杂多态系统的区间值模糊贝叶斯网络建模与分析,中国科学:物理学,力学,天文学. 2018, 48(1): 014604,

[1]米金华,李彦锋,李海庆,黄洪钟*.基于模糊理论的数控机床液压系统故障树分析.制造技术与机床, 2011, (4): 114-119.

• Conference papers

[10]H. Liang,J. Mi, L. Bai, Y. Cheng. . Reliability analysis of discrete multi-state systems based on survival signature.In IOP Conference Series: Materials Science and Engineering(Vol. 1043, No. 5, p. 052029). IOP Publishing, Xi'an, China, 2020.

[9]J. Mi, X. Wang, Y. Cheng, S. Zhang.Multi-source uncertain information fusion method for fault diagnosis based on evidence theory,IEEE PHM, Qingdao, China, 2019.

[8]J. Mi, M. Beer, Y. F. Li, M. Broggi, Y. Cheng. Common cause failure importance analysis for aerospace systems,ESREL 2019, Hannover, Germany, 2019.

[7]J. Mi, Y. F. Li, W. Peng, Y. J. Yang, H. Z. Huang. Service-life assessment of complex dynamic systems under interval uncertainty based on Bayesian Networks.ASME IDETC/CIE, Boston, Massachusetts, USA, 2015.

[6]J. Mi, Y. F. Li, Y. Liu, W. Peng, H. Z. Huang. Non-probabilistic reliability analysis of multi-state systems subject to common cause failure,APARM, Hokkaido, Japan, 2014.

[5]J. Mi, Y. F. Li, H. Z. Huang, A. Li, X. Wang. Reliability analysis of excavator rectifier feedback system with multi-state components based on belief UGF method.ICQR2MSE, Dalian, China, 2014.

[4]米金华,李天航,李彦锋,黄洪钟,刘宇.惯性导航系统的加速寿命试验设计和寿命预测[C]. 2014年航天可靠性学术交流会,西安, 2014.

[3]J. Mi,J. Wang, Y. F. Li, H. Z. Huang, Y. J. Yang, W. Peng. The life prediction of lead-free solder joint with type-I interval censored data.ICQR2MSE, Emei, China, 2013: 946-949.

[2]J. Mi, Y. F. Li, H. Z. Huang, Y. Liu, X. Zhang. Reliability analysis of multi-state system with common cause failure based on Bayesian networks.ICQR2MSE, Chengdu, China, 2012: 1119-1123.

[1]J. Mi, Y. F. Li, H. Li, W. Peng, H. Z. Huang. Reliability analysis of CNC hydraulic system based on fuzzy fault tree.ICQR2MSE, Xi’an, China, 2011: 375-379.

etc.