• International Joural Papers

[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, 2022 (Accepted, 2022.07.10)

[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 (2022.07.14 ; 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 Reliability 2020; 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 Reliability 2020; 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.