Reliability modeling for failure correlations to a CNC lathe subsystem based on Pagerank Algorithm

References

• Chambari, A., P. Azimi, and A. A. Najafi. 2021. Redundancy allocation of heterogeneous components by simulation-based optimization. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 235 (6):1090–101. doi:10.1177/1748006X211007263.
   Web of Science ®Google Scholar
• Deng, W., J. Xu, H. Zhao, and Y. Song. 2022. A novel gate resource allocation method using improved PSO-based QEA. IEEE Transactions on Intelligent Transportation Systems 23 (3):1737–45. doi:10.1109/TITS.2020.3025796.
   Web of Science ®Google Scholar
• Deng, W., J. Xu, X.-Z. Gao, and H. Zhao. 2022. An enhanced MSIQDE algorithm with novel multiple strategies for global optimization problems. IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (3):1578–87. doi:10.1109/TSMC.2020.3030792.
   Web of Science ®Google Scholar
• Deng, W., L. Zhang, X. Zhou, Y. Zhou, Y. Sun, W. Zhu, H. Chen, W. Deng, H. Chen, H. Zhao, et al. 2022. Multi-strategy particle swarm and ant colony hybrid optimization for airport taxiway planning problem. Information Sciences 612:576–93. doi:10.1016/j.ins.2022.08.115.
   Web of Science ®Google Scholar
• Deng, W., X. Zhang, Y. Zhou, Y. Liu, X. Zhou, H. Chen, and H. Zhao. 2022. An enhanced fast non-dominated solution sorting genetic algorithm for multi-objective problems. Information Sciences 585:441–53. doi:10.1016/j.ins.2021.11.052.
   Web of Science ®Google Scholar
• Ding, X., J. Xu, J. Wang, and J. Zheng. 2022. Fault diagnosis of wind turbine generator bearings using fast spectral correlation. Wind Engineering 46 (3):724–36. doi:10.1177/0309524X211046381.
   Web of Science ®Google Scholar
• Duan, J., N. Xie, and L. Li. 2019. Modelling and evaluation of multi-state reliability of repairable non-series manufacturing system with finite buffers. Advances in Mechanical Engineering 11 (6):168781401985548. doi:10.1177/1687814019855483.
   Web of Science ®Google Scholar
• Hu, W., Z. Yang, C. Chen, Y. Wu, and Q. Xie. 2021. A Weibull-based recurrent regression model for repairable systems considering double effects of operation and maintenance: A case study of machine tools. Reliability Engineering and System Safety 213:107669. doi:10.1016/j.ress.2021.107669.
   Web of Science ®Google Scholar
• Li, H., Z.-M. Deng, N. A. Golilarz, and C. Guedes Soares. 2021. Reliability analysis of the main drive system of a CNC machine tool including early failures. Reliability Engineering & System Safety 215 (11):107846. doi:10.1016/j.ress.2021.107846.
   Google Scholar
• Li, Y., X. Zhang, Y. Ran, and G. Zhang. 2021. Early failure modeling and analysis of CNC machine tools. The International Journal of Advanced Manufacturing Technology 112 (9–10):2731–54. doi:10.1007/s00170-020-06495-0.
   Web of Science ®Google Scholar
• Liu, B., Y. Shi, H. K. T. Ng, and X. Shang. 2021. Nonparametric Bayesian reliability analysis of masked data with dependent competing risks. Reliability Engineering & System Safety 210 (7):107502. doi:10.1016/j.ress.2021.107502.
   Google Scholar
• Liu, Y., P. Hua, and Y. Yong. 2018. Reliability modeling and evaluation method of CNC grinding machine tool. Applied Sciences 9 (1):14. doi:10.3390/app9010014.
   Google Scholar
• Liu, Z., X. Liu, H.-Z. Huang, P. Zhu, and Z. Liang. 2022. A new inherent reliability modeling and analysis method based on imprecise Dirichlet model for machine tool spindle. Annals of Operations Research 311 (1):295–310. doi:10.1007/s10479-019-03333-9.
   Web of Science ®Google Scholar
• Lyu, H., S. Wang, Z. Yang, H. Qu, and L. Ma. 2023. Reliability modeling for multi-component system subject to dependent competing failure processes with phase-type distribution considering multiple shock sources. Quality Engineering 35 (1):95–109. doi:10.1080/08982112.2022.2098043.
   Web of Science ®Google Scholar
• Sun, S., W. Zhou, M. Zhang, et al. 2020. Fault analysis of CNC equipment based on DEMATEL/ISM/ANP. Journal of Mechanical Science and Technology 34 (7):1–8. doi:10.1007/s12206-020-0709-z.
   Google Scholar
• Sun, Y., L. Ma, J. Mathew, and S. Zhang. 2006. An analytical model for interactive failures. Reliability Engineering & System Safety 91 (5):495–504. doi:10.1016/j.ress.2005.03.014.
   Web of Science ®Google Scholar
• Torrado, N., A. Arriaza, and J. Navarro. 2021. A study on multi-level redundancy allocation in coherent systems formed by modules. Reliability Engineering & System Safety 213 (2):107694. doi:10.1016/j.ress.2021.107694.
   Google Scholar
• Wu, Y., Z. Yang, J. Wang, X. Chen, and W. Hu. 2022. Optimizing opportunistic preventive maintenance strategy for multi-unit system of CNC lathe. Journal of Mechanical Science and Technology 36 (1):145–55. doi:10.1007/s12206-021-1213-9.
   Web of Science ®Google Scholar
• Xiao, H., M. Cao, G. Kou, and X. Yuan. 2021. Optimal element allocation and sequencing of multi-state series systems with two levels of performance sharing. Proceedings of the Institution of Mechanical Engineers Part O: Journal of Risk and Reliability 235 (2):282–92. doi:10.1177/1748006X20947846.
   Web of Science ®Google Scholar
• Yang, Z., C. Chen, J. Wang, and G. Li. 2015. Reliability assessment of CNC machining center based on Weibull neural network. Mathematical Problems in Engineering 2015:1–8. doi:10.1155/2015/292197.
   Web of Science ®Google Scholar
• Zhang, K., and H. Cao. 2021. Reliability analysis of heat exchanging system of deep-sea manned submersibles using Markov model. Quality Engineering 33 (3):487–96. doi:10.1080/08982112.2021.1907407.
   Web of Science ®Google Scholar
• Zhang, Y., L. Mu, G. Shen, Y. Yu, and C. Han. 2019. Fault diagnosis strategy of CNC machine tools based on cascading failure. Journal of Intelligent Manufacturing 30 (5):2193–202. doi:10.1007/s10845-017-1382-7.
   Web of Science ®Google Scholar
• Zhao, H., P. Zhang, R. Zhang, R. Yao, and W. Deng. 2023. A novel performance trend prediction approach using ENBLS with GWO. Measurement Science and Technology 34 (2):025018. doi:10.1088/1361-6501/ac9a61.
   Web of Science ®Google Scholar
• Zhu, M., Y. Yang, X. Feng, Z. Du, and J. Yang. 2023. Robust modeling method for thermal error of CNC machine tools based on random forest algorithm. Journal of Intelligent Manufacturing 34 (4):2013–26. doi:10.1007/s10845-021-01894-w.
   Web of Science ®Google Scholar