Jie Yu, Tiebin Wang, Xinghe Sun, Weidong Wang, and Gege Zhao


  1. [1] H. Zhang, M. Li, and Y. Wang, Development of an activepower filter based on sliding mode control and RBF networks,Mechatronic Systems and Control, 49(3), 2021, 149–156.
  2. [2] Y. Chen, M. Han, and J. Ye, Knowledge representationof CBR-based fault diagnosis systems for CNC equipment,Journal of Beijing University of Aeronautics and Astronautics,37(12), 2011, 1557–1561.
  3. [3] C. Liu, Y. Zhang, B. Zhang, F. Shu, X. Zhang, and T. Liu,A review of servo system fault diagnosis techniques for CNCmachine tools, Journal of Changchun University of Technology:Natural Science Edition, 34(2), 2013, 200–206.
  4. [4] J. Wang and M. Qi, Application of RBR and CBR in the faultdiagnosis system of CNC machine tools, Combined MachineTools and Automated Machining Technology, 2011(1), 2011,47–53.
  5. [5] J. Zhang, Z. Cao, H. Gong, R. Zhang, and K. Li, Discussionon the development trend of CNC machine tools andcountermeasures, Science and Technology Wind, 2019(21),2019, 180.
  6. [6] C. Zhan, Fundamentals of hydraulic reliability design and designguidelines, (Beijing: Metallurgical Industry Press, 2018).
  7. [7] J. Li, Reliability analysis of hydraulic system of CNCmachine tools based on Monte Carlo method, Hydraulics andPneumatics, 2011(11), 2011, 115–117.
  8. [8] H. Yu, G. Zhang, Y. Ran, M. Li, and Y. Wang, A comprehensiveand practical reliability allocation method considering failureeffects and reliability costs, Eksploatacja i Niezawodnosc-Maintenance and Reliability, 20(2), 2018, 244–251.
  9. [9] J. Cai, Z. Fang, and Q. Zhang, Study on the reli-ability allocation of hybrid systems considering failure-related, Systems Engineering Theory and Practice, 41(09),2021, 2404–2413.
  10. [10] W.X. Liu, Mechanical reliability, (Beijing: Tsinghua UniversityPress, 1996).
  11. [11] M. Li, Y. Tang, J. Zeng, and X. Ren, Reliability allocationfor wafer stage system of lithography based on AHP, Proc.International Conf. on Quality, Chengdu, 2012, 1081–1084.
  12. [12] W. Cai, H. Li, H. Gong, J. Tuo, C. Liu, and Y. Jiao, Evaluationmethod of smart energy meter suppliers based on hierarchicalanalysis method, Electrical Measurement and Instrumentation,56(1), 2019, 121–127.
  13. [13] H. Cai, Construction of CNC machine tools, (Beijing: BeijingInstitute of Technology Press, 2016).
  14. [14] Y. Li, X. Hu, and A. Qiao, An improved fuzzy hierarchicalanalysis method, Journal of Northwestern University (NaturalScience Edition), 35(1), 2005, 11–1.
  15. [15] K. Chen, Y. Wang, and J. Liu, Choice of cutting fluid for greenmanufacturing machine bed based on FAHP-GRA, ModularMachine Tool and Automatic Manufacturing Technique,2021(2), 2021, 140–144.
  16. [16] A. Moghaddam, M. Moghaddam, and M. Esfandyari, Stockmarket index prediction using artificial neural network, Journalof Economics, Finance and Administrative Science, 21(41),2016, 89–93.
  17. [17] J. Tang, F. Liu, and W. Zhang, Lane-changes predictionbased on adaptive fuzzy neural network, Expert Systems withApplications, 91, 2018, 452–463.
  18. [18] D. You and H. Pham, Reliability analysis of the CNCsystem based on field failure data in operating environments,Quality and Reliability Engineering International, 32(5), 2015,1955–1963.
  19. [19] C. Vishnu and V. Regikumar, Reliability based maintenancestrategy selection in process plants: A case study, ProcediaTechnology, 25, 2016, 1080–1087.
  20. [20] T. Gulavane, Reliability analysis SSN College of Engineering,Chennai, of CNC turning centre machine: A case study fromIndian industry, Proc. Third National Conf. on Reliability andSafety Engineering, Chennai, 2016.
  21. [21] R. Patil, B. Kothavale, L. Waghmode, and S. Joshi, Reliabilityanalysis of CNC turning center based on the assessment oftrends in maintenance data: A case study, International Journalof Quality and Reliability Management, 34(9), 2017, 1616–1638.
  22. [22] P. Vida, Y. Kamiar, N. Maziar, and N. Nahal, Managementof the construction and demolition waste (CDW) anddetermination of the best disposal alternative by FAHP (FuzzyAnalytic Hierarchy Process): A case study of Tehran, Iran,Journal of the Air and Waste Management Association, 73(4),2023, 11–14.23
  23. [23] L. Li, B. Guo, Z. Liu, and X. Ma, Influence of frequency conver-sion on material mass of participating in vibration in vibratingfeeder, Mechatronic Systems and Control, 48(3), 2020, 194–198.
  24. [24] B. Parul, S. Bhavna, and K. Nand, Allocating weightage tosustainability criteria’s for performance assessment of grouphousing developments: Using fuzzy analytic hierarchy process,Journal of Building Engineering, 65(1), 2023, 105684.
  25. [25] S. Mohsen, T. Salman, A. Nasrin, G. Hamedeh, A. Vahid,T. Mostafa, G. Aysa, S. Ahmad, and A. Bahare, Developmentof a novel Electrical Industry Safety Risk Index (EISRI) in theelectricity power distribution industry based on fuzzy analytichierarchy process (FAHP), Heliyon, 9(2), 2023, 13155–13155.
  26. [26] P. Aotian, Quality improvement of undergraduate coursesbased on fuzzy analytic hierarchy process and entropy method,Frontiers in Psychology, 13, 2022, 892628–892628.
  27. [27] Y. Li, Y. Yu, X. Hu, and X. Liu, Vector control of permanentmagnet synchronous linear motor based on improved BPneural network, Mechatronic Systems and Control, 49(2),2021, 109–114.
  28. [28] B. Singh, K. Dinesh, and A. Babu J, Deriving and comparingpriority vectors for revised-leachate pollution index (r-LPI)using three fuzzy analytic hierarchy process, EnvironmentalProgress and Sustainable Energy, 42(1), 2022, e13931.

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