Importance measure-based maintenance optimization strategy for pod slewing system

被引:15
|
作者
Chen, Liwei [1 ]
Gao, Yansan [1 ]
Dui, Hongyan [2 ]
Xing, Liudong [3 ]
机构
[1] Zhengzhou Univ, Sch Elect Engn, Zhengzhou 450001, Peoples R China
[2] Zhengzhou Univ, Sch Management Engn, Zhengzhou 450001, Peoples R China
[3] Univ Massachusetts Dartmouth, Dept Elect & Comp Engn, N Dartmouth, MA 02747 USA
基金
中国国家自然科学基金;
关键词
Reliability; Maintenance cost; Importance measure; Pod slewing system; RELIABILITY; PERFORMANCE;
D O I
10.1016/j.ress.2021.108001
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The pod slewing system is a complex hydraulic system that can realize the ship's yawing or reversing. Thus, its performance directly affects the maneuverability and flexibility of the ship. Existing research on the pod slewing system has mostly focused on its design and control aspects. This paper makes contributions by modeling the reliability of the pod slewing system and performing the component importance analysis using the integrated importance measure and the griffith importance measure to identify weak or vulnerable components of the system. Based on the importance analysis results, the optimal maintenance strategy is investigated, which maximizes the system performance subject to the constraint on the total maintenance costs. Example solutions to the optimized maintenance strategies are demonstrated for different mission time and different cost constraints.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Importance measure-based maintenance strategy considering maintenance costs
    Zhang C.
    Zhang Y.
    Dui H.
    Wang S.
    Tomovic M.M.
    Eksploatacja i Niezawodnosc, 2022, 24 (01) : 15 - 24
  • [2] Importance measure-based maintenance strategy considering maintenance costs
    Zhang, Chao
    Zhang, Yadong
    Dui, Hongyan
    Wang, Shaoping
    Tomovic, Mileta M.
    EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY, 2022, 24 (01): : 15 - 24
  • [3] Importance measure-based maintenance strategy optimization: Fundamentals, applications and future directions in AI and IoT
    Dui, Hongyan
    Wu, Xinmin
    Wu, Shaomin
    Xie, Min
    FRONTIERS OF ENGINEERING MANAGEMENT, 2024, 11 (03) : 542 - 567
  • [4] Importance measure-based resilience management: Review, methodology and perspectives on maintenance
    Dui, Hongyan
    Liu, Meng
    Song, Jiaying
    Wu, Shaomin
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2023, 237
  • [5] Importance measure-based maintenance analysis and spare parts storage configuration in two-echelon maintenance and supply support system
    Dui, Hongyan
    Yang, Xingju
    Liu, Meng
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2023, 61 (23) : 8325 - 8342
  • [6] Importance measure-based resilience analysis of a wind power generation system
    Dui, Hongyan
    Zheng, Xiaoqian
    Guo, Jianjun
    Xiao, Hui
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY, 2022, 236 (03) : 395 - 405
  • [7] Importance measure-based phased mission reliability and UAV number optimization for swarm
    Feng, Qiang
    Liu, Meng
    Dui, Hongyan
    Ren, Yi
    Sun, Bo
    Yang, Dezhen
    Wang, Zili
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2022, 223
  • [8] Maintenance strategy of multicomponent system based on structure updating and group importance measure
    Chen, Yijie
    Feng, Hailin
    COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2022, 51 (09) : 2919 - 2935
  • [9] Time series importance measure-based reliability optimization for cellular manufacturing systems
    Li, Haibao
    Cai, Zhiqiang
    Zhang, Shuai
    Zhao, Jiangbin
    Si, Shubin
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2024, 244
  • [10] Time series importance measure-based reliability optimization for cellular manufacturing systems
    Li, Haibao
    Cai, Zhiqiang
    Zhang, Shuai
    Zhao, Jiangbin
    Si, Shubin
    Reliability Engineering and System Safety, 2024, 244