Reliability assessments for two types of balanced systems with multi-state protective devices

被引:32
|
作者
Wang, Xiaoyue [1 ]
Ning, Ru [1 ]
Zhao, Xian [2 ]
Wu, Congshan [3 ]
机构
[1] Beijing Technol & Business Univ, Sch E Business & Logist, Beijing 100048, Peoples R China
[2] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
[3] Beijing Informat Sci & Technol Univ, Sch Econ & Management, Beijing 100192, Peoples R China
基金
中国国家自然科学基金;
关键词
Balanced system; Protective device; Reliability analyses; Markov process imbedding method;
D O I
10.1016/j.ress.2022.108852
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In the existing studies, the positive effects of a protective device on the reliability of balanced systems have not been attached importance, and the research on protective devices is limited and insufficient with respect to the triggering and protection mechanisms. Driven by practical engineering applications, this paper establishes two reliability models for balanced systems with multi-state protective devices from the perspectives of dynamic and static balanced concepts, respectively. The rebalanced mechanisms are considered in the proposed dynamic balanced system, and system imbalance is included in the failure criteria of the proposed static balanced system. In both models, new triggering mechanisms of protective devices are proposed based on the respective char-acteristics of the balanced systems. Moreover, variable protection mechanisms of the devices are proposed by introducing different reduction factors when the protective device operates in different stages. The protective devices reduce the integrated impact of shocks and internal degradation exerted on the units in the new models. The Markov process imbedding method combined with Monte-Carlo simulation is employed to derive the reli-ability of the proposed models. The applicability of proposed systems and correctness of the method are validated by practical engineering applications.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] Dynamics of Transitions in Reliability Analysis of Complex Multi-state Systems
    Tont, Gabriela
    PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON APPLICATIONS OF ELECTRICAL ENGINEERING/8TH INTERNATIONAL CONFERENCE ON APPLIED ELECTROMAGNETICS, WIRELESS AND OPTICAL COMMUNICATIONS, 2009, : 153 - 158
  • [42] Multi-state systems
    Levitin, Gregory
    Xing, Liudong
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2017, 166 : 1 - 2
  • [43] Survival signature for reliability evaluation of a multi-state system with multi-state components
    Qin, Jinlei
    Coolen, Frank P. A.
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2022, 218
  • [44] Survival signature for reliability evaluation of a multi-state system with multi-state components
    Qin, Jinlei
    Coolen, Frank P.A.
    Reliability Engineering and System Safety, 2022, 218
  • [45] Multi-State Joint Survival Signature for Multi-State Systems with Shared Multi-State Components
    Yi, He
    Balakrishnan, Narayanaswamy
    Li, Xiang
    METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY, 2023, 25 (01)
  • [46] Multi-State Joint Survival Signature for Multi-State Systems with Shared Multi-State Components
    He Yi
    Narayanaswamy Balakrishnan
    Xiang Li
    Methodology and Computing in Applied Probability, 2023, 25
  • [47] Reliability analysis of multi-state complex system with multi-state weighted subsystems
    Meenkashi, K.
    Singh, S. B.
    Kumar, Akshay
    INTERNATIONAL JOURNAL OF QUALITY & RELIABILITY MANAGEMENT, 2019, 36 (04) : 552 - 568
  • [48] Reliability of Multi-Trigger Multi-State Systems Subject to Competing Failures
    Wang, Chaonan
    Xing, Liudong
    Levitin, Gregory
    2012 INTERNATIONAL CONFERENCE ON QUALITY, RELIABILITY, RISK, MAINTENANCE, AND SAFETY ENGINEERING (ICQR2MSE), 2012, : 29 - 35
  • [49] Reliability estimation of a multi-state system
    School of Economics and Management, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
    Beijing Hangkong Hangtian Daxue Xuebao, 2007, 8 (968-971):
  • [50] Optimal Imperfect Maintenance in a Multi-State System with Two Failure Types
    Dietrich, Stephanie
    Kahle, Waltraud
    2016 SECOND INTERNATIONAL SYMPOSIUM ON STOCHASTIC MODELS IN RELIABILITY ENGINEERING, LIFE SCIENCE AND OPERATIONS MANAGEMENT (SMRLO), 2016, : 233 - 243