A diagnostic approach to Weibull-Weibull stress-strength model and its generalization

被引:11
|
作者
Ali, S. [1 ,2 ]
Kannan, S. [3 ]
机构
[1] JK Business Sch, Operat Management, Bhondsi, India
[2] JK Business Sch, Res & Publicat, Bhondsi, India
[3] BITS, Dept Management, Pilani, Rajasthan, India
关键词
Stress (materials); Strength of materials; Stochastic modelling;
D O I
10.1108/02656711111121834
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Purpose - The objective of the paper is to consider the problem of the strength of a manufactured item against stress, when the component follows Weibull failure law. Different cases of stress and strength with varying parameters are discussed for the Weibull-Weibull stress-strength model considered in this paper. The application of the proposed technique will help in understanding the design methodology of the system and addressing the risks involved in perceived quality and reliability levels by eliminating or at least reducing the risk impact at the design phase. Design/methodology/approach - Generalised Weibull-Weibull stress-strength models have been analysed for different cases of shape parameters for stress and strength to estimate the reliability of the system. The model is generalized using semi-regenerative stochastic processes with the help of a state space approach to include a repair facility. Findings - Different cases of stress and strength with varying parameters have been discussed for the Weibull-Weibull stress-strength models considered in this paper. The results show how the stress-strength reliability model is affected by changes in the parameters of stress and strength. The application of the proposed technique will help in understanding the design methodology of the system, and also lead to the problem of addressing the risks involved in perceived quality and reliability levels by eliminating or at least reducing the risk impact in the design phase. Research limitations/implications - The present study is limited to a few special cases of Weibull-Weibull stress-strength models. The authors propose to continue to study the behaviour of general Weibull strength against exponential stress in particular and to identify the shape parameter that maximises the strength reliability. Practical implications - The application of the proposed technique will help in understanding the design methodology of the system, and also lead to the problem of addressing the risks involved in perceived quality and reliability levels by eliminating or at least reducing the risk impact at the design phase. The model has been extended and generalized to include a repair facility under the assumption that all the random variables involved in the analysis are arbitrarily distributed (i.e. general). Originality/value - In the Weibull-Weibull stress-strength model of reliability, different cases have been considered. In the first case, both parameters of stress-strength have the same values and are independent of the distribution. In the second case, if the shape parameter of the strength is twice that of the stress, the probability will have a normal distribution with different parameter values. In the third case, if the shape parameter of the stress is twice that of the strength, then probability distribution is a parabolic cylindrical function. The study shows how to proceed in all cases. The model is generalized to include a repair facility, with all the random variables involved in the analysis being arbitrarily distributed using semi-regenerative stochastic processes.
引用
收藏
页码:451 / +
页数:14
相关论文
共 50 条
  • [21] Bayesian and non-Bayesian reliability estimation of multicomponent stress-strength model for unit Weibull distribution
    Alotaibi, Refah Mohammed
    Tripathi, Yogesh Mani
    Dey, Sanku
    Rezk, Hoda Ragab
    [J]. JOURNAL OF TAIBAH UNIVERSITY FOR SCIENCE, 2020, 14 (01): : 1164 - 1181
  • [22] Modified generalized confidence interval for the stress-strength reliability from exponentiated Weibull distribution
    Wang, Zhanzhong
    Bai, Xuchao
    Li, Jiajun
    [J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2022, 34 (15):
  • [23] Estimation of reliability in multicomponent stress-strength based on two parameter exponentiated Weibull Distribution
    Rao, G. Srinivasa
    Aslam, Muhammad
    Arif, Osama H.
    [J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2017, 46 (15) : 7495 - 7502
  • [24] Bayesian Inference of System Reliability for Multicomponent Stress-Strength Model under Marshall-Olkin Weibull Distribution
    Zhang, Liming
    Xu, Ancha
    An, Liuting
    Li, Min
    [J]. SYSTEMS, 2022, 10 (06):
  • [25] Weibull stress distribution for static mechanical stress and its stress/strength analysis
    Pina-Monarrez, Manuel R.
    [J]. QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2018, 34 (02) : 229 - 244
  • [26] Estimation of multicomponent stress-strength reliability following Weibull distribution based on upper record values
    Hassan, Amal S.
    Nagy, Heba F.
    Muhammed, Hiba Z.
    Saad, Mohammed S.
    [J]. JOURNAL OF TAIBAH UNIVERSITY FOR SCIENCE, 2020, 14 (01): : 244 - 253
  • [27] Inference for reliability in a multicomponent stress-strength model for a unit inverse Weibull distribution under type-II censoring
    Singh, Kundan
    Mahto, Amulya Kumar
    Tripathi, Yogesh
    Wang, Liang
    [J]. QUALITY TECHNOLOGY AND QUANTITATIVE MANAGEMENT, 2024, 21 (02): : 147 - 176
  • [28] Bayesian reliability estimation based on a Weibull stress-strength model for aged power system components subjected to voltage surges
    Chiodo, E
    Mazzanti, A
    [J]. IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION, 2006, 13 (01) : 146 - 159
  • [29] Bayesian reliability estimation based on a Weibull stress-strength model for aged power system components subjected to voltage surges
    Nadarajah, S.
    Kotz, S.
    Chiodo, E.
    Mazzanti, G.
    [J]. IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION, 2006, 13 (04) : 935 - 937
  • [30] A generalization of the Inverse Weibull model: Properties and applications
    Shrahili, Mansour
    [J]. AIN SHAMS ENGINEERING JOURNAL, 2021, 12 (02) : 2057 - 2071