STATISTICAL ANALYSIS OF PROGRESSIVE STRESS ACCELERATED LIFE TEST FOR THE PRODUCT OF TWO-PARAMETER LAPLACE BS FATIGUE LIFE DISTRIBUTION UNDER INVERSE POWER LAW MODEL | Zendy

Ronghua Wang | Zendy; Beiqing Gu | Zendy; Xiaoling Xu | Zendy

Open Access

STATISTICAL ANALYSIS OF PROGRESSIVE STRESS ACCELERATED LIFE TEST FOR THE PRODUCT OF TWO-PARAMETER LAPLACE BS FATIGUE LIFE DISTRIBUTION UNDER INVERSE POWER LAW MODEL

Author(s) -

Ronghua Wang,

Beiqing Gu,

Xiaoling Xu

Publication year - 2020

Publication title -

journal of applied analysis and computation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.55

H-Index - 21

eISSN - 2158-5644

pISSN - 2156-907X

DOI - 10.11948/20200286

Subject(s) - laplace transform , laplace distribution , mathematics , inverse laplace transform , power law , weibull distribution , accelerated life testing , inverse , power function , shape parameter , mathematical analysis , distribution (mathematics) , power (physics) , stress (linguistics) , statistics , physics , geometry , linguistics , philosophy , quantum mechanics

Based on the product of two-parameter Laplace Birnbaum-Saunders fatigue life distribution, its failure distribution mode is theoretically derived under the progressive stress accelerated life test with inverse power law model, and then three-parameter generalized Laplace Birnbaum-Saunders fatigue life distribution is introduced. The basic properties of three-parameter generalized Laplace Birnbaum-Saunders fatigue life distribution are analyzed, and the image characteristics of its density function, failure rate function and average failure rate function are investigated. Meanwhile, the point estimate method is given for three parameters, and then the point estimates of parameters are obtained for the product of two-parameter Laplace Birnbaum-Saunders fatigue life distribution under the progressive stress accelerated life test with inverse power law model. In addition, the practical example and simulation examples are illustrated to show the feasibility of the proposed method.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research