Identifiability issues in dynamic stress–strength modeling
Prajamitra Bhuyan (),
Murari Mitra () and
Anup Dewanji ()
Additional contact information
Prajamitra Bhuyan: Indian Statistical Institute
Murari Mitra: Indian Institute of Engineering Science and Technology, Shibpur
Anup Dewanji: Indian Statistical Institute
Annals of the Institute of Statistical Mathematics, 2018, vol. 70, issue 1, No 3, 63-81
Abstract:
Abstract In many real-life scenarios, system reliability depends on dynamic stress–strength interference, where strength degrades and stress accumulates concurrently over time. In some other cases, shocks appear at random time points, causing damage which is only effective at the instant of shock arrival. In this paper, we consider the identifiability problem of a system under deterministic strength degradation and stochastic damage due to shocks arriving according to a homogeneous Poisson process. We provide conditions under which the models are identifiable with respect to lifetime data only. We also consider current status data and suggest to collect additional information and discuss the issues of model identifiability under different data configurations.
Keywords: Poisson process; Cumulative damage; Identifiability; Strength degradation; Current status data; Shock arrival process (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10463-016-0579-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:aistmt:v:70:y:2018:i:1:d:10.1007_s10463-016-0579-4
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10463/PS2
DOI: 10.1007/s10463-016-0579-4
Access Statistics for this article
Annals of the Institute of Statistical Mathematics is currently edited by Tomoyuki Higuchi
More articles in Annals of the Institute of Statistical Mathematics from Springer, The Institute of Statistical Mathematics
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().