File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1016/j.ress.2017.05.018
- Scopus: eid_2-s2.0-85019959865
- WOS: WOS:000412607200007
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Reliability modeling of mixtures of one-shot units under thermal cyclic stresses
Title | Reliability modeling of mixtures of one-shot units under thermal cyclic stresses |
---|---|
Authors | |
Keywords | Generalized Birnbaum–Saunders (GBS) distribution System reliability modeling Thermal fatigue Thermal Cyclic Test (TCT) Accelerated life testing (ALT) One-shot unit |
Issue Date | 2017 |
Citation | Reliability Engineering and System Safety, 2017, v. 167, p. 58-66 How to Cite? |
Abstract | © 2017 Elsevier Ltd Modeling components’ thermal fatigue life due to cyclic temperature fluctuation based on Coffin–Mason principle has been extensively investigated. However, sparse research assesses the thermal fatigue life by providing the reliability metrics of components/systems under thermal fatigue. The Birnbaum–Saunders (BS) distribution is developed to model the unit's fatigue failure induced by mechanical stresses and provides the unit's reliability metrics. In this paper, we investigate a generalized Birnbaum–Saunders (GBS) distribution and its performance in predicting fatigue failure caused by thermal cyclic stresses. We then apply the GBS distribution to model the reliability metrics of a system with mixtures of nonhomogeneous one-shot units subject to thermal fatigue. An extensive simulation model is developed to validate the system reliability metrics accuracy. Numerical examples are presented to illustrate the use of the models. |
Persistent Identifier | http://hdl.handle.net/10722/262742 |
ISSN | 2023 Impact Factor: 9.4 2023 SCImago Journal Rankings: 2.028 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Cheng, Yao | - |
dc.contributor.author | Elsayed, Elsayed A. | - |
dc.date.accessioned | 2018-10-08T02:46:54Z | - |
dc.date.available | 2018-10-08T02:46:54Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Reliability Engineering and System Safety, 2017, v. 167, p. 58-66 | - |
dc.identifier.issn | 0951-8320 | - |
dc.identifier.uri | http://hdl.handle.net/10722/262742 | - |
dc.description.abstract | © 2017 Elsevier Ltd Modeling components’ thermal fatigue life due to cyclic temperature fluctuation based on Coffin–Mason principle has been extensively investigated. However, sparse research assesses the thermal fatigue life by providing the reliability metrics of components/systems under thermal fatigue. The Birnbaum–Saunders (BS) distribution is developed to model the unit's fatigue failure induced by mechanical stresses and provides the unit's reliability metrics. In this paper, we investigate a generalized Birnbaum–Saunders (GBS) distribution and its performance in predicting fatigue failure caused by thermal cyclic stresses. We then apply the GBS distribution to model the reliability metrics of a system with mixtures of nonhomogeneous one-shot units subject to thermal fatigue. An extensive simulation model is developed to validate the system reliability metrics accuracy. Numerical examples are presented to illustrate the use of the models. | - |
dc.language | eng | - |
dc.relation.ispartof | Reliability Engineering and System Safety | - |
dc.subject | Generalized Birnbaum–Saunders (GBS) distribution | - |
dc.subject | System reliability modeling | - |
dc.subject | Thermal fatigue | - |
dc.subject | Thermal Cyclic Test (TCT) | - |
dc.subject | Accelerated life testing (ALT) | - |
dc.subject | One-shot unit | - |
dc.title | Reliability modeling of mixtures of one-shot units under thermal cyclic stresses | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.ress.2017.05.018 | - |
dc.identifier.scopus | eid_2-s2.0-85019959865 | - |
dc.identifier.hkuros | 325685 | - |
dc.identifier.volume | 167 | - |
dc.identifier.spage | 58 | - |
dc.identifier.epage | 66 | - |
dc.identifier.isi | WOS:000412607200007 | - |
dc.identifier.issnl | 0951-8320 | - |