hig.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Masked data analysis for storage reliability model with initial failures
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Industrial economics. University of Gävle, Center for Logistics and Innovative Production.
School of Mathematics and Physics, Anhui University of Technology, Maanshan, China.
Faculty of Information Engineering, Guizhou Institute of Technology, Guiyang, China.
2018 (English)In: Safety and Reliability - Safe Societies in a Changing World - Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018 / [ed] Stein Haugen, Anne Barros, Coen van Gulijk, Trond Kongsvik, Jan Erik Vinnem, CRC Press/Balkema , 2018, p. 2565-2572Conference paper, Published paper (Refereed)
Abstract [en]

Storage reliability is of importance for the products that largely stay in storage in their total life-cycle such as warning systems for harmful radiation detection, rescue systems, many kinds of defense systems, etc. The storage reliability of a product is commonly defined as the probability that the product can perform its specific function for a period of specific storage time under specific storage environment. Logically, the failures of the product in storage should be identified with the same criteria as in its operation process. However, the failure data in storage may be observed indirectly through the maintenance or inspection activities. Nevertheless, when the storage reliability is concerned in general, the reliability model should take into consideration the possibility that the operational reliability does not start at 100%, for example, the one-shot product may have only 96% operational reliability when they are newly produced. In this paper, the storage reliability model with possibly initial failures, which are usually neglected at the beginning of storage in most of storage models, is studied on the statistical analysis method when the masked data are observed. The parametric estimation procedure, based on the Least Squares method, is developed generally by applying an EM-like (Expectation and Maximization) algorithm for the storage data in which some information about which components have caused the system failures is not known, namely the failure data are masked. The estimates of the model parameters including the initial reliability are formalized. In the case of exponentially distributed storage lifetime and series system, a numerical example is provided to illustrate the method and procedure though the method is not limited to such case. The results should be useful for planning a storage environment, decision-making concerning the maximum length of storage, maintenance strategy optimization and identifying the production quality.

Place, publisher, year, edition, pages
CRC Press/Balkema , 2018. p. 2565-2572
Keywords [en]
Decision making, Failure (mechanical), Least squares approximations, Life cycle, Numerical methods, Parameter estimation, Reliability analysis, Systems engineering, Distributed storage, Inspection activities, Least squares methods, Maintenance strategies, Operational reliability, Parametric estimation, Radiation detection, Statistical analysis methods, Digital storage
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:hig:diva-29065Scopus ID: 2-s2.0-85058104878ISBN: 978-0-8153-8682-7 (electronic)OAI: oai:DiVA.org:hig-29065DiVA, id: diva2:1275839
Conference
ESREL 2018, June 17-21, 2018, Trondheim, Norway
Available from: 2019-01-07 Created: 2019-01-07 Last updated: 2019-01-07Bibliographically approved

Open Access in DiVA

No full text in DiVA

Scopus

Authority records BETA

Zhao, Ming

Search in DiVA

By author/editor
Zhao, Ming
By organisation
Industrial economicsCenter for Logistics and Innovative Production
Other Engineering and Technologies

Search outside of DiVA

GoogleGoogle Scholar

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 11 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf