Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)

Optimization of Inspection Schedule for Hidden-Function Systems

Authors
Xiaoli Zou
Corresponding Author
Xiaoli Zou
Available Online March 2017.
DOI
10.2991/emcs-17.2017.37How to use a DOI?
Keywords
Hidden-function system;Inspection of hidden failure; Cost model; Optimal policy
Abstract

An optimal model for determining minimum-cost inspection schedules for hidden-function systems is presented. The probabilities of the hidden-function system failure as well as the failure of the object the system intends to protect are taken into account to develop this model. Through balancing the cost of multiple failure against the cost of planned inspection, an optimal policy is established which minimizes the expected total cost. As an example, the calculation results for a hidden-function system with Weibull failure distribution are given.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)
Series
Advances in Computer Science Research
Publication Date
March 2017
ISBN
978-94-6252-335-7
ISSN
2352-538X
DOI
10.2991/emcs-17.2017.37How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiaoli Zou
PY  - 2017/03
DA  - 2017/03
TI  - Optimization of Inspection Schedule for Hidden-Function Systems
BT  - Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)
PB  - Atlantis Press
SP  - 187
EP  - 190
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-17.2017.37
DO  - 10.2991/emcs-17.2017.37
ID  - Zou2017/03
ER  -