Abstract
Recently, Cao et al. considered the mean availability of a system that has multiple failure modes. Thus led to the creation of a formula for the mean availability of systems with multiple failure modes (i.e., random and wear-out failure modes). The formula of the mean availability derived by Cao et al. requires an exact distribution function of failure-time distribution that wear-out failures follow. However, there are often cases where information such as average and standard deviation are only known, and the exact distribution function isn't specified. In this article, under limited information such as average and standard deviation about wear-out failure mode, we address a procedure for evaluating the mean availability of a system that has random failure and wear-out failure modes.
| Original language | English |
|---|---|
| Pages (from-to) | 101-108 |
| Number of pages | 8 |
| Journal | Journal of Japan Industrial Management Association |
| Volume | 56 |
| Issue number | 2 |
| Publication status | Published - 2005 |
| Externally published | Yes |
Fingerprint
Keywords
- Failure-time distribution
- Mean availability
- Mixing Erlang distribution
- Multiple failure modes
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering
- Engineering (miscellaneous)
Cite this
System availability analysis with two failure modes of random failure and wear-out failure. / Takamori, Kayoko; Nakase, Ippei; Takemoto, Yasuhiko; Arizono, Ikuo.
In: Journal of Japan Industrial Management Association, Vol. 56, No. 2, 2005, p. 101-108.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - System availability analysis with two failure modes of random failure and wear-out failure
AU - Takamori, Kayoko
AU - Nakase, Ippei
AU - Takemoto, Yasuhiko
AU - Arizono, Ikuo
PY - 2005
Y1 - 2005
N2 - Recently, Cao et al. considered the mean availability of a system that has multiple failure modes. Thus led to the creation of a formula for the mean availability of systems with multiple failure modes (i.e., random and wear-out failure modes). The formula of the mean availability derived by Cao et al. requires an exact distribution function of failure-time distribution that wear-out failures follow. However, there are often cases where information such as average and standard deviation are only known, and the exact distribution function isn't specified. In this article, under limited information such as average and standard deviation about wear-out failure mode, we address a procedure for evaluating the mean availability of a system that has random failure and wear-out failure modes.
AB - Recently, Cao et al. considered the mean availability of a system that has multiple failure modes. Thus led to the creation of a formula for the mean availability of systems with multiple failure modes (i.e., random and wear-out failure modes). The formula of the mean availability derived by Cao et al. requires an exact distribution function of failure-time distribution that wear-out failures follow. However, there are often cases where information such as average and standard deviation are only known, and the exact distribution function isn't specified. In this article, under limited information such as average and standard deviation about wear-out failure mode, we address a procedure for evaluating the mean availability of a system that has random failure and wear-out failure modes.
KW - Failure-time distribution
KW - Mean availability
KW - Mixing Erlang distribution
KW - Multiple failure modes
UR - http://www.scopus.com/inward/record.url?scp=23844445263&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=23844445263&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:23844445263
VL - 56
SP - 101
EP - 108
JO - Journal of Japan Industrial Management Association
JF - Journal of Japan Industrial Management Association
SN - 0386-4812
IS - 2
ER -