scholarly journals Failure time distributions for complex equipment

2018 ◽  
Vol 35 (1) ◽  
pp. 146-154
Author(s):  
David H. Collins ◽  
Richard L. Warr
Keyword(s):  
Failure Time ◽  
Complex Equipment ◽  
Failure Time Distributions

The effect of intermittent exposure to risk on failure time distributions

1974 ◽  
Vol 11 (2) ◽  
pp. 310-319 ◽  
Author(s):  
Valerie Isham
Keyword(s):  
At Risk ◽  
Failure Time ◽  
Intermittent Exposure ◽  
Failure Time Distributions

The relation is investigated between the distributions of the total time until failure and the time of exposure to risk until failure, for individuals who are at risk only intermittently during their lifetimes. A specific example is considered in the case of computer failures.

The effect of intermittent exposure to risk on failure time distributions

1974 ◽  
Vol 11 (02) ◽  
pp. 310-319
Author(s):  
Valerie Isham
Keyword(s):  
At Risk ◽  
Failure Time ◽  
Intermittent Exposure ◽  
Failure Time Distributions

The relation is investigated between the distributions of the total time until failure and the time of exposure to risk until failure, for individuals who are at risk only intermittently during their lifetimes. A specific example is considered in the case of computer failures.

On the limiting distribution of the failure time of fibrous materials

1983 ◽  
Vol 15 (02) ◽  
pp. 331-348
Author(s):  
Wagner De Souza Borges
Keyword(s):  
Materials Science ◽  
Failure Time ◽  
Large Deviation ◽  
Limiting Distribution ◽  
Statistical Characteristics ◽  
Fibrous Materials ◽  
Large Deviation Theorem ◽  
Science Area ◽  
The Individual ◽  
Failure Time Distributions

A large deviation theorem of the Cramér–Petrov type and a ranking limit theorem of Loève are used to derive an approximation for the statisticaldistribution of the failure time of fibrous materials. For that, fibrousmaterials are modeled as a series of independent and identical bundles of parallel filaments and the asymptotic distribution of their failure time is determined in terms of statistical characteristics of the individual filaments, as both the number of filaments in each bundle and the number of bundles in the chain grow large simultaneously. While keeping the numbernof filaments in each bundle fixed and increasing only the chain lengthkleads to a Weibull limiting distribution for the failure time, letting both increase in such a way that logk(n)= o(n), we show that the limit distribution isfor. Since fibrous materials which are both long and have many filaments prevail, the result is of importance in the materials science area since refined approximations to failure-time distributions can be achieved.

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