DocumentCode :
3514246
Title :
Equipment reliability estimation of complete samples under varied environment
Author :
Hu, Yao ; Yang, Mei
Author_Institution :
Dept. of Math., Guizhou Univ., Guiyang, China
fYear :
2009
fDate :
20-24 July 2009
Firstpage :
333
Lastpage :
338
Abstract :
The article studies the reliability estimation of normal, lognormal, exponential and Weibull´s equipment lifetime complete samples of varied environment. Under different environment conditions, one equipment shows different reliability. When the environment condition changes, the equipment reliability becomes a function of the environment, which is called a reliability curve. Given the estimation of the reliability curve, one can predict the equipment reliability for unknown environment. This paper gives the reliability estimator at lifetime parameter function of environment indictor under the conditions of sigma and shape or slope parameter fixed. The strong consistency of estimator is proved by using probability and statistics methods. Meanwhile the computer simulation shows that the estimate method is practical.
Keywords :
Weibull distribution; exponential distribution; log normal distribution; reliability theory; Weibull equipment lifetime; environmental condition; equipment reliability estimation; exponential equipment lifetime; lifetime parameter function; lognormal equipment lifetime; normal equipment lifetime; probability method; reliability curve; statistics; Computer simulation; Distribution functions; Life estimation; Lifetime estimation; Mathematics; Reliability engineering; Shape; Systems engineering and theory; Tellurium; Weibull distribution; complete samples; lifetime distributions; reliability estimation; strong consistency; varied environment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reliability, Maintainability and Safety, 2009. ICRMS 2009. 8th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4903-3
Electronic_ISBN :
978-1-4244-4905-7
Type :
conf
DOI :
10.1109/ICRMS.2009.5270176
Filename :
5270176
Link To Document :
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