NDLI: Reliability models of repairable systems considering the effect of operating conditions

Content Provider	IEEE Xplore Digital Library
Author	Prasad, P.V.N. Rao, K.R.M.
Copyright Year	2002
Description	Author affiliation: Osmania Univ., Hyderabad, India (Prasad, P.V.N.)
Abstract	The proportional hazard modeling is a useful technique to investigate the effects of diagnostic variables associated with a system on its life period. Most of the reliability models consider failure time as the only factor that influence reliability characteristics of a system during its operation. It is possible to include the effect of operating conditions like type of failure, stress etc. in the reliability function. These conditions when quantified are called covariates and the model is known as proportional hazard model (PHM). The proportionality of hazard rates at different covariates is the underlying assumption. Two types of failure data are studied; renewal process data and non-renewal process data. Different methods of estimation of cumulative hazard rate (CHR) function are discussed under nonparametric and parametric models. Goodness of fit tests are used to verify the assumption of PH model. Parametric models like Weibull distribution or power law process are fitted to check the results obtained using nonparametric models. The parameters of life distributions are obtained by regressing the reliability function using multiple regression analysis or by maximum likelihood estimators (MLEs). The study involves failure data of an electro-mechanical equipment in all underground coal mine and failure times of a small DC motor in accelerated life testing using PHM techniques to assess their failure behavior at different operating conditions. The study also involves evaluation of optimum preventive maintenance interval in a thermal power unit based on graphical methods using PH models.
Starting Page	503
Ending Page	510
File Size	731531
Page Count	8
File Format	PDF
ISBN	0780373480
ISSN	0149144X
DOI	10.1109/RAMS.2002.981694
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-01-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hazards Prognostics and health management Parametric statistics Life estimation Stress Testing Weibull distribution Regression analysis Maximum likelihood estimation DC motors
Content Type	Text
Resource Type	Article

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