An extended proportional hazards-proportional odds model in accelerated life testing

2009 ◽  
Author(s):  
Tingting Huang ◽  
Tongmin Jiang
Keyword(s):  
Proportional Hazards ◽  
Proportional Odds Model ◽  
Accelerated Life Testing ◽  
Life Testing ◽  
Proportional Odds ◽  
Accelerated Life

Lifetime Prediction of Product Based on Proportional Hazards-Proportional Odds Model in Accelerated Life Testing

2010 ◽  
Vol 118-120 ◽  
pp. 444-448
Author(s):  
Ting Ting Huang ◽  
Tong Min Jiang ◽  
Rui Jian Huo
Keyword(s):  
Proportional Hazards ◽  
Failure Time ◽  
High Stress ◽  
Proportional Odds Model ◽  
Accelerated Life Testing ◽  
Lifetime Prediction ◽  
Life Testing ◽  
Proportional Odds ◽  
Accelerated Life ◽  
Special Cases

Accelerated life testing can be operated in the designing process of a product to predict the lifetime of the product. The design of the product would be improved if the lifetime prediction value is not acceptable. This paper presents a method to predict lifetime of products based on proportional hazards-proportional odds model in accelerated life testing. Proportional hazards-proportional odds model makes proportional hazards model and proportional odds model special cases of it through transformation parameter. A testing system is established to process constant stress accelerated life testing for miniature bulbs under high stress levels and failure time data of the bulbs under each stress level are analyzed using proportional hazards-proportional odds model. Lifetime prediction of the miniature bulbs is presented finally.

Standard Accelerated Life Testing Model Applied to Mechanical Components

2005 ◽  
Vol 48 (1) ◽  
pp. 103-114 ◽  
Author(s):  
O. Tebbi ◽  
F. Guérin ◽  
B. Dumon
Keyword(s):  
Proportional Hazards ◽  
Operating Conditions ◽  
Accelerated Life Testing ◽  
Life Testing ◽  
Test Plan ◽  
Time Transfer ◽  
Accelerated Life ◽  
Paper Clip ◽  
Mechanical Components ◽  
Log Linear

This paper provides an overview of the application of accelerated life testing (ALT) models to mechanical components. Estimates are based upon a classical test plan using a sample system tested under accelerated conditions (not under operating conditions). The time transfer regression model is considered log-linear. The parametric model, proportional hazards (PH) model, and semiparametric model are studied. This paper illustrates an experimental example on a paper clip.

NONPARAMETRIC ACCELERATED LIFE TESTING BASED ON PROPORTIONAL ODDS MODEL

2006 ◽  
Vol 13 (04) ◽  
pp. 365-378 ◽  
Author(s):  
HAO ZHANG ◽  
ELSAYED A. ELSAYED
Keyword(s):  
Failure Rate ◽  
Failure Time ◽  
High Stress ◽  
Operating Conditions ◽  
Accelerated Life Testing ◽  
Life Testing ◽  
Proportional Odds ◽  
New Approach ◽  
Accelerated Life ◽  
Stress Levels

Accelerated life testing (ALT) is used to obtain failure time data in short duration under high stress levels in order to predict product life and performance under design conditions. The proportional hazards (PH) model, a widely used reliability prediction model, assumes constant ratio between the failure rate at high stress levels and the failure rate at the normal operating conditions. However, this assumption might be violated under some conditions and the prediction of the failure rate at normal conditions becomes inaccurate. We investigate the proportional odds (PO) model, which assumes that the odds ratio under different stress levels is constant, for accelerating life testing. In this research, we propose a nonparametric ALT approach based on the proportional odds model to predict reliability at normal operating conditions. We estimate the parameters of the proposed ALT model using the maximum likelihood estimation method. To verify the new approach, we fit the PO model with simulated failure time datasets and experimental failure data and compare its performance with the PH model. The results show that the new approach based on the PO model is a viable complement to the PH model in estimating reliability of products possessing property of converging hazard rate functions.

Sign in / Sign up

Export Citation Format

Share Document