An Introduction to ALT Planning (加速寿命试验计划简介)

Rong Pan
Dr. Rong Pan is an Associate Professor of Industrial Engineering at Arizona State University. He received his doctoral degree in Industrial Engineering from Penn State University in 2002. He has been working at Arizona State University since 2006. Before that, he was an assistant professor at the University of Texas at El Paso. His research interests include failure time data analysis, design of more


Accelerated life tests (ALTs) are employed to generate failure time data at higher-than-normal-use stress levels. ALT planning is critical for achieving statistical efficiency and reducing experimental cost through design of experiments (DOE). In this talk, I will describe a real world example of ALT planning and its impact on decision making. I will present models for regression with failure time data, including exponential and Weibull regression. Censoring, which is present in many life testing experiments, and its effect on regression models is discussed. Graphical methods for data analysis of life testing experiments are discussed, as well as the software for ALT planning and data analysis.

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