Analysis Of Step-stress Models: Existing Results And Some Recent Developments

Paperback | June 23, 2017

byDebasis Kundu, Ayon Ganguly

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Life testing experiments have gained popularity in recent times. The main aim of a life testing experiment is to measure one or more reliability characteristics of the product under consideration. In a classical form of a life testing experiment, a certain number of identical items are placed on the test under normal operating conditions and the time to failure of all the items are recorded. However, due to substantial improvements in technology, most of the products nowadays are quite durable and, hence, one of the major difficulties of the life testing experiments is the time duration of the experiment. Because of this, the experimenter often resorts to accelerated life testing ALT , wherein the experimental units are subject to higher stress levels than under normal operating condition, and thus increase the number of failures within an affordable experimental time. The factors which directly affect the lifetime of the product under consideration are called stress factors: for example voltage, pressure, temperature etc. could be some of the stress factors. A special case of the ALT is the step-stress life testing SSLT , which enables the experimenter to change the levels of the stress factors in a sequential manner during the experiment. The unique feature of this proposed book is that it mainly describes in detail regarding step-stress models and related topics, which has received a significant attention in the last few years. Although, two books, Bagdonavicius and Nikulin 2001 and Nelson 1990 , on general accelerated life testing models are available, no specific book is available on step-stress models. Due to the importance of this particular topic, Balakrishnan 2009 provided an excellent review for exponential step-stress models. The scope of this book is much more than that: it provides the inferential issues for different probability models both from the frequentist and Bayesian points of view, and also discussed different other related topics which have developed since then. Explains the different distributions of the Cumulative Exposure Mode Covers many different models used for step-stress analysis Discusses Step-stress life testing under competing or complementary risk model

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Life testing experiments have gained popularity in recent times. The main aim of a life testing experiment is to measure one or more reliability characteristics of the product under consideration. In a classical form of a life testing experiment, a certain number of identical items are placed on the test under normal operating conditio...

His research interests are Statistical Signal Processing, Distribution Theory and Reliability & Survival Analysis. Recipient of the Distinguished Statistician Award by the Indian Society of Probability and Statistics, 2014

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Format:PaperbackDimensions:216 pages, 8.75 × 6.35 × 0.68 inPublished:June 23, 2017Publisher:Academic PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0128097132

ISBN - 13:9780128097137

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Table of Contents

1. Introduction
2. Cumulative Exposure Model
3. Other related models
4. Optimality of step-stress life testing
5. Step-stress life testing under competing or complementary risk model
6. Miscellaneous Topics