Titlebook: Statistical Modeling for Degradation Data; Ding-Geng (Din) Chen,Yuhlong Lio,Tzong-Ru Tsai Book 2017 Springer Nature Singapore Pte Ltd. 201

步履蹣跚

Degradation-Based Reliability Modeling of Complex Systems in Dynamic Environmentsindicators, and (2) how to incorporate the effects of dynamic environments. To advance the research on degradation modeling and analysis of complex systems, this paper presents a summary of the state of the arts on the research of reliability modeling of complex systems by taking account of these tw

AFFIX

Optimal Designs for LED Degradation Modeling the lifetime distribution of light emitting diodes is addressed, and approximate lower confidence bounds of the lifetime percentiles are evaluated using the Fisher information of maximum likelihood estimators. Based on the obtained maximum likelihood estimates of the model parameters, an optimal st

和諧

STIT

Statistical Methods for Thermal Index Estimation Based on Accelerated Destructive Degradation Test Dhensive simulation studies to show the properties of different methods. We provide thorough discussions on the pros and cons of each method. The comparisons and discussion in this chapter can be useful for practitioners and future industrial standards.

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circuit

Stochastic Accelerated Degradation Models Based on a Generalized Cumulative Damage Approach models with accelerating explanatory variables. By using a generalized cumulative damage approach with a stochastic process describing degradation, we develop stochastic accelerated degradation models which handle failure data consisting of both hard and soft failures.

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錢財(cái)

Spinal-Tap

A Survey of Modeling and Application of Non-destructive and Destructive Degradation Testsion tests. In this chapter, we discuss a number of these two types of degradation models that have been developed in the literature to describe the degradation paths of products. In addition, some applications of degradation models of these two classes are also discussed.