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

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cauda-equina

Misspecification Analysis of Gamma with Inverse Gaussian Degradation Processesa, we investigate the misspecification effect on the prediction of product’s mean time to failure (MTTF) when the degradation model is wrongly fitted. Assuming the true model comes from gamma degradation process, but wrongly treated as inverse Gaussian degradation process, we first derive an analyti

大喘氣

Ptsd429

Statistical Methods for Thermal Index Estimation Based on Accelerated Destructive Degradation Test Dapplications, the accelerating variable is temperature. In such cases, a thermal index (TI) is used to indicate the strength of the material. For example, a TI of 200?.C may be interpreted as the material can be expected to maintain a specific property at a temperature of 200?.C for 100,000?h. A mat

grounded

Inference on Remaining Useful Life Under Gamma Degradation Models with Random Effectsg useful life is one of the vital indexes to yield an advance warning of impending failure in a system, thereby helping in executing preventive actions prior to failure occurrence and helping in making maintenance decisions. To obtain precise statistical inference on the remaining useful life, we co

Acupressure

: An R Package for Analysis of Accelerated Destructive Degradation Test Datals. Based on the data, a thermal index (TI) is estimated. The TI can be useful for material rating and comparisons. The R package . provides the functionalities of performing the traditional method based on the least-squares method, the parametric method based on maximum likelihood estimation, and t

諂媚于性

Slit-Lamp

State Space Models Based Prognostic Methods for Remaining Useful Life Prediction of Rechargeable Batcycling and some significant battery degradation factors, such as discharge rate, temperature, depth of charge, etc., on battery health condition, battery degrades over time. In this chapter, several state space models based prognostic methods are proposed to predict battery remaining useful life. F

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Hierarchical Bayesian Change-Point Analysis for Nonlinear Degradation Dataindicate that reliability estimation can be improved substantially by using the change-point model to account for product burn-in. Based on the hierarchical Bayesian change-point degradation model, degradation-based burn-in tests are devised according to a reliability criterion or a cost criterion.

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Gamma Degradation Models: Inference and Optimal Designls based on gamma processes under different tests are also given. Furthermore, the corresponding optimal designs for conducting the degradation experiments efficiently are reviewed. Finally, some extensions and their applications of gamma-process degradation model are presented.