Dec 6, 2022 · Gamma process has been extensively used to model monotone degradation data. Statistical inference for the gamma process is difficult due to the complex parameter structure …

Dec 7, 2022 · In addition to being a model of degradation, the gamma process also serves as a powerful model in other elds, such as statistical process control (Hsu et al., 2008; Piao and Zhi-Sheng, 2018), …

In the field of reliability engineering, the gamma process plays an important role in modeling degradation processes. However, extracting lifetime information from product degradation observations has long …

In this paper, motivated by the degradation data from the tests of N-channel power metal oxide semiconductor field-effect transistor (MOSFET), we propose a two-phase gamma process under …

The stochastic process models are treated to estimate reliability assessments for degradation phenomena. In particular, the geometric Brownian motion and the gamma process models are …

erarchical Bayesian framework to model the monotonic and non-smooth degradation data. A simulation study is performed to verify the utility of the proposed model under three scenarios. An illustrative …

Mar 1, 2022 · In this paper, a gamma process based degradation model is developed for the bivariate dependent degradation data, where the dependency between the two degradation processes is …

Dec 1, 2021 · To quantify the economic value of an inspection and preventive replacement (I–PR) program, the paper presents the Bayesian pre-posterior analysis involving the gamma process as a …

The stochastic process models are treated to esti-mate reliability assessments for degradation phenom-ena. In particular, the geometric Brownian motion and the gamma process models are handled, and …

Sep 11, 2023 · The multi-random-effects gamma process has a better characterization effect for degraded data with individual differences. In this paper, a reliability evaluation method for gamma …