Stochastic modelling and analysis of degradation for highly reliable products

624 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Machinery health prognostics: A systematic review from data acquisition to RUL prediction (2018, background): “There have been some reviews [10,199] summarizing the statistical model-based approaches systematically.”
A comprehensive review of digital twin — part 1: modeling and twinning enabling technologies (2022, methodology): “, 2016), Wiener process, Poisson process, inverse Gaussian process, Gamma process, and accelerated life testing (ALT) models (Hu and Mourelatos, 2018), have been developed for degradation modeling of single degradation mechanisms (Ye and Xie, 2015; Gorjian et al., 2010).”
Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators (2018, background): “[21] Z.-S. Ye and M. Xie, ‘‘Stochastic modelling and analysis of degradation for highly reliable products,’’ Appl.”
RUL Prediction of Deteriorating Products Using an Adaptive Wiener Process Model (2017, methodology): “The simplicity and good applicability of the Wiener process model make it one of the most popular models for degradation modeling [2], [24], [26]–[31].”