Degradation Data Analysis Using Wiener Processes With Measurement Errors
By Z. Ye, Yu Wang, Kwok Leung Tsui, Michael G. Pecht. IEEE Transactions on Reliability, 2013
354 citations recorded by the source corpus.
Subfields: Safety, Risk, Reliability and Quality, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/38c17c63773ade79c547d4a3a3cad0af9017189d
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In Safety, Risk, Reliability and Quality
In Statistics and Probability
Citations in the corpus
- A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem (2016, background): “proposed a new model of Wiener process considering the heterogeneities degradation rates among the product units [28].”
- Remaining Useful Life Prediction of Lithium-Ion Batteries Based on the Wiener Process with Measurement Error (2014, methodology): “The work about this Bayesian updating mechanism for the WPME is also been studied in [41].”
- 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].”
- Stochastic modelling and analysis of degradation for highly reliable products (2015, methodology): “[9, 10] made up this deficiency and proposed a new inference procedure based on the EM algorithm.”