Bayesian estimation and prediction for the transformed Wiener degradation process-Reference-Cited by-同舟云学术

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Bayesian estimation and prediction for the transformed Wiener degradation process

Published:2020-02-27 Issue:4 Volume:36 Page:660-678
ISSN:1524-1904
Container-title:Applied Stochastic Models in Business and Industry
language:en
Short-container-title:Appl Stochastic Models Bus Ind

Author:

Giorgio Massimiliano¹^ORCID,Postiglione Fabio²^ORCID,Pulcini Gianpaolo³^ORCID

Affiliation:

1. Department of Industrial EngineeringUniversity of Naples Federico II Napoli Italy

2. Department of Information and Electrical Engineering and Applied MathematicsUniversity of Salerno Fisciano Italy

3. Istituto MotoriNational Research Council (CNR) Rome Italy

Publisher

Wiley

Subject

Management Science and Operations Research,General Business, Management and Accounting,Modelling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asmb.2522

Reference17 articles.

1. Wiener processes with random effects for degradation data

2. A Wiener-process-based degradation model with a recursive filter algorithm for remaining useful life estimation

3. Degradation Data Analysis Using Wiener Processes With Measurement Errors

4. An Age- and State-Dependent Nonlinear Prognostic Model for Degrading Systems

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Wiener Process with a Random Non-Monotone Hazard Rate-Based Drift;Mathematics;2024-08-23

2. Statistics for Experimental and Technological Research;Springer Aerospace Technology;2024

3. Modeling left-truncated degradation data using random drift-diffusion Wiener processes;Quality Technology & Quantitative Management;2023-03-15

4. Regime-Switching Model With Adaptive Adjustments for Degradation Prognosis;IEEE Transactions on Instrumentation and Measurement;2023

5. Bayesian analysis for the transformed exponential dispersion process with random effects;Reliability Engineering & System Safety;2022-01

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