Bayesian Network–Based Fault Diagnostic System for Nuclear Power Plant Assets-Reference-Cited by-同舟云学术

Bayesian Network–Based Fault Diagnostic System for Nuclear Power Plant Assets

Published:2023-01-18 Issue:3 Volume:209 Page:401-418
ISSN:0029-5450
Container-title:Nuclear Technology
language:en
Short-container-title:Nuclear Technology

Author:

Zhao Xingang¹^ORCID,Wang Xinyan²,Golay Michael W.²

Affiliation:

1. Oak Ridge National Laboratory, Nuclear Energy and Fuel Cycle Division, Oak Ridge, Tennessee

2. Massachusetts Institute of Technology, Department of Nuclear Science and Engineering, Cambridge, Massachusetts

Funder

Nuclear Energy Enabling Technologies

Publisher

Informa UK Limited

Subject

Condensed Matter Physics,Nuclear Energy and Engineering,Nuclear and High Energy Physics

Link

https://www.tandfonline.com/doi/pdf/10.1080/00295450.2022.2142445

Reference38 articles.

1. Prognostics and Health Management in Nuclear Power Plants: An Updated Method-Centric Review With Special Focus on Data-Driven Methods

2. B. YILDIZ, “Development of a Hybrid Intelligent System for On-Line Real-Time Monitoring of Nuclear Power Plant Operations,” PhD Thesis, Massachusetts Institute of Technology, Department of Nuclear Engineering (2003).

3. Bayesian network method for fault diagnosis of civil aircraft environment control system

4. Bayesian Network Modelling for the Wind Energy Industry: An Overview

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