Published February 2016 | Version v1
Journal article

A fault diagnosis method based on signed directed graph and matrix for nuclear power plants

  • 1. Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University, Harbin 150001 (China)
  • 2. Institute of Nuclear Energy Technology, Tsinghua University, Beijing 100084 (China)
  • 3. Traffic College, Northeast Forestry University, Harbin, 150040 (China)

Description

Highlights: • "Rules matrix" is proposed for FDD. • "State matrix" is proposed to solve SDG online inference. • SDG inference and search method are combined for FDD. - Abstract: In order to solve SDG online fault diagnosis and inference, matrix diagnosis and inference methods are proposed for fault detection and diagnosis (FDD). Firstly, "rules matrix" based on SDG model is used for FDD. Secondly, "status matrix" is proposed to achieve SDG online inference. According to different diagnosis results, "status matrix" is applied for the depth-first search and the breadth-first search respectively to find the propagation paths of each fault. Finally, the SDG model of the secondary-loop system in pressurized water reactor (PWR) is built to verify the effectiveness of the proposed method. The simulation experiment results indicate that the "status matrix" used for online inference can be used to find the fault propagation paths and to explain the causes for fault. Therefore, it can be concluded that the proposed method is one of the fault diagnosis for nuclear power plants (NPPs), which can be used to facilitate the development of fault diagnostic system.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.nucengdes.2015.11.016

Additional details

Identifiers

DOI
10.1016/j.nucengdes.2015.11.016;
PII
S0029-5493(15)00546-4;

Publishing Information

Journal Title
Nuclear Engineering and Design
Journal Volume
297
Journal Page Range
p. 166-174
ISSN
0029-5493
CODEN
NEDEAU

Optional Information

Copyright
Copyright (c) 2015 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.