Nuclear Power Plant Instrumentation Fault Detection Using Fuzzy Logic
Joint Authors
Source
Science and Technology of Nuclear Installations
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-09-27
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Engineering Sciences and Information Technology
Abstract EN
Economic constraints are driving the electric power industry to seek improved methods for monitoring, control, and diagnostics.
To increase plant availability, various techniques have been implemented in industry to assess equipment condition to prevent system inoperability.
The availability of a large number of measured signals and additional component information and the increasing number of signal processing options to analyze sampled data motivate the assimilation of such diverse information into a plantwide condition monitor.
The use of fuzzy logic is described herein for the purpose of performing the decision making regarding the system status and the possible need for component maintenance.
Fuzzy-logic-based diagnostic monitoring is applied to data acquired from instrumentation within operating facilities.
American Psychological Association (APA)
Holbert, Keith E.& Lin, Kang. 2012. Nuclear Power Plant Instrumentation Fault Detection Using Fuzzy Logic. Science and Technology of Nuclear Installations،Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-470888
Modern Language Association (MLA)
Holbert, Keith E.& Lin, Kang. Nuclear Power Plant Instrumentation Fault Detection Using Fuzzy Logic. Science and Technology of Nuclear Installations No. 2012 (2012), pp.1-11.
https://search.emarefa.net/detail/BIM-470888
American Medical Association (AMA)
Holbert, Keith E.& Lin, Kang. Nuclear Power Plant Instrumentation Fault Detection Using Fuzzy Logic. Science and Technology of Nuclear Installations. 2012. Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-470888
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-470888