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The application of neural networks for fault diagnosis in nuclear reactors

Miscellaneous:

Abstract

In recent years considerable work have been done in the field of neural networks due to the recent development of effective learning algorithms, and the results of their applications have suggested that they can provide useful tools for solving practical problems. Artificial neural networks are mathematical models of theorized mind and brain activity. They are aimed to explore and reproduce human information processing tasks such as speech, vision, knowledge processing and control. The possibility of using artificial neural networks for fault and accident diagnosis in the Loss Of Fluid Test (LOFT) reactor, a small scale pressurised water reactor, is examined and explained in the paper. (author).
Publication Date:
Nov 01, 1990
Product Type:
Miscellaneous
Report Number:
INIS-GB-376; RR-411.
Reference Number:
SCA: 210200; PA: AIX-23:015027; SN: 92000646941
Resource Relation:
Other Information: PBD: Nov 1990
Subject:
21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS; LOFT REACTOR; FAULT TREE ANALYSIS; NEURAL NETWORKS; ALGORITHMS; MATHEMATICAL MODELS; REACTOR ACCIDENTS; 210200; POWER REACTORS, NONBREEDING, LIGHT-WATER MODERATED, NONBOILING WATER COOLED
OSTI ID:
10113080
Research Organizations:
Sheffield Univ. (United Kingdom)
Country of Origin:
United Kingdom
Language:
English
Other Identifying Numbers:
Other: ON: DE92615107; TRN: GB9104740015027
Availability:
OSTI; NTIS (US Sales Only); INIS
Submitting Site:
GBN
Size:
19 p.
Announcement Date:
Jun 30, 2005

Miscellaneous:

Citation Formats

Jalel, N A, and Nicholson, H. The application of neural networks for fault diagnosis in nuclear reactors. United Kingdom: N. p., 1990. Web.
Jalel, N A, & Nicholson, H. The application of neural networks for fault diagnosis in nuclear reactors. United Kingdom.
Jalel, N A, and Nicholson, H. 1990. "The application of neural networks for fault diagnosis in nuclear reactors." United Kingdom.
@misc{etde_10113080,
title = {The application of neural networks for fault diagnosis in nuclear reactors}
author = {Jalel, N A, and Nicholson, H}
abstractNote = {In recent years considerable work have been done in the field of neural networks due to the recent development of effective learning algorithms, and the results of their applications have suggested that they can provide useful tools for solving practical problems. Artificial neural networks are mathematical models of theorized mind and brain activity. They are aimed to explore and reproduce human information processing tasks such as speech, vision, knowledge processing and control. The possibility of using artificial neural networks for fault and accident diagnosis in the Loss Of Fluid Test (LOFT) reactor, a small scale pressurised water reactor, is examined and explained in the paper. (author).}
place = {United Kingdom}
year = {1990}
month = {Nov}
}