A neural network in an expert diagnostic system

Author

D´Antone, I.

Author_Institution

Istituto Nazionale di Fisica Nucl., Bologna, Italy

Volume

39

Issue

2

fYear

1992

fDate

4/1/1992 12:00:00 AM

Firstpage

58

Lastpage

62

Abstract

A neural network was applied for fault diagnosis in a calorimeter, an energy and position detector of high energy particles, composed of tubes assembled in planes, each of which is fired when a particle crosses it. By analyzing the histogram of the number of hits per plane, the network was able to diagnose some types of malfunction of the read-out electronics for each plane and was able to inform the expert system, which in turn took suitable action. The network architecture, the learning algorithm used, the fault classification, and experimental results are given

Keywords

calorimeters; expert systems; failure analysis; neural nets; nuclear electronics; physics computing; position sensitive particle detectors; calorimeter; experimental results; expert diagnostic system; fault classification; fault diagnosis; high energy particles; histogram; learning algorithm; malfunction; network architecture; neural network; planes; position detector; read-out electronics; tubes; Artificial neural networks; Detectors; Diagnostic expert systems; Fault detection; Fault diagnosis; Histograms; Intelligent networks; Neural networks; Pattern recognition; Sensor systems;

fLanguage

English

Journal_Title

Nuclear Science, IEEE Transactions on

Publisher

ieee

ISSN

0018-9499

Type

jour

DOI

10.1109/23.277461

Filename

277461