Title :
A neural network in an expert diagnostic system
Author_Institution :
Istituto Nazionale di Fisica Nucl., Bologna, Italy
fDate :
4/1/1992 12:00:00 AM
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;
Journal_Title :
Nuclear Science, IEEE Transactions on
