ARTIFICIAL NEURAL NETWORKS IN FAULT-DIAGNOSIS AND CONTROL

Authors
KOIVO HN
Citation
Hn. Koivo, ARTIFICIAL NEURAL NETWORKS IN FAULT-DIAGNOSIS AND CONTROL, Control engineering practice, 2(1), 1994, pp. 89-101
Citations number
46
Categorie Soggetti
Controlo Theory & Cybernetics","Robotics & Automatic Control
Journal title
Control engineering practice → ACNP
ISSN journal
09670661
Volume
2
Issue
1
Year of publication
1994
Pages
89 - 101
Database
ISI
SICI code
0967-0661(1994)2:1<89:ANNIFA>2.0.ZU;2-N
Abstract
Artificial neural networks are an extensively researched field. Their application in automation area has also become more common. This paper presents the neural network architectures most widely used in practic e and summarizes results in static and dynamic fault diagnosis, and co ntrol. Applications to paper machine web breaks and real-time control highlight the paper.