Title: An algorithm to diagnose manufacturing hybrid systems

Authors: Omaima Benatia; Fouad Belmajdoub

Addresses: Department of Industrial Engineering, Faculty of Science and Technology (FSTF), Laboratory of Industrial Techniques (LIT), Fez, Morocco ' Department of Industrial Engineering, Faculty of Science and Technology (FSTF), Laboratory of Industrial Techniques (LIT), Fez, Morocco

Abstract: We propose in this paper a new method for diagnosing manufacturing hybrid systems. We are inspired by two methods: one is based on continuous Petri nets and the other is based on discrete Petri nets. The combination of these two methods will be based on hybrid Petri nets. Our approach is proposed in the form of an algorithm that treats the different steps to diagnose a manufacturing hybrid system whose discrete part controls the continuous part. We consider that the set of fault classes is partitioned into two subsets: continuous fault classes and discrete fault classes.

Keywords: diagnosis; manufacturing hybrid systems; discrete Petri nets; continuous Petri nets; hybrid Petri nets; fault classes; continuous fault classes; discrete fault classes.

DOI: 10.1504/IJAAC.2019.098582

International Journal of Automation and Control, 2019 Vol.13 No.3, pp.374 - 386

Received: 22 Mar 2017
Accepted: 20 Sep 2017
Published online: 28 Mar 2019 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article