An algorithm to diagnose manufacturing hybrid systems
by Omaima Benatia; Fouad Belmajdoub
International Journal of Automation and Control (IJAAC), Vol. 13, No. 3, 2019

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.

Online publication date: Thu, 28-Mar-2019

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Automation and Control (IJAAC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com