Stochastic DES Fault Diagnosis with Coloured Interpreted Petri Nets
Joint Authors
Muñoz, Doyra Mariela
García, Emilio
Correcher, Antonio
Morant, Francisco
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-17
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
This proposal presents an online method to detect and isolate faults in stochastic discrete event systems without previous model.
A coloured timed interpreted Petri Net generates the normal behavior language after an identification stage.
The next step is fault detection that is carried out by comparing the observed event sequences with the expected event sequences.
Once a new fault is detected, a learning algorithm changes the structure of the diagnoser, so it is able to learn new fault languages.
Moreover, the diagnoser includes timed events to represent and diagnose stochastic languages.
Finally, this paper proposes a detectability condition for stochastic DES and the sufficient and necessary conditions are proved.
American Psychological Association (APA)
Muñoz, Doyra Mariela& Correcher, Antonio& García, Emilio& Morant, Francisco. 2015. Stochastic DES Fault Diagnosis with Coloured Interpreted Petri Nets. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1073465
Modern Language Association (MLA)
Muñoz, Doyra Mariela…[et al.]. Stochastic DES Fault Diagnosis with Coloured Interpreted Petri Nets. Mathematical Problems in Engineering No. 2015 (2015), pp.1-13.
https://search.emarefa.net/detail/BIM-1073465
American Medical Association (AMA)
Muñoz, Doyra Mariela& Correcher, Antonio& García, Emilio& Morant, Francisco. Stochastic DES Fault Diagnosis with Coloured Interpreted Petri Nets. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-13.
https://search.emarefa.net/detail/BIM-1073465
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073465