Detection of Temporal Anomalies for Partially Observed Timed PNs
Author
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-04-12
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
This article concerns faults detection and isolation for timed stochastic discrete event systems modeled with partially observed timed Petri nets.
Events occur according to arbitrary probability density functions.
The models include the sensors used to measure events and markings and also the temporal constraints to be satisfied by the system operations.
These temporal constraints are defined according to tolerance intervals specified for each transition.
A fault is an operation that ends too early or too late.
The set of trajectories consistent with a given timed measured trajectory is first computed.
Then, the probability that the temporal specifications are unsatisfied is estimated for any sequence of measurements and the probability that a temporal fault has occurred is obtained as a consequence.
American Psychological Association (APA)
Lefebvre, Dimitri. 2017. Detection of Temporal Anomalies for Partially Observed Timed PNs. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1189947
Modern Language Association (MLA)
Lefebvre, Dimitri. Detection of Temporal Anomalies for Partially Observed Timed PNs. Mathematical Problems in Engineering No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1189947
American Medical Association (AMA)
Lefebvre, Dimitri. Detection of Temporal Anomalies for Partially Observed Timed PNs. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1189947
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1189947