PLAT: An Automated Fault and Behavioural Anomaly Detection Tool for PLC Controlled Manufacturing Systems
Joint Authors
Ghosh, Arup
Qin, Shiming
Lee, Jooyeoun
Wang, Gi-Nam
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-30, 30 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-11-07
Country of Publication
Egypt
No. of Pages
30
Main Subjects
Abstract EN
Operational faults and behavioural anomalies associated with PLC control processes take place often in a manufacturing system.
Real time identification of these operational faults and behavioural anomalies is necessary in the manufacturing industry.
In this paper, we present an automated tool, called PLC Log-Data Analysis Tool (PLAT) that can detect them by using log-data records of the PLC signals.
PLAT automatically creates a nominal model of the PLC control process and employs a novel hash table based indexing and searching scheme to satisfy those purposes.
Our experiments show that PLAT is significantly fast, provides real time identification of operational faults and behavioural anomalies, and can execute within a small memory footprint.
In addition, PLAT can easily handle a large manufacturing system with a reasonable computing configuration and can be installed in parallel to the data logging system to identify operational faults and behavioural anomalies effectively.
American Psychological Association (APA)
Ghosh, Arup& Qin, Shiming& Lee, Jooyeoun& Wang, Gi-Nam. 2016. PLAT: An Automated Fault and Behavioural Anomaly Detection Tool for PLC Controlled Manufacturing Systems. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-30.
https://search.emarefa.net/detail/BIM-1099584
Modern Language Association (MLA)
Ghosh, Arup…[et al.]. PLAT: An Automated Fault and Behavioural Anomaly Detection Tool for PLC Controlled Manufacturing Systems. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-30.
https://search.emarefa.net/detail/BIM-1099584
American Medical Association (AMA)
Ghosh, Arup& Qin, Shiming& Lee, Jooyeoun& Wang, Gi-Nam. PLAT: An Automated Fault and Behavioural Anomaly Detection Tool for PLC Controlled Manufacturing Systems. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-30.
https://search.emarefa.net/detail/BIM-1099584
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099584