NDLI: Automatic model separation and application for diagnosis in industrial automation systems

Content Provider	IEEE Xplore Digital Library
Author	Windmann, S. Niggemann, O.
Copyright Year	2015
Description	Author affiliation: Fraunhofer IOSB-INA, Lemgo, Germany (Windmann, S.; Niggemann, O.)
Abstract	In this paper, automatic separation of hybrid system models for industrial automation systems is considered. The proposed method facilitates efficient separation of systemlevel models into component-level models. Such component-level models allow for model-based diagnosis, since a close relation exists between anomalies on a component-level and fault causes. The approach is based on the concept of separation variables, which relate models for components such as electric drives to system modes, i.e. phases of continuous system behaviour. For automation systems, the system modes are defined by sequences of discrete control events. Separation variables determine active components for each system mode, which contribute to the overall output signal on the system-level. System modes and separation variables are automatically learned from training data with normal system behaviour. The proposed method allows both model-based diagnosis and efficient model learning.
Starting Page	1845
Ending Page	1850
File Size	3206287
Page Count	6
File Format	PDF
ISBN	9781479978007
DOI	10.1109/ICIT.2015.7125365
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-03-17
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hidden Markov models Learning automata Power demand Mathematical model Data models Automation Optimization
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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