NDLI: Analysis of frequent episodes in sequences of incidents collected in power distribution systems

Content Provider	IEEE Xplore Digital Library
Author	Quiroga, O. Melendez, J. Herraiz, S. Ferreira, A. Munoz, A.
Copyright Year	2011
Description	Author affiliation: Institute of Informatics and Applications, University of Girona, 17071, Spain (Quiroga, O.; Melendez, J.; Herraiz, S.) \|\| INDRA Sistemas, S.A., Av. de Bruselas 35, 28108 Alcobendas, Madrid, Spain (Ferreira, A.; Munoz, A.)
Abstract	Power distribution incidents collected by the electric utility through their customer service centers and incident management systems are analyzed systematically in this work. An incident is defined by the actions carried out by the utility to return the system to its normal operation when a failure occurrs. A sequence of incidents is a set of dated incidents recorded in a region or a network during a period of time, but only some subsets of them are of interest, either because they present similar features or because they are related in a way that allows them to be considered together (timing, periodicity, etc.). These subsets of significant incidents in a sequence are called episodes and are instances of possible patterns that define the behaviour of the system. The analysis is oriented to extract useful information from sequences of historical data to recognize relevant episodes that show a pattern of behaviour which could be useful to forecast future incidents or assist planning and operation. With this goal, the authors evaluate the use of a pattern discovery algorithm in sequences of incidents gathered in a network as part of the case study. Since the incidents can occur by random factors not all the frequent episodes that can be found are relevant. Then, it is proposed a methodology based on set theory to choose the relevant episodes which are especially useful to recognize outstanding episodes in sequences that have high randomness, which is the case of sequences of incidents in electrical networks.
Starting Page	1
Ending Page	7
File Size	186514
Page Count	7
File Format	PDF
ISBN	9781457714221
ISSN	21654824
e-ISBN	9781457714214
e-ISBN	9781457714207
DOI	10.1109/ISGTEurope.2011.6162727
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-05
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer aided software engineering Customer services Power quality Sequence of incidents Electronic mail Circuit faults Association rules Power system faults Incipient faults
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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