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| Title: | Data mining for distribution system fault classification | |
| Author (s): | Dola, H.M. Chowdhury, Badrul H. | |
| Department/Lab Affiliations: | Electrical and Computer Engineering Power Systems Laboratory | |
| Keywords: | data mining data mining techniques data storage distribution system fault classification fault diagnosis information retrieval overcurrent protection overcurrent relays power distribution faults predetermined system conditions relay protection substation automation substation protection substations digital relaying equipment | |
| Issue Date: | 2005 | |
| Publisher: | Institute of Electrical and Electronics Engineers | |
| Citation: | Dola, H.M.; Chowdhury, B.H., "Data mining for distribution system fault classification" Proceedings of the 37th Annual North American Power Symposium, pp. 457- 462, 23-25 Oct. 2005 | |
| Abstract: | Digital relaying equipment at substations allow for large amounts of data storage that can be triggered by predetermined system conditions. Some of this information retrieved from relays at several locations in a local utility's service territory has been mined for determining trends and relationships. Data mining aims to make sense of the retrieved data by revealing meaningful relationships. This paper discusses some useful data mining techniques that are applied to data recorded by overcurrent relays at several substations. The purpose is to classify faults, verify relay settings and determine fault induced trip per substations. High accuracy is obtained. | |
| Type: | Article - Conference proceedings text | |
| Copyright Notice: | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. FULL COPYRIGHT INFORMATION: | |
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| title | Data mining for distribution system fault classification | |
| contributor.author | Dola, H.M. | |
| contributor.author | Chowdhury, Badrul H. | |
| contributor.deptlab | Electrical and Computer Engineering | |
| contributor.deptlab | Power Systems Laboratory | |
| subject | data mining | |
| subject | data mining techniques | |
| subject | data storage | |
| subject | distribution system fault classification | |
| subject | fault diagnosis | |
| subject | information retrieval | |
| subject | overcurrent protection | |
| subject | overcurrent relays | |
| subject | power distribution faults | |
| subject | predetermined system conditions | |
| subject | relay protection | |
| subject | substation automation | |
| subject | substation protection | |
| subject | substations digital relaying equipment | |
| date.issued | 2005 | |
| date.submitted | 2007 | |
| publisher | Institute of Electrical and Electronics Engineers | |
| identifier.citation | Dola, H.M.; Chowdhury, B.H., "Data mining for distribution system fault classification" Proceedings of the 37th Annual North American Power Symposium, pp. 457- 462, 23-25 Oct. 2005 | |
| identifier.pub.URI | ||
| description.abstract | Digital relaying equipment at substations allow for large amounts of data storage that can be triggered by predetermined system conditions. Some of this information retrieved from relays at several locations in a local utility's service territory has been mined for determining trends and relationships. Data mining aims to make sense of the retrieved data by revealing meaningful relationships. This paper discusses some useful data mining techniques that are applied to data recorded by overcurrent relays at several substations. The purpose is to classify faults, verify relay settings and determine fault induced trip per substations. High accuracy is obtained. | |
| type | Article - Conference proceedings | |
| type.DCMIType | text | |
| type.status | Final version | |
| rights | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. | |
| rights.URI | ||
| date.accessioned | 2007-04-05T14:25:31Z | |
| date.available | 2007-04-05T14:25:31Z | |
| identifier.persist.URI | ||
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