A Fault Analysis Method Based on Association Rule Mining for Distribution Terminal Unit
With the development of distribution networks, large amounts of distribution terminal units (DTU) are gradually integrated into the power system. However, limited numbers of maintenance engineers can hardly cope with the pressure brought about by the substantial increase of DTU devices. As DTU fault...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/11/5221 |
| _version_ | 1797531355366555648 |
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| author | Xuecen Zhang Yi Tang Qiang Liu Guofeng Liu Xin Ning Jiankun Chen |
| author_facet | Xuecen Zhang Yi Tang Qiang Liu Guofeng Liu Xin Ning Jiankun Chen |
| author_sort | Xuecen Zhang |
| collection | DOAJ |
| description | With the development of distribution networks, large amounts of distribution terminal units (DTU) are gradually integrated into the power system. However, limited numbers of maintenance engineers can hardly cope with the pressure brought about by the substantial increase of DTU devices. As DTU fault would pose a threat to the stable and safe operation of power systems; thus, it is rather significant to reduce the fault incidence of DTU devices and improve the efficiency of fault elimination. In this paper, a DTU fault analysis method using an association rule mining algorithm was proposed. Key factors of DTU fault were analyzed at first. Then, the main concept of the Eclat algorithm was illustrated, and its performance was compared with FP-growth and Apriori algorithms using DTU fault databases of different sizes. Afterwards, a DTU fault analysis method based on the Eclat algorithm was proposed. The practicality of this method was proven by experiment using a realistic DTU fault database. Finally, the application of this method was presented to demonstrate its effectiveness. |
| first_indexed | 2024-03-10T10:42:36Z |
| format | Article |
| id | doaj.art-127874b2edf54d6cbc8e9ca1247030e7 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T10:42:36Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-127874b2edf54d6cbc8e9ca1247030e72023-11-21T22:48:50ZengMDPI AGApplied Sciences2076-34172021-06-011111522110.3390/app11115221A Fault Analysis Method Based on Association Rule Mining for Distribution Terminal UnitXuecen Zhang0Yi Tang1Qiang Liu2Guofeng Liu3Xin Ning4Jiankun Chen5School of Cyber Science and Engineering, Southeast University, Nanjing 210096, ChinaSchool of Cyber Science and Engineering, Southeast University, Nanjing 210096, ChinaState Grid Nanjing Power Supply Company, Nanjing 210000, ChinaState Grid Nanjing Power Supply Company, Nanjing 210000, ChinaState Grid Corporation of China, Beijing 100032, ChinaState Grid Nanjing Power Supply Company, Nanjing 210000, ChinaWith the development of distribution networks, large amounts of distribution terminal units (DTU) are gradually integrated into the power system. However, limited numbers of maintenance engineers can hardly cope with the pressure brought about by the substantial increase of DTU devices. As DTU fault would pose a threat to the stable and safe operation of power systems; thus, it is rather significant to reduce the fault incidence of DTU devices and improve the efficiency of fault elimination. In this paper, a DTU fault analysis method using an association rule mining algorithm was proposed. Key factors of DTU fault were analyzed at first. Then, the main concept of the Eclat algorithm was illustrated, and its performance was compared with FP-growth and Apriori algorithms using DTU fault databases of different sizes. Afterwards, a DTU fault analysis method based on the Eclat algorithm was proposed. The practicality of this method was proven by experiment using a realistic DTU fault database. Finally, the application of this method was presented to demonstrate its effectiveness.https://www.mdpi.com/2076-3417/11/11/5221association rule miningdistribution terminal unitEclat algorithmfault analysis |
| spellingShingle | Xuecen Zhang Yi Tang Qiang Liu Guofeng Liu Xin Ning Jiankun Chen A Fault Analysis Method Based on Association Rule Mining for Distribution Terminal Unit Applied Sciences association rule mining distribution terminal unit Eclat algorithm fault analysis |
| title | A Fault Analysis Method Based on Association Rule Mining for Distribution Terminal Unit |
| title_full | A Fault Analysis Method Based on Association Rule Mining for Distribution Terminal Unit |
| title_fullStr | A Fault Analysis Method Based on Association Rule Mining for Distribution Terminal Unit |
| title_full_unstemmed | A Fault Analysis Method Based on Association Rule Mining for Distribution Terminal Unit |
| title_short | A Fault Analysis Method Based on Association Rule Mining for Distribution Terminal Unit |
| title_sort | fault analysis method based on association rule mining for distribution terminal unit |
| topic | association rule mining distribution terminal unit Eclat algorithm fault analysis |
| url | https://www.mdpi.com/2076-3417/11/11/5221 |
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