Research on transformer vibration monitoring and diagnosis based on Internet of things
A recent advent has been seen in the usage of Internet of things (IoT) for autonomous devices for exchange of data. A large number of transformers are required to distribute the power over a wide area. To ensure the normal operation of transformer, live detection and fault diagnosis methods of power...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2021-05-01
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| Series: | Journal of Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/jisys-2020-0111 |
| _version_ | 1828123752787869696 |
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| author | Wang Zhenzhuo Sharma Amit |
| author_facet | Wang Zhenzhuo Sharma Amit |
| author_sort | Wang Zhenzhuo |
| collection | DOAJ |
| description | A recent advent has been seen in the usage of Internet of things (IoT) for autonomous devices for exchange of data. A large number of transformers are required to distribute the power over a wide area. To ensure the normal operation of transformer, live detection and fault diagnosis methods of power transformers are studied. This article presents an IoT-based approach for condition monitoring and controlling a large number of distribution transformers utilized in a power distribution network. In this article, the vibration analysis method is used to carry out the research. The results show that the accuracy of the improved diagnosis algorithm is 99.01, 100, and 100% for normal, aging, and fault transformers. The system designed in this article can effectively monitor the healthy operation of power transformers in remote and real-time. The safety, stability, and reliability of transformer operation are improved. |
| first_indexed | 2024-04-11T14:57:25Z |
| format | Article |
| id | doaj.art-9f302adaf9ec4af2bd9f2e307300f396 |
| institution | Directory Open Access Journal |
| issn | 2191-026X |
| language | English |
| last_indexed | 2024-04-11T14:57:25Z |
| publishDate | 2021-05-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Journal of Intelligent Systems |
| spelling | doaj.art-9f302adaf9ec4af2bd9f2e307300f3962022-12-22T04:17:11ZengDe GruyterJournal of Intelligent Systems2191-026X2021-05-0130167768810.1515/jisys-2020-0111Research on transformer vibration monitoring and diagnosis based on Internet of thingsWang Zhenzhuo0Sharma Amit1College of Mechanical Engineering and Automation, Henan Polytechnic Institute, Nanyang 47300, ChinaDepartment of Computer Science and Engineering, Jaypee University of Information Technology, Solan, 173234, IndiaA recent advent has been seen in the usage of Internet of things (IoT) for autonomous devices for exchange of data. A large number of transformers are required to distribute the power over a wide area. To ensure the normal operation of transformer, live detection and fault diagnosis methods of power transformers are studied. This article presents an IoT-based approach for condition monitoring and controlling a large number of distribution transformers utilized in a power distribution network. In this article, the vibration analysis method is used to carry out the research. The results show that the accuracy of the improved diagnosis algorithm is 99.01, 100, and 100% for normal, aging, and fault transformers. The system designed in this article can effectively monitor the healthy operation of power transformers in remote and real-time. The safety, stability, and reliability of transformer operation are improved.https://doi.org/10.1515/jisys-2020-0111internet of thingspower transformermachine learningnaive bayessupport vector machine |
| spellingShingle | Wang Zhenzhuo Sharma Amit Research on transformer vibration monitoring and diagnosis based on Internet of things Journal of Intelligent Systems internet of things power transformer machine learning naive bayes support vector machine |
| title | Research on transformer vibration monitoring and diagnosis based on Internet of things |
| title_full | Research on transformer vibration monitoring and diagnosis based on Internet of things |
| title_fullStr | Research on transformer vibration monitoring and diagnosis based on Internet of things |
| title_full_unstemmed | Research on transformer vibration monitoring and diagnosis based on Internet of things |
| title_short | Research on transformer vibration monitoring and diagnosis based on Internet of things |
| title_sort | research on transformer vibration monitoring and diagnosis based on internet of things |
| topic | internet of things power transformer machine learning naive bayes support vector machine |
| url | https://doi.org/10.1515/jisys-2020-0111 |
| work_keys_str_mv | AT wangzhenzhuo researchontransformervibrationmonitoringanddiagnosisbasedoninternetofthings AT sharmaamit researchontransformervibrationmonitoringanddiagnosisbasedoninternetofthings |