دورية أكاديمية
Online Monitoring Technology of Power Transformer based on Vibration Analysis
| العنوان: | Online Monitoring Technology of Power Transformer based on Vibration Analysis |
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| المؤلفون: | Meng Junhong, Singh Maninder, Sharma Manish, Singh Daljeet, Kaur Preet, Kumar Rajeev |
| المصدر: | Journal of Intelligent Systems, Vol 30, Iss 1, Pp 554-563 (2021) |
| بيانات النشر: | De Gruyter, 2021. |
| سنة النشر: | 2021 |
| المجموعة: | LCC:Science LCC:Electronic computers. Computer science |
| مصطلحات موضوعية: | power transformer, online monitoring, multiscale permutation entropy, empirical mode decomposition, Science, Electronic computers. Computer science, QA75.5-76.95 |
| الوصف: | This paper presents a method for the study of the influence of stability of a power transformer on the power system based on the vibration principle. Traditionally, the EMD and EEMD algorithms are employed to test the box vibration signal data of the power transformer under three working conditions. The proposed method utilizes a partial EMD screening along with MPEEMD method for the online monitoring of power transformer. A complete online monitoring system is designed by using the STM32 processor and LabVIEW system. The proposed system is compared with EMD and EEMD algorithms in terms of the number of IMFs obtained by decomposition, maximum correlation coefficient, and mean square error. The inherent mode correlation, when compared with the mean square error of the reconstructed signal, shows that the reconstruction error of MPEEMD algorithm is 4.762×10−15 which is better than the traditional EMD algorithm. It is observed from the results that the proposed method outperforms both EMD and EEMD algorithms. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 0334-1860 2191-026X |
| Relation: | https://doaj.org/toc/0334-1860; https://doaj.org/toc/2191-026X |
| DOI: | 10.1515/jisys-2020-0112 |
| URL الوصول: | https://doaj.org/article/72736dee567e44088456bc4d11f97a12 |
| رقم الأكسشن: | edsdoj.72736dee567e44088456bc4d11f97a12 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 03341860 2191026X |
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| DOI: | 10.1515/jisys-2020-0112 |