دورية أكاديمية
On-Line Monitoring and Fault Diagnosis of Box Transformer Substation Based on VPRS-RBFNN
| العنوان: | On-Line Monitoring and Fault Diagnosis of Box Transformer Substation Based on VPRS-RBFNN |
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| المؤلفون: | Erbao Xu, Yan Li, Mingshun Yang, Renhao Xiao, Hairui Lin, Xinqin Gao |
| المصدر: | Tehnički Vjesnik, Vol 27, Iss 6, Pp 1965-1973 (2020) |
| بيانات النشر: | Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek, 2020. |
| سنة النشر: | 2020 |
| المجموعة: | LCC:Engineering (General). Civil engineering (General) |
| مصطلحات موضوعية: | box transformer substation (BTS), radial basis function neural network (RBFNN), the Internet of Things (IoT), variable precision rough set (VPRS), Engineering (General). Civil engineering (General), TA1-2040 |
| الوصف: | Box transformer substation (BTS) is an important power distribution environment. To ensure the safe and stable operation of the power distribution system, it is critical to monitor the BTS operation and diagnose its faults in a reliable manner. In the Internet of Things (IoT) environment, this paper aims to develop a real-time and accurate online strategy for BTS monitoring and fault diagnosis. The framework of our strategy was constructed based on the IoT technique, including a sensing layer, a network layer and an application layer. On this basis, a BTS fault diagnosis method was established with variable precision rough set (VPRS) as the pre-network and the radial basis function neural network (RBFNN) as the back-fed network. The VPRS and the RBFNN were selected, because the BTS faults have many characteristic parameters, with complex nonlinear relationship with fault modes. Finally, a prototype of our strategy was developed and applied to the fault diagnosis of an actual BTS. The results fully demonstrate the effectiveness and feasibility of our strategy. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1330-3651 1848-6339 |
| Relation: | https://hrcak.srce.hr/file/361350; https://doaj.org/toc/1330-3651; https://doaj.org/toc/1848-6339 |
| DOI: | 10.17559/TV-20200916115647 |
| URL الوصول: | https://doaj.org/article/7700023e10994c38a0f7cda3d7ad5e9b |
| رقم الأكسشن: | edsdoj.7700023e10994c38a0f7cda3d7ad5e9b |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 13303651 18486339 |
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| DOI: | 10.17559/TV-20200916115647 |