Open Access
Issue |
MATEC Web Conf.
Volume 63, 2016
2016 International Conference on Mechatronics, Manufacturing and Materials Engineering (MMME 2016)
|
|
---|---|---|
Article Number | 05016 | |
Number of page(s) | 5 | |
Section | Computer Engineering and Applications | |
DOI | https://doi.org/10.1051/matecconf/20166305016 | |
Published online | 12 July 2016 |
- Wu Jianjun, Li Xiyuan, Sihua Li, et al. Research on transformer winding fibre optic temperature monitoring system and practical application[J]. Transformer, 50 (11):47–50 (2013). [Google Scholar]
- Yang Honglei, Xiong Xin, Shibin Liang, et al. Research of depth adjustable FBG oil temperature sensor for transformer[J]. Transducer and Microsystem Technologies, 33 (2):47–49 (2014). [Google Scholar]
- Hong Dan, Wei Guangyuan, Zheng Qian, et al. Research on application of fiber brag grating sensor in hot-spot temperature measurement for transformer winding[J]. Electrical Measurement & Instrumentation, 51 (21):47–51 (2014). [Google Scholar]
- IEEE guide for loading mineral-oil-immersed transformers[J]. IEEE guide for loading mineral-oil-immersed transformers, (1996). [Google Scholar]
- Lesieutre B C, Hagman W H, Kirtley J L. An improved transformer top oil temperature model for use in an on-line monitoring and diagnostic system[J]. IEEE Transactions on Power Delivery, 1 (12):249–256 (1997). [CrossRef] [Google Scholar]
- Tylavsky D J, He Q, Si J, et al. Transformer top-oil temperature modeling and simulation[J]. IEEE Transactions on Industry Applications, 5 (36):1219–1225 (2000). [CrossRef] [Google Scholar]
- Chen Weigen, Su Xiaoping, Xi Chen, et al. Influence Factor Analysis and Improvement of the Thermal Model for Predicting Transformer Top Oil Temperature[J]. High Voltage Engineering, 37 (6):1329–1335 (2011). [Google Scholar]
- Wei Bengang, Huang Hua, Fu Chenchao, et al. Algorithm for Transformer Top-Oil Temperature and Winding Hot-Point Temperature Based on Modified Thermal Circuit Model[J]. East China Electric Power, 44 (3):444–447 (2012). [Google Scholar]
- Chen Jinming, Wu Yi, Haibing Zhu, et al. Study and application of Transformer Top-oil predicting[J]. Electrotechnical Application, 22 (33):89–93 (2015). [Google Scholar]
- Xiong Hao, Chen Weigen, Lin Du, et al. Study on prediction of Top-oil Temperature for Power Transformer Based on T-S Model[J]. Proceedings of the CSEE, 27 (30):15–19 (2007). [Google Scholar]
- Chen Weigen, Teng Li, Jun Liu, et al. Transformer winding hot-spot temperature prediction model of support vector machine optimized by genetic algorithm[J]. Transformer of China electrotechnical society, 29 (1):44–51 (2014). [Google Scholar]
- Lu Fangcheng Ma Lun, Wang Liu, et al. Calculation of Winding Hot Spot Temperature of Oil Immersed Transformer by the Discontinuous Galerkin Method[J]. High Voltage Apparatus, 51 (3):28–34 (2015). [Google Scholar]
- He Q, Si J N, Tylavsky D J. Prediction of top-oil temperature for transformers using neural networks[J]. IEEE Transactions on Power Delivery, 4 (15):1205–1211 (2000). [CrossRef] [Google Scholar]
- Chen Weigen Xi Hongjuan, Su Xiaoping, et al. Application of Generalized Regression Neural Network to Transformer Winding Hot Spot Temperature Forecasting[J]. High Voltage Engineering, 38 (1):16–21 (2012). [Google Scholar]
- Wang Yongqiang, Yue Guoliang, He Jie, et al. Study on Prediction of Top Oil Temperature for Power Transformer Based on Kalman Filter Algorithm[J]. High Voltage Apparatus, 50 (8):74–79(2014). [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.