Academic literature on the topic 'Transformer-based algorithm'
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Journal articles on the topic "Transformer-based algorithm"
Tripathy, Manoj. "Power Transformer Differential Protection Based on Neural Network Principal Component Analysis, Harmonic Restraint and Park's Plots." Advances in Artificial Intelligence 2012 (August 28, 2012): 1–9. http://dx.doi.org/10.1155/2012/930740.
Full textLi, Zhenhua, Xingxin Chen, Lin Wu, Abu-Siada Ahmed, Tao Wang, Yujie Zhang, Hongbin Li, Zhenxing Li, Yanchun Xu, and Yue Tong. "Error Analysis of Air-Core Coil Current Transformer Based on Stacking Model Fusion." Energies 14, no. 7 (March 30, 2021): 1912. http://dx.doi.org/10.3390/en14071912.
Full textSun, Zaiming, Chang’an Liu, Hongquan Qu, and Guangda Xie. "PVformer: Pedestrian and Vehicle Detection Algorithm Based on Swin Transformer in Rainy Scenes." Sensors 22, no. 15 (July 28, 2022): 5667. http://dx.doi.org/10.3390/s22155667.
Full textWang, Fu Zhong, Shu Min Shao, and Peng Fei Dong. "Research on Transformer Fault Diagnosis Method Based on Artificial Immune Network and Fuzzy C-Means Clustering Algorithm." Applied Mechanics and Materials 574 (July 2014): 468–73. http://dx.doi.org/10.4028/www.scientific.net/amm.574.468.
Full textYan, Tai Shan, Guan Qi Guo, Wu Li, and Wei He. "An Improved Neural Network Algorithm and its Application in Fault Diagnosis." Advanced Materials Research 765-767 (September 2013): 2355–58. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.2355.
Full textIslam, M. Fakhrul, Joarder Kamruzzaman, and Guojun Lu. "Improved ANN Based Tap-Changer Controller Using Modified Cascade-Correlation Algorithm." Journal of Advanced Computational Intelligence and Intelligent Informatics 9, no. 3 (May 20, 2005): 226–34. http://dx.doi.org/10.20965/jaciii.2005.p0226.
Full textMudholkar, R. R., S. R. Sawant, G. G. Tengshe, and A. B. Bagwan. "Fuzzy Logic Transformer Design Algorithm (FLTDA)." Active and Passive Electronic Components 22, no. 1 (1999): 17–29. http://dx.doi.org/10.1155/1999/53850.
Full textMeng, Junhong, Maninder Singh, Manish Sharma, Daljeet Singh, Preet Kaur, and Rajeev Kumar. "Online Monitoring Technology of Power Transformer based on Vibration Analysis." Journal of Intelligent Systems 30, no. 1 (January 1, 2021): 554–63. http://dx.doi.org/10.1515/jisys-2020-0112.
Full textDai, Jianzhuo, Sicong Zhang, Jiagui Tao, and Kaifeng Hu. "Transformer Connection Terminal Registration Based on Objective Function." Journal of Physics: Conference Series 2404, no. 1 (December 1, 2022): 012039. http://dx.doi.org/10.1088/1742-6596/2404/1/012039.
Full textOrosz, Tamás, David Pánek, and Pavel Karban. "FEM Based Preliminary Design Optimization in Case of Large Power Transformers." Applied Sciences 10, no. 4 (February 17, 2020): 1361. http://dx.doi.org/10.3390/app10041361.
Full textDissertations / Theses on the topic "Transformer-based algorithm"
Lin, Zhe-Liang, and 林哲良. "Degradation Evaluation of Insulating Oil for Oil-filled Power Transformer Based on Intelligent Algorithms." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/6y7pk7.
Full text國立勤益科技大學
電機工程系
105
Large-scale power transformer is one of the most important electrical equipment in the power system. Operating condition affects the power system’s safety and stability directly. Once it is out of function, it will have a big impact and property loss for the whole system and production line. Furthermore, the power system’s safety and stability play significant role via the transformer failure mode research. To stop the power failure test is no need for dissolved gas analysis in order to facilitate online monitoring. Therefore, it is officially recognized as the oil-filled power transformer that is one of the most effective methods in the early potential failure stage. The study aims to China Steel and Dragon Steel Corporations oil-filled power transformer to evaluate the deterioration performance of the insulating oil. Finally, by utilizing the neural network and the extension method is to create the diagnosis system. The recognition precision could achieve accurate evaluation result exclude the noise interference according the sample testing result from the neural network diagnosis in comparison to the actual failure type. During the extension diagnosis and go through the extension factor way to figure out the practice of environment, the tolerance of accuracy and temperature variation to find out the evaluation results.
Book chapters on the topic "Transformer-based algorithm"
Hou, Fujin, Kun Zhou, Longbin Li, Yuan Tian, Jie Li, and Jian Li. "A Vulnerability Detection Algorithm Based on Transformer Model." In Lecture Notes in Computer Science, 43–55. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06791-4_4.
Full textXuhong, Huang, and Zhao Nan. "Transformer Fault Identification Method Based on Improved Roberts Algorithm." In Advances in Intelligent Information Hiding and Multimedia Signal Processing, 215–23. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1057-9_21.
Full textGaldi, V., L. Ippolito, A. Piccolo, and A. Vaccaro. "Genetic Algorithm Based Parameters Identification for Power Transformer Thermal Overload Protection." In Artificial Neural Nets and Genetic Algorithms, 308–11. Vienna: Springer Vienna, 2001. http://dx.doi.org/10.1007/978-3-7091-6230-9_76.
Full textVázquez Martínez, Ernesto, Héctor Esponda Hernández, and Manuel A. Andrade Soto. "A New Transformer Differential Protection Algorithm Based on Data Pattern Recognition." In Big Data Analytics in Future Power Systems, 143–68. Boca Raton : Taylor & Francis, a CRC title, part of the Taylor &: CRC Press, 2018. http://dx.doi.org/10.1201/9781315105499-8.
Full textTang, Xinglu, Hui Xi, Qianqian Chen, and Tian Ran Lin. "Rolling Bearing Remaining Useful Life Prediction Based on LSTM-Transformer Algorithm." In Proceedings of IncoME-VI and TEPEN 2021, 207–15. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99075-6_18.
Full textYu, Huadong, Qing Wu, Yongling Lu, Chengbo Hu, Yubo Wang, and Guohua Liu. "Research on Fault Diagnosis of Power Transformer Equipment Based on KNN Algorithm." In Advances in Intelligent Systems and Computing, 172–76. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70990-1_25.
Full textCui, Lujun, Hui-chao Shang, Gang Zhang, You-ping Chen, Yong Li, and Ze-xiang Zhao. "The Design of Electronic Transformer Sophisticated Calibration System Based on FFT Algorithm." In Advances in Intelligent and Soft Computing, 115–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30223-7_19.
Full textZhao, Weiguo, Yanning Kang, Gangzhu Pan, and Xinfeng Huang. "Fault Diagnosis of Power Transformer Based on BP Combined with Genetic Algorithm." In Communications in Computer and Information Science, 33–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18129-0_6.
Full textGuoxiang, Chang, Gao Qiaoli, Gao Xinming, and Cheng Junting. "Transformer Fault Diagnosis Based on BP Neural Network by Improved Apriori Algorithm." In Green Energy and Networking, 255–66. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62483-5_27.
Full textTian, Guangqiang, Yulin Ren, Fuzhong Wang, and Li Zhang. "Ultrasonic Localization of Transformer Partial Discharge Based on Improved Fruit Fly Algorithm." In Lecture Notes in Electrical Engineering, 767–76. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6328-4_77.
Full textConference papers on the topic "Transformer-based algorithm"
Akpinar, Kubra Nur, Okan Ozgonenel, and Unal Kurt. "Transformer Protection Algorithm Based on S-Transform." In 2020 28th Signal Processing and Communications Applications Conference (SIU). IEEE, 2020. http://dx.doi.org/10.1109/siu49456.2020.9302473.
Full textXi, Zhizhong, Jingen Wang, and Yanqing Kang. "Oriented Target Detection Algorithm Based on Transformer." In AIPR 2021: 2021 4th International Conference on Artificial Intelligence and Pattern Recognition. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3488933.3488954.
Full textZhao, Jiyin, Ruirui Zheng, and Jianpo Li. "Transformer fault diagnosis based on homotopy BP algorithm." In Instruments (ICEMI). IEEE, 2009. http://dx.doi.org/10.1109/icemi.2009.5274664.
Full textOzgonenel, O., M. A. Khan, and M. A. Rahman. "Wavelet power based transformer internal fault protection algorithm." In IET 9th International Conference on Developments in Power Systems Protection (DPSP 2008). IEE, 2008. http://dx.doi.org/10.1049/cp:20080050.
Full textOuyang, Fan, Yongqiang Liu, Zhaowen Liang, Zitian Qiu, and Bo Yuan. "Parameter identification of transformer based on PSO algorithm." In 2018 International Conference on Power System Technology (POWERCON). IEEE, 2018. http://dx.doi.org/10.1109/powercon.2018.8601728.
Full textChen, Yufeng, Xiuming Du, and Liwei Zhou. "Transformer defect correlation analysis based on Apriori algorithm." In 2016 IEEE International Conference on High Voltage Engineering and Application (ICHVE). IEEE, 2016. http://dx.doi.org/10.1109/ichve.2016.7800686.
Full textYanshuo, Lv. "Transformer Intelligent Diagnosis Method Based on AFSA-MKELM Algorithm." In the 2019 International Conference. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3366194.3366275.
Full textZheng Xiao-Li, Wang Shen-Qiang, Cao Yan-Zhao, and Wei Lei-Yuan. "Transformer fault diagnosis based on improved fuzzy ISODATA algorithm." In 2014 International Conference on Power System Technology (POWERCON). IEEE, 2014. http://dx.doi.org/10.1109/powercon.2014.6993582.
Full textZhang, Chen, and Tangwen Yang. "Transformer-based Algorithm for Commodity Detection in Fisheye Images." In 2022 16th IEEE International Conference on Signal Processing (ICSP). IEEE, 2022. http://dx.doi.org/10.1109/icsp56322.2022.9965271.
Full textLi, Zongbo, Zaibin Jiao, Yifei Wang, and Feng Ma. "A magnetization hysteresis-based power transformer fault detection algorithm." In 2017 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2017. http://dx.doi.org/10.1109/pesgm.2017.8273825.
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