| index | Title |
| 1 | Numerical investigation on the flow and power of small-sized multi-bladed straight Darrieus wind turbine Author(s):JIANG Zhi-chao, DOI Yasuaki, ZHANG Shu-you Clicked:7699 Download:4140 Cited:10 <Full Text> Journal of Zhejiang University Science A 2007 Vol.8 No.9 P.1414-1421 DOI:10.1631/jzus.2007.A1414 |
| 2 | Dynamic modeling and direct power control of wind turbine driven DFIG under unbalanced network voltage conditions Author(s):Jia-bing HU, Yi-kang HE, Lie XU Clicked:8802 Download:5358 Cited:14 <Full Text> Journal of Zhejiang University Science A 2008 Vol.9 No.12 P.1731-1740 DOI:10.1631/jzus.A0820297 |
| 3 | Time resolved particle image velocimetry experimental study of the near wake characteristics of a horizontal axis wind turbine Author(s):Jian-wen Wang, Ren-yu Yuan, Xue-qing Dong, San-xia Zhang, Yang Song, Zhi-ying Gao, Kun Luo, Kun-zan Qiu, Ming-jiang Ni, Ke-fa Cen Clicked:8686 Download:5148 Cited:2 <Full Text> <PPT> 3119 Journal of Zhejiang University Science A 2015 Vol.16 No.7 P.586-595 DOI:10.1631/jzus.A1400332 |
| 4 | Modeling and loading compensation of a rotary valve-controlled pitch system for wind turbines Author(s):Xiu-xing Yin, Yong-gang Lin, Wei Li Clicked:13936 Download:4892 Cited:0 <Full Text> Journal of Zhejiang University Science A 2017 Vol.18 No.9 P.718-727 DOI:10.1631/jzus.A1500072 |
| 5 | Effect of additional cylinders on power-extraction performance of a Savonius vertical-axis wind turbine Author(s):Yangyang YAN, Jintao ZHANG, Junao SHE, Wenhao LIU, Jianghong DENG, Jianyang ZHU Clicked:4252 Download:3093 Cited:0 <Full Text> <PPT> 1114 Journal of Zhejiang University Science A 2023 Vol.24 No.6 P.531-542 DOI:10.1631/jzus.A2200292 |
| 6 | Kinematic modeling and stability analysis for a wind turbine blade inspection robot Author(s):Jindan WANG, Xiaolong MA, Xinghan ZHU, Xin WANG, Lan ZHANG, Binrui WANG Clicked:5122 Download:5158 Cited:0 <Full Text> <PPT> 972 Journal of Zhejiang University Science A 2025 Vol.26 No.2 P.121-137 DOI:10.1631/jzus.A2300619 |
| 7 | Load-measurement method for floating offshore wind turbines based on a long short-term memory (LSTM) neural network Author(s):Yonggang LIN, Xiangheng FENG, Hongwei LIU, Yong SUN Clicked:2938 Download:5037 Cited:0 <Full Text> <PPT> 890 Journal of Zhejiang University Science A 2025 Vol.26 No.5 P.456-470 DOI:10.1631/jzus.A2400097 |
