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Enhance￾ment of blurred road-traffic images based on generative adversarial network[J]. CAAI transactions on intelligent [21] systems, 2020, 15(3): 491–498. 毕晓君, 潘梦迪. 基于生成对抗网络的机载遥感图像 超分辨率重建 [J]. 智能系统学报, 2020, 15(1): 74–83. BI Xiaojun, PAN Mengdi. Super-resolution reconstruc￾tion of airborne remote sensing images based on the gen￾erative adversarial networks[J]. CAAI transactions on in￾telligent systems, 2020, 15(1): 74–83. [22] ODENA A, OLAH C, SHLENS J. Conditional image synthesis with auxiliary classifier GANs[C]//Proceed￾ings of the 34th International Conference on Machine Learning. Sydney, Australia, 2017: 2642−2651. [23] DUAN T, ANAND A, DING D Y, et al. NGBoost: nat￾ural gradient boosting for probabilistic prediction [C]//Proceedings of the 37th International Conference on Machine Learning. Vienna, Austria, 2020: 2690−2700. [24] TRUSHEIM F, CONDURACHE A, MERTINS A. Boosting black-box variational inference by incorporat￾ing the natural gradient[C]//2018 24th International Con￾ference on Pattern Recognition (ICPR). Beijing, China, 2018: 19−24. [25] 作者简介： 尹诗，博士研究生，主要研究方向 为风电机组故障预警、新能源状态 监测。 侯国莲，教授，博士生导师，主要 研究方向为风电故障诊断、复杂系统 优化控制、新能源技术及控制策略。 胡晓东，硕士研究生，主要研究方 向为风电机组故障诊断和预警。 ·1116· 智 能 系 统 学 报 第 16 卷