近年来,海上风电因具有不占用陆上土地资源、风能利用率高等诸多优势,得到了迅速发展。截至2011年底,全球已建成80个海上风电场,累计装机容量达到4954MW。其中,我国2011年海上风电累计总装机为241.3MW。此外,我国还规划到2015年和2020年...近年来,海上风电因具有不占用陆上土地资源、风能利用率高等诸多优势,得到了迅速发展。截至2011年底,全球已建成80个海上风电场,累计装机容量达到4954MW。其中,我国2011年海上风电累计总装机为241.3MW。此外,我国还规划到2015年和2020年,我国海上风电总装机将分别累计达到5和30GW。随着海上风电的规模化开发与利用量的巨大增长,海上风电场并网柔性直流输电系统(voltagesource converter based high-voltage direct current,VSC-HVDC)的应用也为业界所关注,并对海上风电柔性直流输电变流器提出了更高的要求。大型海上风电场并网VSC-HVDC的关键技术主要涉及变流器拓扑结构和控制方法,以及在海上风电场中的应用等,例如海上风电柔性直流输电变流器的多电平拓扑结构、调制方法、均压控制策略以及海上风电场建模等关键技术。分析、总结和研究大型海上风电场并网VSC-HVDC变流器关键技术,有助于为大型海上风电场接入电网技术提供理论支撑,提高海上风力发电的开发与规模化利用水平,具有学术意义和重要的实用价值。展开更多
研究了一种新的自适应时频分析方法——局部均值分解LMD(Local mean decomposition)方法,并针对齿轮故障振动信号的调制特征,提出了基于LMD的齿轮故障诊断方法。LMD方法可以自适应地将任何一个复杂信号分解为若干个瞬时频率具有物理意义...研究了一种新的自适应时频分析方法——局部均值分解LMD(Local mean decomposition)方法,并针对齿轮故障振动信号的调制特征,提出了基于LMD的齿轮故障诊断方法。LMD方法可以自适应地将任何一个复杂信号分解为若干个瞬时频率具有物理意义的PF(Product function)分量之和,从而获得原始信号完整的时频分布,其本质上是将多分量的信号自适应地分解为若干个单分量的调幅-调频信号之和,非常适合于处理多分量的调幅-调频信号。在介绍LMD方法的基础上,对LMD和EMD(Empirical mode decomposition)方法进行了对比,结果表明了LMD方法的优越性,同时将LMD方法应用于齿轮故障诊断,对实际的齿轮故障振动信号进行了分析,结果表明LMD方法可以有效地应用于齿轮故障诊断。展开更多
Deep Learning(DL)is such a powerful tool that we have seen tremendous success in areas such as Computer Vision,Speech Recognition,and Natural Language Processing.Since Automated Modulation Classification(AMC)is an imp...Deep Learning(DL)is such a powerful tool that we have seen tremendous success in areas such as Computer Vision,Speech Recognition,and Natural Language Processing.Since Automated Modulation Classification(AMC)is an important part in Cognitive Radio Networks,we try to explore its potential in solving signal modulation recognition problem.It cannot be overlooked that DL model is a complex model,thus making them prone to over-fitting.DL model requires many training data to combat with over-fitting,but adding high quality labels to training data manually is not always cheap and accessible,especially in real-time system,which may counter unprecedented data in dataset.Semi-supervised Learning is a way to exploit unlabeled data effectively to reduce over-fitting in DL.In this paper,we extend Generative Adversarial Networks(GANs)to the semi-supervised learning will show it is a method can be used to create a more dataefficient classifier.展开更多
文摘近年来,海上风电因具有不占用陆上土地资源、风能利用率高等诸多优势,得到了迅速发展。截至2011年底,全球已建成80个海上风电场,累计装机容量达到4954MW。其中,我国2011年海上风电累计总装机为241.3MW。此外,我国还规划到2015年和2020年,我国海上风电总装机将分别累计达到5和30GW。随着海上风电的规模化开发与利用量的巨大增长,海上风电场并网柔性直流输电系统(voltagesource converter based high-voltage direct current,VSC-HVDC)的应用也为业界所关注,并对海上风电柔性直流输电变流器提出了更高的要求。大型海上风电场并网VSC-HVDC的关键技术主要涉及变流器拓扑结构和控制方法,以及在海上风电场中的应用等,例如海上风电柔性直流输电变流器的多电平拓扑结构、调制方法、均压控制策略以及海上风电场建模等关键技术。分析、总结和研究大型海上风电场并网VSC-HVDC变流器关键技术,有助于为大型海上风电场接入电网技术提供理论支撑,提高海上风力发电的开发与规模化利用水平,具有学术意义和重要的实用价值。
基金This work is supported by the National Natural Science Foundation of China(Nos.61771154,61603239,61772454,6171101570).
文摘Deep Learning(DL)is such a powerful tool that we have seen tremendous success in areas such as Computer Vision,Speech Recognition,and Natural Language Processing.Since Automated Modulation Classification(AMC)is an important part in Cognitive Radio Networks,we try to explore its potential in solving signal modulation recognition problem.It cannot be overlooked that DL model is a complex model,thus making them prone to over-fitting.DL model requires many training data to combat with over-fitting,but adding high quality labels to training data manually is not always cheap and accessible,especially in real-time system,which may counter unprecedented data in dataset.Semi-supervised Learning is a way to exploit unlabeled data effectively to reduce over-fitting in DL.In this paper,we extend Generative Adversarial Networks(GANs)to the semi-supervised learning will show it is a method can be used to create a more dataefficient classifier.
