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| 1 | 风电机组齿轮箱温度趋势状态监测及分析方法显示文摘风电机组状态监测对于风电场特别是海上风电场降低维护成本,提高运行水平具有重要的实用价值。采用温度趋势分析的方法对风电机组齿轮箱的运行状态进行监测。利用非线性状态估计(nonlinear state estimate technology,NSET)方法建立齿轮箱正常工作状态下的温度模型并用其进行温度预测。通过合理构造过程记忆矩阵,使模型覆盖齿轮箱的正常工作空间。当齿轮箱工作异常时,其动态特性偏离正常工作空间,NSET温度模型预测残差的分布特性发生改变。采用滑动窗口方法实时计算残差的统计分布特性,当残差的均值或标准差的置信区间超出预先设定的阈值时,发出报警信息,提示运行人员检查设备状态。为模拟齿轮箱的故障情况,在机组数据采集与监视控制系统(supervisory control anddata acquisition,SCADA)数据中加入人为温度偏移。通过对该模拟故障的分析,新的状态监测方法能够及时发现齿轮箱的异常状态,达到实时在线状态监测的目的。 | 郭鹏 David Infield 杨锡运 | 2011 | 中国电机工程学报2011，31，32： | 120 |
| 2 | 基于引力搜索神经网络的风电机组传动链故障识别显示文摘针对风电机组传动链故障识别由风电场制定合理维修策略可减少停机时间、降低维修费用问题,将引力搜索算法用于BP神经网络初始权值及阈值优化,提出基于引力搜索神经网络的风电机组传动链故障识别方法。算例结果表明,所提方法精度较BP神经网络高,能准确识别齿轮磨损、齿轮断齿、轴承松动等风电机组传动链典型故障,验证该方法的有效性。 | 刘永前 徐强 David Infield 田德 龙泉 | 2015 | 振动与冲击2015，34，2： | 6 |
| 3 | An optimized short-term wind power interval prediction method considering NWP accuracy显示文摘In recent years, the accuracy of the wind power prediction has been urgently studied and improved to satisfy the requirements of power system operation. In this paper, the relevance vector machine(RVM)-based models are established to predict the wind power and its interval for a given confidence level. An NWP improvement module is presented considering the characteristic of NWP error. Moreover, two parameter optimization algorithms are applied to further improve the prediction model and to compare each performance. To take three wind farms in China as examples, the performance of two RVM-based models optimized, respectively, by genetic algorithm(GA)and particle swarm optimization(PSO) are compared with predictions based on a genetic algorithm–artificial neural network(GA–ANN) and support vector machine. Results show that the proposed models have better prediction accuracy with GA–RVM model and more efficient calculation with PSO–RVM. | Yongqian Liu Jie Yan Shuang Han Infield David De Tian Linyue Gao | 2014 | Chinese Science Bulletin2014，59，11： | 4 |
| 4 | Design and thermal analysis of a two-stage solar concentrator for com- bined heat and thermoelectric power generation 显示文摘 | Omera A Siddig D Infield David G | 2000 | Energy Conversion & Management2000，41，7： | 1 |
| 5 | A photovoltaic-powered seawater reverse-osmosis system without batteries 显示文摘 | Murray Thomson David Infield | 2002 | Desalination2002，，153： | 1 |
| 6 | Energy storage and its use with intermittent renewable energy显示文摘 | Barton John P Infield David G | | 0，，02： | 1 |
| 7 | A wind-powered seawater reverse-osmosis system without batteries显示文摘 | Murray Thomson David Infield | 2002 | Desalination2002，153，： | 1 |
| 8 | Wind turbine generator condition monitoring using temperature trend analysis显示文摘 | Guo Peng David Infield Yang Xiyun | | 0，，01： | 1 |
| 9 | A high-resolution domestic building occupancy model for energy demand simulations显示文摘 | Ian Richardson Murray Thomson David Infield | 2008 | Energy & Buildings2008，，8： | 1 |
| 10 | Assessment of PV Shading Device on Building Energy Consumption Taking into Account Site Layout显示文摘 | Maria Carla Di Vincenzo Dilay Kesten David Infield | 2012 | Journal of Energy and Power Engineering2012，6，3： | 0 |
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