ID	原文	译文
39426	针对双馈式风电机组发电机前轴承劣化趋势问题，提出了一种新的组合建模方法对发电机前轴承健康度进行趋势预测。	Aiming at the deterioration trend of front bearing of doubly-fed wind turbine generator, a new combined modeling method is proposed to predict health degree of front bearing of generator.
39427	采用高斯混合模型(Gaussian Mixture Model， GMM)对机组运行工况进行辨识，并在各个子工况内分别建立基于极限学习机(Extreme Learning Machine， ELM)的发电机前轴承温度模型，将温度残差特征与前轴承振动信号时频域特征相融合，并计算前轴承健康度，提出基于注意力机制的双向长短期记忆(Bi-directional Long Short Term Memory， Bi-LSTM)神经网络对前轴承健康度进行建模并预测其趋势。	The GMM is used to identify operating conditions of wind turbines. The temperature model of front bearing based on ELM is established respectively in each sub-condition. Combining with temperature residual characteristics and time-frequency characteristics of vibration signal, the health degree of front bearing is calculated. Based on attention mechanism, the Bi-LSTM neural network is proposed to model and predict health degree of front bearing.
39428	实验结果表明：该组合建模方法具有较高的准确度和泛化能力。	The result shows that the combined modeling method has high accuracy and generalization ability.
39429	针对小样本数据缺失下的设备故障诊断问题，提出基于遗传算法优化支持向量回归的缺失数据填补方法，以改善设备故障诊断效果。	In view of the equipment fault diagnosis with small and missing sample data, a method of missing data filling based on support vector regression optimized by genetic algorithm is proposed to improve the accuracy of equipment fault diagnosis.
39430	利用缺失数据所属变量的数据，训练遗传算法优化的支持向量回归，得到单变量预测结果；	The support vector regression optimized by genetic algorithm was trained by other data values of missing data, and univariate prediction results were obtained.
39431	通过相关性分析重构训练集，获得多变量预测结果。	The training set was reconstructed through correlation analysis, so as to obtain the multivariate prediction results.
39432	建立动态权重将单变量预测与多变量预测的结果相组合，对缺失数据进行填补。	Dynamic weights were established to combine univariate prediction results and multivariate prediction results to fill in the missing data.
39433	将完整的数据作为输入，利用支持向量机对设备进行故障诊断。	The complete data is taken as the input, and the equipment fault is diagnosed by support vector machine.
39434	实例分析表明，所提出的方法具有较佳的故障诊断效果。	Example analysis shows that the method proposed in this paper has a high fault diagnosis accuracy.
39435	为了缩短航天维修人员的培训时间，提高维修人员的操作熟练度，设计开发了一款基于桌面虚拟现实设备的航天器维修仿真系统，	In order to shorten the training period of aerospace maintenance personnel and improve their operation proficiency, a spacecraft maintenance simulation system based on the desktop virtual reality technology is designed and developed.