TY - JOUR A2 - Silva-Navarro, Gerardo AU - Liu, Qinming AU - Liu, Wenyi AU - Mei, Jiajian AU - Si, Guojin AU - Xia, Tangbin AU - Quan, Jiarui PY - 2021 DA - 2021/02/25 TI - A New Support Vector Regression Model for Equipment Health Diagnosis with Small Sample Data Missing and Its Application SP - 6675078 VL - 2021 AB - Actually, it is difficult to obtain a large number of sample data due to equipment failure, and small sample data may also be missing.论文建议使用基于支持矢量回归法和遗传算法的新式小样本缺失填充法,以改善设备健康诊断效果第一,遗传算法用于优化支持向量回归,并可以建议新方法GA-SVRGA-SVR模型通过使用缺数据所属变量的其他数据培训,并可获得单变量预测法相关分析用于重构培训集,GA-SVR则通过使用缺数据变量数据获取多变预测法培训动态权值显示将单变预测法和基于某些原理的多变预测法合并使用,缺失数据填充综合预测法填充数据输入GA-SVM诊断设备故障最后,还进行了案例研究,以验证拟议方法的适用性和有效性。SN-1070-9622UR-https://doi.org/101155/2021/6675078DO-10.1155/2021/6675078JF-震荡和振荡PB-HindawiKW-ER-