[1] 李智威, 李化, 杨佩原, 等. 不同场强下金属化聚丙烯膜电容器泄漏特性[J]. 电工技术学报, 2013, 28(9): 274-280. Li Z W, Li H, Yang P Y, et al. Leakage Characteristic of Metallized Polypropylene Film Capacitors under Different Electric Fields[J]. Transactions of China Eelectrotechnical Society, 2013, 28(9): 274-280. [2] 彭宝华, 周经伦, 冯静, 等. 金属化膜脉冲电容器剩余寿命预测方法研究[J]. 电子学报, 2011, 39(11): 2674-2679. Peng B H, Zhou J L, Feng J, et al. Residual Lifetime Prediction of Metallized Film Pulse Capacitors[J]. Acta Electronica Sinica, 2011, 39(11): 2674-2679. [3] 樊红杰. 金属化薄膜电容器电容量衰减的解决方案[J]. 电子元件与材料, 2011, 30(9): 40-42. Fan H J. Design and optimization of capacitance decay program for metallized film capacitors[J]. Electronic Components and Materials, 2011, 30(9): 40-42. [4] Candioti L V, De Zan M M, Camara S, et al. Goicoechea. Experimental Design and Multiple Response Optimization. Using the Desirability Function in Analytical Methods Development[J]. Talanta (S0039-9140), 2014, 124: 123-138. [5] Salmasnia A, Bashiri M.A new desirability function-based method for correlated multiple response optimization[J]. The International Journal of Advanced Manufacturing Technology(S0268-3768), 2015, 76: 1047-1062. [6] 张流洋, 马义中, 汪建均, 等. 考虑协变量的相关多响应稳健优化设计[J]. 系统工程, 2015, 33(2): 126-133. Zhang L Y, Ma Y Z, Wang J J, et al. Correlated multi-response robust design and optimization with considering covariates[J]. Systems Engineering, 2015, 32(2): 126-133. [7] 汪建均, 马义中, 翟云焕. 相关多质量特性的优化设计[J]. 管理工程学报, 2011, 25(2): 66-73. Wang J J, Ma Y Z, Zhai Y H. Optimization Design of Correlated Multiple Quality Characteristics[J]. Journal of Industrial Engineering and Engineering Management, 2011, 25(2): 66-73. [8] 田亮, 刘芳, 刘鑫屏, 等. 高速率变负荷模式下火电机组协调控制系统参数优化[J]. 系统仿真学报, 2015, 27(7): 1532-1540. Tian L, Liu F, Liu X P, et al. Parameter Optimization on Coordinated Control System of Thermal Power Units in High Rate Variable Load Operation Mode[J]. Journal of System Simulation, 2015, 27(7): 1532-1540. [9] 刘长良, 马增辉. Smith预估模型参数仿真分析及多目标优化[J]. 系统仿真学报, 2014, 26(8): 1706-1712. Liu C L, Ma Z H. Simulation Analysis and Multi-objective Optimization of Smith-Predictor Parameters Tuning[J]. Journal of System Simulation, 2014, 26(8): 1706-1712. [10] Shit J S, Tzeng Y F, Yang J B.Principal Component Analysis for Multiple Quality Characteristics Optimization of Mental Inert Gas Welding Aluminum Foam Plate[J]. Materials and Design(S0261-3069), 2011, 32(3): 1253-1261. [11] Gauri S K, Pal S.The Principal Component Analysis (PCA)-Based Approaches for Multi-response Optimization: Some Areas of Concerns[J]. The International Journal of Advanced Manufacturing Technology(S0268-3768), 2014, 70: 1875-1887. [12] 张迎冬, 何桢. 改进的主成分分析法在多响应优化中的应用[J]. 组合机床与自动化加工技术, 2012(11): 97-100. Zhang Y D, He Z. Application of improved principal component analysis method to the multi-response optimization[J]. Modular Machine Tool & Automatic Manufacturing Technique, 2012(11): 97-100. [13] Zhang Y Y, Pan B C.Modeling Batch and Column Phosphate Removal by Hydrated Ferric Oxide-based Nanocomposite Using Response Surface Methodology and Artificial Neural Network[J]. Chemical Engineering Journal(S1385-8947), 2014, 249: 111-120. [14] Peng A H, Xiao X M, Yue R.Process Parameter Optimization for Fused Deposition Modeling Using Response Surface Methodology Combine with Fuzzy Inference System[J]. The International Journal of Advanced Manufacturing Technology(S0268-3768), 2014, 73: 87-100. [15] 欧阳林寒, 马义中, 汪建均, 等. 基于模型不确定性的响应曲面建模[J]. 系统工程与电子技术, 2015, 37(8): 1818-1824. Ou Yang L H, Ma Y Z, Wang J J, et al. Response Surface Modeling Base on Model Uncertainty[J]. Systems Engineering and Electronics, 2015, 37(8): 1818-1824. [16] 樊兆峰, 马小平, 邵晓根. 非线性系统RBF神经网络多步预测控制[J]. 控制与决策, 2014, 29(7): 1274-1278. Fan Z F, Ma X P, Shao X G. RBF neural network multi-step predictive control for nonlinear systems[J]. Control and Decision, 2014, 29(7): 1274-1278. [17] 张永志, 董俊慧. 基于模糊C均值聚类的模糊RBF神经网络预测焊接接头力学性能建模[J]. 机械工程学报, 2014, 50(12): 58-64. Zhang Y Z, Dong J H. Modeling Fuzzy RBF Neural Network to Predict of Mechanical Properties of Welding Joints Based on Fuzzy C-means Cluster[J]. Journal of Mechanical Engineering, 2014, 50(12): 58-64. |