College of Electric Power and Automation Engineering, Shanghai University of Electric Power 200090 Shanghai, China,CIMS Research Center, Tongji University 200184 Shanghai, China;
College of Electric Power and Automation Engineering, Shanghai University of Electric Power 200090 Shanghai, China,CIMS Research Center, Tongji University 200184 Shanghai, China;
Shanghai Chinaust Plastics Corp., Ltd. 201708 Shanghai, China;
College of Electric Power and Automation Engineering, Shanghai University of Electric Power 200090 Shanghai, China;
College of Electric Power and Automation Engineering, Shanghai University of Electric Power 200090 Shanghai, China;
College of Electric Power and Automation Engineering, Shanghai University of Electric Power 200090 Shanghai, China;
机译:基于D-S证据理论的机器故障诊断。第2部分:改进的D-S证据理论在变速箱故障诊断中的应用
机译:基于D-S证据理论的机器故障诊断。第1部分:D-S证据理论及其改进
机译:基于D-S证据理论的网络安全风险因素评估与可靠性分析
机译:基于RBF网络和D-S证据理论的冷凝器故障分析
机译:使用D-S理论的证据融合:在无线网络中利用不断发展的可靠性因素。
机译:基于节点行为和D-S证据理论的无线传感器网络信任评估算法
机译:基于神经网络的汽轮机D-S证据理论集成故障诊断研究