机译:多传感器信息融合条件监测与故障诊断的发展与趋势:滚动轴承的信息融合:综述
Xi An Jiao Tong Univ Sch Mech Engn Educ Minist Modern Design &
Rotor Bearing Syst Key Lab Xian 710001 Shaanxi Peoples R China;
Xi An Jiao Tong Univ Sch Mech Engn Educ Minist Modern Design &
Rotor Bearing Syst Key Lab Xian 710001 Shaanxi Peoples R China;
Xi An Jiao Tong Univ Sch Mech Engn Educ Minist Modern Design &
Rotor Bearing Syst Key Lab Xian 710001 Shaanxi Peoples R China;
Xi An Jiao Tong Univ Sch Mech Engn Educ Minist Modern Design &
Rotor Bearing Syst Key Lab Xian 710001 Shaanxi Peoples R China;
Univ Pretoria Dept Elect Elect &
Comp Engn ZA-0002 Pretoria South Africa;
China Univ Min &
Technol Sch Mechatron Engn Xuzhou 221110 Peoples R China;
Rolling bearings; Detection technology; Condition monitoring; Fault diagnosis;
机译:多传感器信息融合条件监测与故障诊断的发展与趋势:滚动轴承的信息融合:综述
机译:基于SCADA和DSER-PSO-WRVM方法多传感器信息融合的风力涡轮机变速箱状态监测与故障诊断
机译:基于改进的基于双KurtoGram的滚动轴承的状态监测和复合故障诊断控制图
机译:用于滚动轴承振动故障诊断的多传感器信息融合方法
机译:轴承状态监测和故障诊断。
机译:采用改进的DFA和多传感器数据融合方法对滚动元件轴承故障诊断的准确性
机译:采用改进的DFA和多传感器数据融合方法对滚动元件轴承故障诊断的准确性