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机译:通过火焰成像和核素主成分分析对燃烧过程进行状态监测
Instrumentation, Control and Embedded Systems Research Group, School of Engineering and Digital Arts, University of Kent, Canterbury, Kent, UK;
Instrumentation, Control and Embedded Systems Research Group, School of Engineering and Digital Arts, University of Kent, Canterbury, Kent CT2 7NT, UK;
State Key Laboratory of Clean Energy Utilization, Institute for Thermal Power Engineering, Zhejiang University, Hangzhou, China;
Instrumentation, Control and Embedded Systems Research Group, School of Engineering and Digital Arts, University of Kent, Canterbury, Kent, UK;
Combustion process; Condition monitoring; Digital imaging; Fault detection; Flame monitoring; Hotelling's T~2 statistic; KPCA; Q statistic;
机译:通过火焰成像,主成分分析和核支持向量机对氧气燃烧进行多模式监测
机译:燃烧过程的核密度加权主成分分析
机译:使用广义附加核主成分分析在线监控批生产过程
机译:非线性时变过程监控的高效递归核主成分分析
机译:通过主成分分析和非线性PCA进行状态监测和故障诊断。
机译:并行成像中线圈压缩的核主成分分析
机译:通过火焰成像,主成分分析和核支持向量机对氧气燃烧进行多模式监测