机译:基于循环控制谱和LSSVM的冲动噪声环境中滚动元件轴承智能故障识别
Beijing Jiaotong Univ State Key Lab Rail Traff Control & Safety Beijing 100044 Peoples R China|Beijing Jiaotong Univ Sch Traff & Transportat Beijing 100044 Peoples R China;
Beijing Jiaotong Univ State Key Lab Rail Traff Control & Safety Beijing 100044 Peoples R China|Beijing Jiaotong Univ Sch Traff & Transportat Beijing 100044 Peoples R China|Natl Engn Lab Syst Safety & Operat Assurance Urba Guangzhou 510000 Peoples R China|Beijing Jiaotong Univ Beijing Res Ctr Urban Traff Informat Sensing & Se Beijing 100044 Peoples R China;
Anhui Univ Coll Elect Engn & Automat Hefei 230601 Peoples R China;
Natl Engn Lab Syst Safety & Operat Assurance Urba Guangzhou 510000 Peoples R China|Beijing Jiaotong Univ Beijing Res Ctr Urban Traff Informat Sensing & Se Beijing 100044 Peoples R China;
Feature extraction; Fault diagnosis; Rolling bearings; Kernel; Resonant frequency; Frequency modulation; Support vector machines; Cyclostationary; fault identification; impulsive noise; kernel method; LSSVM;
机译:改进PSO优化的基于LSSVM的滚动轴承智能故障识别方法
机译:基于循环谱分析的基于半监督支持向量数据描述的滚动轴承故障检测方法
机译:一种新的基于校正系列带选择方法,用于断层脉冲干扰下的轴承故障诊断
机译:基于循环熵的列车轴瓦脉冲噪声故障特征提取
机译:旋转机械中滚动轴承故障的分析:实验,建模,故障检测和诊断。
机译:基于循环控制谱的冲动噪声环境下滚动元件轴承故障诊断
机译:基于半导体的支持向量数据描述,基于循环谱分析的滚动元件轴承的故障检测方法
机译:评估在氮化硅滚动元件的低温环境中运行的轴承