Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield, UK;
Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield, UK;
Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield, UK;
Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield, UK;
Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science Technology, Xiangtan, China;
Signal to noise ratio; Vibrations; Rolling bearings; Fault detection; Compressed sensing; Noise measurement; Monitoring;
机译:基于IMF的自适应包络阶分析在恶劣工况下滚动轴承的多故障检测
机译:通过基于峰的多尺度分解和包络解调增强滚动轴承的故障检测能力
机译:变速下滚动元件轴承弱故障特征提取的MCM增强压缩感应
机译:基于频移和信封压缩感应的滚动元件轴承的故障检测
机译:滚动轴承的故障检测,诊断和预测:频域方法和隐马尔可夫建模。
机译:基于IMF的自适应包络阶分析在恶劣工况下滚动轴承的多故障检测
机译:基于频移和包络的压缩感知在滚动轴承故障检测中的应用
机译:同步周期频率分析及其在滚动轴承多元素缺陷诊断中的应用