机译:基于n维特征参数距离的滚动轴承故障诊断融合信息熵方法
Liaoning Key Laboratory of Advanced Test Technology for Aeronautical Propulsion System, Shenyang Aerospace University, Shenyang 110136, PR China;
Liaoning Key Laboratory of Advanced Test Technology for Aeronautical Propulsion System, Shenyang Aerospace University, Shenyang 110136, PR China;
Department of Mechanical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, PR China,School of Energy and Power Engineering, Beihang University, Beijing 100191, PR China;
Liaoning Key Laboratory of Advanced Test Technology for Aeronautical Propulsion System, Shenyang Aerospace University, Shenyang 110136, PR China;
Liaoning Key Laboratory of Advanced Test Technology for Aeronautical Propulsion System, Shenyang Aerospace University, Shenyang 110136, PR China;
Rolling bearing; Fault diagnosis; Fusion information entropy method; n-dimensional characteristic parameters; distance;
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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EEMD-WST信号重建和多尺度熵的滚动轴承故障诊断方法
机译:基于n维特征参数距离的滚动轴承故障诊断融合信息熵方法