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A new approach to health condition identification of rolling bearing using hierarchical dispersion entropy and improved Laplacian score
Structural Health Monitoring ( IF 5.7 ) Pub Date : 2020-08-18 , DOI: 10.1177/1475921720948620 Xiaoan Yan 1, 2 , Ying Liu 2 , Dongsheng Huang 1 , Minping Jia 3
Structural Health Monitoring ( IF 5.7 ) Pub Date : 2020-08-18 , DOI: 10.1177/1475921720948620 Xiaoan Yan 1, 2 , Ying Liu 2 , Dongsheng Huang 1 , Minping Jia 3
Affiliation
Since bearing fault signal under complex running status is usually manifested as the characteristics of nonlinear and non-stationary, which implies it is difficult to extract accurate affluent feat...
中文翻译：
一种基于层次色散熵和改进拉普拉斯分数的滚动轴承健康状况识别新方法
由于复杂运行状态下的轴承故障信号通常表现为非线性、非平稳的特征，这意味着难以准确提取出丰富的特征...
更新日期：2020-08-18
中文翻译：
一种基于层次色散熵和改进拉普拉斯分数的滚动轴承健康状况识别新方法
由于复杂运行状态下的轴承故障信号通常表现为非线性、非平稳的特征，这意味着难以准确提取出丰富的特征...
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