|
|
|
Dacheng Yu, Mingjun Zhang, Feng Yao and Jitao Li
Variational Mode Decomposition (VMD) has typically been used in weak fault feature extraction in recent years. The problem analyzed in this study is weak fault feature extraction and the enhancement of AUV thrusters based on Artificial Rabbits Optimizati...
ver más
|
|
|
|
|
|
|
Jun Li, Hongchao Wang, Simin Li, Liang Chen and Qiqian Dang
To extract the weak fault features hidden in strong background interference in the event of the early failure of rolling bearings, a two-stage based method is proposed. The broadband noise elimination ability of an adaptive morphological filter (AMF) and...
ver más
|
|
|
|
|
|
|
Zheng Li, Anbo Ming, Wei Zhang, Tao Liu, Fulei Chu and Yin Li
In order to extract and enhance the weak fault feature of rolling element bearings in strong noise conditions, the Empirical Wavelet Transform (EWT) is improved and a novel fault feature extraction and enhancement method is proposed by combining the Maxi...
ver más
|
|
|
|
|
|
|
Zhinong Jiang, Minghui Hu, Kun Feng and Ya He
Because both the inner and outer rings rotate, the intershaft bearings used in gas turbines do not have fixed bearing housings. As a result, the vibration of intershaft bearings cannot be measured directly. Therefore, a vibration signal can only be colle...
ver más
|
|
|
|