.png){kind=icon}
.png){kind=icon}
Return
A multi-demodulation band recognition strategy and its application in the multiple source fault diagnosis of wheelset-bearing system
.png){kind=icon}
PRE
AI
W
S
Y
R
X
F
DOI：10.1177/14759217261472056.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
<jats:p>To address the limitations of Kurtogram in handling high-amplitude impacts in wheel–rail noise and its inability to effectively identify composite faults in the wheelset-bearing system, this study introduces a novel Weight Kurtogram-based multi-demodulation band recognition strategy. This strategy firstly introduces a flexible frequency band division approach based on the fluctuation state of the Fourier spectrum. Additionally, a novel Weight Kurtosis indicator is designed to fully utilize the impulsiveness and periodicity of fault signatures, providing a great immunity to high-amplitude shocks. Furthermore, inspired by the observed multi-layer sub-band clustering in the Weight Kurtogram, a unique multi-resonant frequency band identification strategy is introduced to fully reveal all informative frequency bands. To validate the efficacy of this method, simulations and tests are conducted using real wheelset-bearing system vibration signals. The results indicate that the multi-band demodulation strategy is an effective method for detecting multiple source faults in the wheelset-bearing system.</jats:p>
Journal
S
IF:
5.7
Papers:
2.3K
Citations:
1.1W
Organization
Cited Papers