Liang H, Zhao X. Rolling bearing fault diagnosis based on one-dimensional dilated convolution network with residual connection[J]. IEEE Access, 2021, 9: 31078-31091. 这个发表在IEEE ACCESS的文章其实挺简单的,只不过结构参数的设计有点不合理,比如strides=8的卷积明显会损失太多信息,比如SE模块的使用略...
In order to solve the problems that the fault feature of rolling bearing in early failure period is difficult to extract and the over-decomposition problem arises when applying the variational mode decomposition (VMD), in this paper, the fault diagnosis for rolling bearing based on variational ...
'bearingFaultDiagnosis',...'train_data','OuterRaceFault_2.mat'));xOuter=dataOuter.bearing.gs;fsOuter=dataOuter.bearing.sr;tOuter=(0:length(xOuter)-1)/fsOuter;[pEnvOuter,fEnvOuter,xEnvOuter,tEnvOuter]=envspectrum(xOuter,fsOuter);figureplot(fEnvOuter,pEnvOuter)ncomb=10;helperPlotCombs(n...
Thus, for rolling bearing fault diagnosis technology research is of great significance. 因此,进行滚动轴承故障诊断技术研究具有十分重要的意义。 更多例句>> 5) faulty bearing 故障滚动轴承 1. The paper puts forwards the vibration model of faulty bearing and its differential equation,and builds up the...
'predmaintdemos', 'bearingFaultDiagnosis', ... 'train_data', 'OuterRaceFault_2.mat')); xOuter = dataOuter.bearing.gs; fsOuter = dataOuter.bearing.sr; tOuter = (0:length(xOuter)-1)/fsOuter; [pEnvOuter, fEnvOuter, xEnvOuter, tEnvOuter] = envspectrum(xOuter, fsOuter); figure pl...
Also, in the envelope spectrums of vibration signals for NucleoF401RET6 + ADXL1002z configuration, sidebands are visible across the characteristic frequency, and their harmonics strongly indicate the presence of a fault in the inner raceway of the bearing. Further, the vibration data is acquired ...
diagnosis. This paper proposes a novel deep learning method for rolling bearing fault diag- nosis using multi-layer domain adaptation. As shown in Figure 1, the domain shift problem is expected to be solved by jointly minimizing the classification error and the distribution ...
日前,对Limited Data Rolling Bearing Fault Diagnosis With Few-Shot Learning这篇论文进行拜读,其使用Siamese网络对西储大学轴承数据进行故障诊断,并且对故障诊断提出了Few-Shot Learning的概念。 Siamese网络在故障诊断中的效果 如下图所示,训练样本数量在60到19800,WDCNN、One-Shot、Five-Shot的准确率要比SVM高很多,...
The rolling bearing vibration signals are nonlinear and non-stationary when a fault exists. A novel method of rolling bearing fault diagnosis based on multiscale sample entropy (MSE) and Gath-Geva (GG) clustering is proposed for feature ... P. Tse 被引量: 0发表: 2018年 A Study on the ...
Fault diagnosisTransfer learningThe vibration signals of rolling bearing obtained under variable working conditions do not obey the same independent distribution so that the traditional method of bearing fault diagnosis has low accuracy, a fault diagnosis method about rolling bearing based on sparse ...