Intelligent Fault Diagnosis of Rotary Machinery Based on Unsupervised Multiscale Representation Learning
Multiscale Representation、fault diagnosis、multiscale representation、learning algorithm、feature extraction、signal processing、vibration signal、learning ability、domain knowledge、wind turbine
30
TP3;TP1
Hebei Provincial Natural Science Foundation of ChinaGrant F2016203421
2018-01-11(万方平台首次上网日期,不代表论文的发表时间)
共11页
1314-1324