bearing and gearbox data for fault diagnostics application
Published: 3 July 2019| Version 1 | DOI: 10.17632/fkp3nn4tp7.1
Contributors:
Yang Hu, Xudong LiDescription
An integrated experiment is designed for assessing the effectiveness of applying three different levels of transfer learning into fault diagnostics, and the source codes and original dataset are uploaded here for open-public accessing. Thus the obtained results can be set as the benchmark for assessing the following new transfer learning variant algorithms in fault diagnostics field.
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Institutions
Politecnico di Milano
Categories
System Fault Diagnosis