Rolling Bearing Fault Diagnosis Based on Sensitive Feature Transfer Learning and Local Maximum Margin Criterion under Variable Working Condition
- 发表刊物:IEEE-ACM Transactions on Computational Biology and Bioinformatics
- 关键字:m7G-disease association prediction, similarity information, robust principal component analysis
- 论文类型:期刊论文
- 是否译文:否
- 发表时间:2022-11-20