%0 Journal Article %1 journals/access/LiZLSWC19 %A Li, Ke %A Zhang, Rui %A Li, Fucai %A Su, Lei %A Wang, Huaqing %A Chen, Peng %D 2019 %J IEEE Access %K dblp %P 26571-26580 %T A New Rotation Machinery Fault Diagnosis Method Based on Deep Structure and Sparse Least Squares Support Vector Machine. %U http://dblp.uni-trier.de/db/journals/access/access7.html#LiZLSWC19 %V 7

@article{journals/access/LiZLSWC19, added-at = {2020-01-23T00:00:00.000+0100}, author = {Li, Ke and Zhang, Rui and Li, Fucai and Su, Lei and Wang, Huaqing and Chen, Peng}, biburl = {https://www.bibsonomy.org/bibtex/225e1e5689dda341596e2d194e6628d7f/dblp}, ee = {https://doi.org/10.1109/ACCESS.2019.2901363}, interhash = {b53e046ecb37fca07a6ef9ab9819af12}, intrahash = {25e1e5689dda341596e2d194e6628d7f}, journal = {IEEE Access}, keywords = {dblp}, pages = {26571-26580}, timestamp = {2020-01-24T11:38:13.000+0100}, title = {A New Rotation Machinery Fault Diagnosis Method Based on Deep Structure and Sparse Least Squares Support Vector Machine.}, url = {http://dblp.uni-trier.de/db/journals/access/access7.html#LiZLSWC19}, volume = 7, year = 2019 }