%0 Journal Article %1 journals/ijmic/KamatSK21 %A Kamat, Pooja %A Sugandhi, Rekha %A Kumar, Satish %D 2021 %J Int. J. Model. Identif. Control. %K dblp %N 1 %P 88-103 %T Data-driven bearing fault detection using hybrid autoencoder-LSTM deep learning approach. %U http://dblp.uni-trier.de/db/journals/ijmic/ijmic38.html#KamatSK21 %V 38

@article{journals/ijmic/KamatSK21, added-at = {2024-05-07T00:00:00.000+0200}, author = {Kamat, Pooja and Sugandhi, Rekha and Kumar, Satish}, biburl = {https://www.bibsonomy.org/bibtex/2722beffa3d64f6ef8aaf1262e36305f1/dblp}, ee = {https://doi.org/10.1504/IJMIC.2021.122471}, interhash = {03385ac332f09953a11fa5a3abe52666}, intrahash = {722beffa3d64f6ef8aaf1262e36305f1}, journal = {Int. J. Model. Identif. Control.}, keywords = {dblp}, number = 1, pages = {88-103}, timestamp = {2024-05-13T07:53:45.000+0200}, title = {Data-driven bearing fault detection using hybrid autoencoder-LSTM deep learning approach.}, url = {http://dblp.uni-trier.de/db/journals/ijmic/ijmic38.html#KamatSK21}, volume = 38, year = 2021 }