%0 Journal Article %1 journals/access/ZhangPZL23 %A Zhang, Bowen %A Pang, Xinyu %A Zhao, Peng %A Lu, Kaibo %D 2023 %J IEEE Access %K dblp %P 26099-26113 %T A New Method Based on Encoding Data Probability Density and Convolutional Neural Network for Rotating Machinery Fault Diagnosis. %U http://dblp.uni-trier.de/db/journals/access/access11.html#ZhangPZL23 %V 11

@article{journals/access/ZhangPZL23, added-at = {2023-04-16T00:00:00.000+0200}, author = {Zhang, Bowen and Pang, Xinyu and Zhao, Peng and Lu, Kaibo}, biburl = {https://www.bibsonomy.org/bibtex/2c05870881b66556e59e8566ecaf63fde/dblp}, ee = {https://doi.org/10.1109/ACCESS.2023.3257041}, interhash = {806c1c68370c0fe7f5d140a3d82f957b}, intrahash = {c05870881b66556e59e8566ecaf63fde}, journal = {IEEE Access}, keywords = {dblp}, pages = {26099-26113}, timestamp = {2024-04-08T13:47:25.000+0200}, title = {A New Method Based on Encoding Data Probability Density and Convolutional Neural Network for Rotating Machinery Fault Diagnosis.}, url = {http://dblp.uni-trier.de/db/journals/access/access11.html#ZhangPZL23}, volume = 11, year = 2023 }