Shen, Sheng, Lu, Hao, Sadoughi, Mohammadkazem, Hu, Chao, Nemani, Venkat, Thelen, Adam, Webster, Keith, Darr, Matthew, Sidon, Jeff, and Kenny, Shawn. A physics-informed deep learning approach for bearing fault detection. Retrieved from https://par.nsf.gov/biblio/10273824. Engineering Applications of Artificial Intelligence 103.C Web. doi:10.1016/j.engappai.2021.104295.

Shen, Sheng, Lu, Hao, Sadoughi, Mohammadkazem, Hu, Chao, Nemani, Venkat, Thelen, Adam, Webster, Keith, Darr, Matthew, Sidon, Jeff, & Kenny, Shawn. A physics-informed deep learning approach for bearing fault detection. Engineering Applications of Artificial Intelligence, 103 (C). Retrieved from https://par.nsf.gov/biblio/10273824. https://doi.org/10.1016/j.engappai.2021.104295

Shen, Sheng, Lu, Hao, Sadoughi, Mohammadkazem, Hu, Chao, Nemani, Venkat, Thelen, Adam, Webster, Keith, Darr, Matthew, Sidon, Jeff, and Kenny, Shawn. "A physics-informed deep learning approach for bearing fault detection". Engineering Applications of Artificial Intelligence 103 (C). Country unknown/Code not available. https://doi.org/10.1016/j.engappai.2021.104295. https://par.nsf.gov/biblio/10273824.

@article{osti_10273824,
place = {Country unknown/Code not available}, title = {A physics-informed deep learning approach for bearing fault detection}, url = {https://par.nsf.gov/biblio/10273824}, DOI = {10.1016/j.engappai.2021.104295}, abstractNote = {}, journal = {Engineering Applications of Artificial Intelligence}, volume = {103}, number = {C}, author = {Shen, Sheng and Lu, Hao and Sadoughi, Mohammadkazem and Hu, Chao and Nemani, Venkat and Thelen, Adam and Webster, Keith and Darr, Matthew and Sidon, Jeff and Kenny, Shawn}, editor = {null} }