Results for rotating machinery

Publications & Outputs

1. Fault Diagnosis for Rotating Machinery Using Multiple Sensors and Convolutional Neural Networks

   Xia, M., Li, T., Xu, L., Liu, L. & De Silva, C. W., 1/02/2018, In: IEEE/ASME Transactions on Mechatronics. 23, 1, p. 101-110 10 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

2. Combined vibration and thermal analysis for the condition monitoring of rotating machinery

   Nembhard, A., Sinha, J., Pinkerton, A. & Elbhbah, K., 05/2014, In: Structural Health Monitoring. 13, 3, p. 281-295 15 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review