A Data-Driven Approach Based on Artificial Neural Networks for the Detection and Classification of Bearing Anomalies in Power Generation Plants

S. I. Senarathna, L. A. U. Prasanshi, S. D. W. Senanayake, Dhammike Wimalarathne, S. Kumarawadu, V. Logeeshan, Chathura Wanigasekara. A Data-Driven Approach Based on Artificial Neural Networks for the Detection and Classification of Bearing Anomalies in Power Generation Plants. In 2023 IEEE World AI IoT Congress (AIIoT), Seattle, WA, USA, June 7-10, 2023. pages 415-420, IEEE, 2023. [doi]

@inproceedings{SenarathnaPSWKL23,
  title = {A Data-Driven Approach Based on Artificial Neural Networks for the Detection and Classification of Bearing Anomalies in Power Generation Plants},
  author = {S. I. Senarathna and L. A. U. Prasanshi and S. D. W. Senanayake and Dhammike Wimalarathne and S. Kumarawadu and V. Logeeshan and Chathura Wanigasekara},
  year = {2023},
  doi = {10.1109/AIIoT58121.2023.10174441},
  url = {https://doi.org/10.1109/AIIoT58121.2023.10174441},
  researchr = {https://researchr.org/publication/SenarathnaPSWKL23},
  cites = {0},
  citedby = {0},
  pages = {415-420},
  booktitle = {2023 IEEE World AI IoT Congress (AIIoT), Seattle, WA, USA, June 7-10, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-3761-7},
}