An Approach on MCSA-Based Fault Detection Using Independent Component Analysis and Neural Networks

Juan Enrique Garcia-Bracamonte, Juan Manuel Ramírez-Cortés, Jose de Jesus Rangel-Magdaleno, Pilar Gómez-Gil, Hayde Peregrina-Barreto, Vicente Alarcón Aquino. An Approach on MCSA-Based Fault Detection Using Independent Component Analysis and Neural Networks. IEEE T. Instrumentation and Measurement, 68(5):1353-1361, 2019. [doi]

@article{Garcia-Bracamonte19,
  title = {An Approach on MCSA-Based Fault Detection Using Independent Component Analysis and Neural Networks},
  author = {Juan Enrique Garcia-Bracamonte and Juan Manuel Ramírez-Cortés and Jose de Jesus Rangel-Magdaleno and Pilar Gómez-Gil and Hayde Peregrina-Barreto and Vicente Alarcón Aquino},
  year = {2019},
  doi = {10.1109/TIM.2019.2900143},
  url = {https://doi.org/10.1109/TIM.2019.2900143},
  researchr = {https://researchr.org/publication/Garcia-Bracamonte19},
  cites = {0},
  citedby = {0},
  journal = {IEEE T. Instrumentation and Measurement},
  volume = {68},
  number = {5},
  pages = {1353-1361},
}