Detection of Anomalies in Industrial IoT Systems by Data Mining: Study of CHRIST Osmotron Water Purification System

Mohammad Sadegh Sadeghi Garmaroodi, Faezeh Farivar, Mohammad Sayad Haghighi, Mahdi Aliyari Shoorehdeli, Alireza Jolfaei. Detection of Anomalies in Industrial IoT Systems by Data Mining: Study of CHRIST Osmotron Water Purification System. IEEE Internet of Things Journal, 8(13):10280-10287, 2021. [doi]

@article{GarmaroodiFHSJ21,
  title = {Detection of Anomalies in Industrial IoT Systems by Data Mining: Study of CHRIST Osmotron Water Purification System},
  author = {Mohammad Sadegh Sadeghi Garmaroodi and Faezeh Farivar and Mohammad Sayad Haghighi and Mahdi Aliyari Shoorehdeli and Alireza Jolfaei},
  year = {2021},
  doi = {10.1109/JIOT.2020.3034311},
  url = {https://doi.org/10.1109/JIOT.2020.3034311},
  researchr = {https://researchr.org/publication/GarmaroodiFHSJ21},
  cites = {0},
  citedby = {0},
  journal = {IEEE Internet of Things Journal},
  volume = {8},
  number = {13},
  pages = {10280-10287},
}