ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2009.03645
  4. Cited By
Detection of Anomalies and Faults in Industrial IoT Systems by Data
  Mining: Study of CHRIST Osmotron Water Purification System

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

8 September 2020
Mohammad Sadegh Sadeghi Garmaroodi
F. Farivar
M. Sayad Haghighi
M. A. Shoorehdeli
Alireza Jolfaei
ArXiv (abs)PDFHTML

Papers citing "Detection of Anomalies and Faults in Industrial IoT Systems by Data Mining: Study of CHRIST Osmotron Water Purification System"

1 / 1 papers shown
Title
Cyber-Physical Systems Security -- A Survey
Cyber-Physical Systems Security -- A Survey
Abdulmalik Humayed
Jingqiang Lin
Fengjun Li
Bo Luo
84
785
0
17 Jan 2017
1