A Resilient Condition Assessment Monitoring System

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An architecture and supporting methods are presented for the implementation of a resilient condition assessment monitoring system that can adaptively accommodate both cyber and physical anomalies to a monitored system under observation. In particular, the architecture includes three layers: information, assessment, and sensor selection. The information layer estimates probability distributions of process variables based on sensor measurements and assessments of the quality of sensor data. Based on these estimates, the assessment layer then employs probabilistic reasoning methods to assess the plant health. The sensor selection layer selects sensors so that assessments of the plant condition can be made within desired ... continued below

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Garcia, Humberto; Lin, Wen-Chiao & Meerkov, Semyon M. August 1, 2012.

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An architecture and supporting methods are presented for the implementation of a resilient condition assessment monitoring system that can adaptively accommodate both cyber and physical anomalies to a monitored system under observation. In particular, the architecture includes three layers: information, assessment, and sensor selection. The information layer estimates probability distributions of process variables based on sensor measurements and assessments of the quality of sensor data. Based on these estimates, the assessment layer then employs probabilistic reasoning methods to assess the plant health. The sensor selection layer selects sensors so that assessments of the plant condition can be made within desired time periods. Resilient features of the developed system are then illustrated by simulations of a simplified power plant model, where a large portion of the sensors are under attack.

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  • 5th International Symposium on Resilient Control Systems,Salt Lake City, UT,08/14/2012,08/16/2012

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  • Report No.: INL/CON-12-26847
  • Grant Number: DE-AC07-05ID14517
  • Office of Scientific & Technical Information Report Number: 1058078
  • Archival Resource Key: ark:/67531/metadc829097

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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  • August 1, 2012

Added to The UNT Digital Library

  • May 19, 2016, 9:45 a.m.

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  • Dec. 8, 2016, 9:16 p.m.

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Garcia, Humberto; Lin, Wen-Chiao & Meerkov, Semyon M. A Resilient Condition Assessment Monitoring System, article, August 1, 2012; Idaho Falls, Idaho. (digital.library.unt.edu/ark:/67531/metadc829097/: accessed April 20, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.