A Qualitative Strategy for Fusion of Physics into Empirical Models for Process Anomaly Detection

A Qualitative Strategy for Fusion of Physics into Empirical Models for Process Anomaly Detection

To facilitate the automated online monitoring of power plants, a systematic and qualitative strategy for anomaly detection is presented. This strategy is essential to provide credible reasoning on why and when an empirical versus hybrid (i.e., physics-supported) approach should be used and to determ...

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Bibliographic Details
Main Authors: Ahmad Y. Al Rashdan, Hany S. Abdel-Khalik, Kellen M. Giraud, Daniel G. Cole, Jacob A. Farber, William W. Clark, Abenezer Alemu, Marcus C. Allen, Ryan M. Spangler, Athi Varuttamaseni
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Energies
Subjects:
anomaly detection
physics models
empirical models
machine learning
Online Access:https://www.mdpi.com/1996-1073/15/15/5640

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https://www.mdpi.com/1996-1073/15/15/5640

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