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On Metrics Assessing the Information Content of Datasets for Population-Based Structural Health Monitoring
Within databases designed for population-based structural health monitoring, diagnostic information can be transferred between structures allowing inferences to be made across them. Information metrics can be developed for this case, where similarities and differences between data collected for monitoring of structures can be evaluated easily without relying on an in-depth, physics-based understanding of the data. By doing so, feature extraction for monitoring will be faster and more informed than through current methods.
This paper focusses on adopting the maximum mean discrepancy, to find the distance between probability distributions of tool wear data from tools in a population, in order to find similarly-behaving tools for diagnostic and prognostic purposes.
On Metrics Assessing the Information Content of Datasets for Population-Based Structural Health Monitoring
Within databases designed for population-based structural health monitoring, diagnostic information can be transferred between structures allowing inferences to be made across them. Information metrics can be developed for this case, where similarities and differences between data collected for monitoring of structures can be evaluated easily without relying on an in-depth, physics-based understanding of the data. By doing so, feature extraction for monitoring will be faster and more informed than through current methods.
This paper focusses on adopting the maximum mean discrepancy, to find the distance between probability distributions of tool wear data from tools in a population, in order to find similarly-behaving tools for diagnostic and prognostic purposes.
On Metrics Assessing the Information Content of Datasets for Population-Based Structural Health Monitoring
Lecture Notes in Civil Engineering
Rizzo, Piervincenzo (Herausgeber:in) / Milazzo, Alberto (Herausgeber:in) / Wickramarachchi, Chandula T. (Autor:in) / Leahy, Wayne (Autor:in) / Worden, Keith (Autor:in) / Cross, Elizabeth J. (Autor:in)
European Workshop on Structural Health Monitoring ; 2020
11.01.2021
11 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Population-Based Structural Health Monitoring
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