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Entropy 2019, 21(1), 41; https://doi.org/10.3390/e21010041

Performance Evaluation of an Entropy-Based Structural Health Monitoring System Utilizing Composite Multiscale Cross-Sample Entropy

Department of Civil Engineering, National Chiao Tung University, Hsinchu 30010, Taiwan
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Received: 14 November 2018 / Revised: 6 January 2019 / Accepted: 7 January 2019 / Published: 9 January 2019
(This article belongs to the Special Issue Multiscale Entropy Approaches and Their Applications)
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Abstract

The aim of this study was to develop an entropy-based structural health monitoring system for solving the problem of unstable entropy values observed when multiscale cross-sample entropy (MSCE) is employed to assess damage in real structures. Composite MSCE was utilized to enhance the reliability of entropy values on every scale. Additionally, the first mode of a structure was extracted using ensemble empirical mode decomposition to conduct entropy analysis and evaluate the accuracy of damage assessment. A seven-story model was created to validate the efficiency of the proposed method and the damage index. Subsequently, an experiment was conducted on a seven-story steel benchmark structure including 15 damaged cases to compare the numerical and experimental models. A confusion matrix was applied to classify the results and evaluate the performance over three indices: accuracy, precision, and recall. The results revealed the feasibility of the modified structural health monitoring system and demonstrated its potential in the field of long-term monitoring. View Full-Text
Keywords: structural health monitoring; multi-scale; composite cross-sample entropy structural health monitoring; multi-scale; composite cross-sample entropy
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Lin, T.-K.; Chien, Y.-H. Performance Evaluation of an Entropy-Based Structural Health Monitoring System Utilizing Composite Multiscale Cross-Sample Entropy. Entropy 2019, 21, 41.

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