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Your search keyword '"Yun-Lai Zhou"' showing total 5 results
Start Over Author "Yun-Lai Zhou" Journal journal of vibroengineering
5 results on '"Yun-Lai Zhou"'

1. Republished Paper. Rapid early damage detection using transmissibility with distance measure analysis under unknown excitation in long-term health monitoring

Author

Yun-Lai Zhou and Magd Abdel Wahab

Subjects
distance measure, structural health monitoring, lcsh:Mechanical engineering and machinery, Mechanical Engineering, transmissibility, lcsh:TJ1-1570, General Materials Science, damage detection
Abstract

Accurate and efficient damage detection in long-term health monitoring for structures still encounters many difficulties due to the effect of environment. Furthermore, recorded big data requires efficient damage detection algorithm. In this study, an efficient and effective damage detection algorithm is proposed using transmissibility along with Mahalanobis distance and Hotelling T-square. A numerically simulated beam and an experimentally tested laboratory structure are used to validate the proposed algorithm. Results demonstrate good performance of the proposed technique in damage detection.

Published
2018
Full Text
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2. Rapid early damage detection using transmissibility with distance measure analysis under unknown excitation in long-term health monitoring

Author

Magd Abdel Wahab and Yun-Lai Zhou

Subjects
Mahalanobis distance, Damage detection, distance measure, structural health monitoring, Computer science, business.industry, Mechanical Engineering, lcsh:Mechanical engineering and machinery, Measure (physics), 020101 civil engineering, Control engineering, Pattern recognition, 02 engineering and technology, Transmissibility (vibration), 0201 civil engineering, Term (time), damage detection, 020303 mechanical engineering & transports, 0203 mechanical engineering, transmissibility, General Materials Science, lcsh:TJ1-1570, Artificial intelligence, Structural health monitoring, business
Abstract

Accurate and efficient damage detection in long-term health monitoring for structures still encounters many difficulties due to the effect of environment. Furthermore, recorded big data requires efficient damage detection algorithm. In this study, an efficient and effective damage detection algorithm is proposed using transmissibility along with Mahalanobis distance and Hotelling T-square. A numerically simulated beam and an experimentally tested laboratory structure are used to validate the proposed algorithm. Results demonstrate good performance of the proposed technique in damage detection.

Published
2016

4. 2819. Republished Paper. Rapid early damage detection using transmissibility with distance measure analysis under unknown excitation in long-term health monitoring.

Author

Yun-Lai Zhou and Abdel Wahab, Magd

Subjects
*STRUCTURAL health monitoring, *STRUCTURAL analysis (Engineering), *NUMERICAL analysis, *MATHEMATICAL optimization, *TIME series analysis
Abstract

Accurate and efficient damage detection in long-term health monitoring for structures still encounters many difficulties due to the effect of environment. Furthermore, recorded big data requires efficient damage detection algorithm. In this study, an efficient and effective damage detection algorithm is proposed using transmissibility along with Mahalanobis distance and Hotelling T-square. A numerically simulated beam and an experimentally tested laboratory structure are used to validate the proposed algorithm. Results demonstrate good performance of the proposed technique in damage detection. [ABSTRACT FROM AUTHOR]

Published
2018
Full Text
View/download PDF

5. Rapid early damage detection using transmissibility with distance measure analysis under unknown excitation in long-term health monitoring.

Author

Yun-Lai Zhou and Wahab, Magd Abdel

Subjects
*STRUCTURAL health monitoring, *VIBRATION (Mechanics), *EXCITATION spectrum, *COMPUTATIONAL mechanics, *ALGORITHMS
Abstract

Accurate and efficient damage detection in long-term health monitoring for structures still encounters many difficulties due to the effect of environment. Furthermore, recorded big data requires efficient damage detection algorithm. In this study, an efficient and effective damage detection algorithm is proposed using transmissibility along with Mahalanobis distance and Hotelling T-square. A numerically simulated beam and an experimentally tested laboratory structure are used to validate the proposed algorithm. Results demonstrate good performance of the proposed technique in damage detection. [ABSTRACT FROM AUTHOR]

Published
2016
Full Text
View/download PDF

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