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  5. MINIMIZING NOISE EFFECTS IN STRUCTURAL HEALTH MONITORING USING HILBERT TRANSFORM OF THE CONDENSED FRF

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Article
English
2022

MINIMIZING NOISE EFFECTS IN STRUCTURAL HEALTH MONITORING USING HILBERT TRANSFORM OF THE CONDENSED FRF

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English
2022
Proceedings of the 13th International Workshop on Structural Health Monitoring
DOI: 10.12783/shm2021/36343

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Amir Gandomi
Amir Gandomi

University of Techology Sdyney

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Sahar Hassani
Mohsen Mousavi
Amir Gandomi

Abstract

A novel model updating-based damage detection method is proposed that uses the Unwrapped Instantaneous Hilbert Phase (UIHP) of the condensed frequency response function (CFRF) as input to the objective function of an optimisation problem. The novelty of the proposed method lies in two items: (1) using the CFRF instead of the FRF itself, and (2) using the UIHP associated with the columns of the CFRF as input. The proposed modifications bring about the following improvements in the damage detection practice as follows: (1) CFRF will reduce the number of required degrees of freedom (DOFs) to be measured, and (2) the UIHP mitigates the effect of the measurement noise on damage detection. The problem of damage detection in a laminated composite plate with different number of layers and ply orientation has been solved where the results demonstrate the effectiveness of the proposed method.

How to cite this publication

Sahar Hassani, Mohsen Mousavi, Amir Gandomi (2022). MINIMIZING NOISE EFFECTS IN STRUCTURAL HEALTH MONITORING USING HILBERT TRANSFORM OF THE CONDENSED FRF. Proceedings of the 13th International Workshop on Structural Health Monitoring, DOI: 10.12783/shm2021/36343.

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Publication Details

Type

Article

Year

2022

Authors

3

Datasets

0

Total Files

0

Language

English

Journal

Proceedings of the 13th International Workshop on Structural Health Monitoring

DOI

10.12783/shm2021/36343

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