Nurazima, Ismail and Mohd Hafizi, Zohari and Che Eddy Nizwan, Che Ku Husin and Lim, Koksing (2024) Signal processing techniques of lamb waves for structural health monitoring system- A review. Journal of Advanced Research in Applied Sciences and Engineering Technology, 42 (2). pp. 38-48. ISSN 2462-1943. (Submitted) (Submitted)
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Abstract
The structural health monitoring (SHM) system using Lamb wave approach has drawn a lot of interest because of its outstanding performance in terms of accuracy and adaptability. The implemented signal processing techniques in the diagnostic analysis are specifically reviewed in this work. The primary factors of the wide range of applied signal processing techniques are due to the multimode and dispersive behaviour of the Lamb waves. Several Lamb modes occur simultaneously, and because they have different dispersive characteristics, they can produce complicated superimposed signals. To effectively diagnose the observed signals, several mode separations approaches have been proposed. Generally, time-frequency representation is applied for signal processing techniques. The findings demonstrated that the proposed procedures were successful in decomposing the superimposed mode into individual modes for further analysis. All these works have shown how SHM systems based on Lamb waves have evolved over time to control and monitor the condition of the structure.
| Item Type: | Article |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Dispersive; Lamb waves; Multimodal; Signal processing; Structural health monitoring |
| Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TJ Mechanical engineering and machinery T Technology > TL Motor vehicles. Aeronautics. Astronautics |
| Faculty/Division: | Faculty of Mechanical and Automotive Engineering Technology |
| Depositing User: | Mr Muhamad Firdaus Janih@Jaini |
| Date Deposited: | 01 Jul 2024 01:11 |
| Last Modified: | 01 Jul 2024 01:11 |
| URI: | http://umpir.ump.edu.my/id/eprint/41350 |
| Download Statistic: | View Download Statistics |
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