Signal Processing Techniques of Lamb Waves for Structural Health Monitoring System - A Review

Authors

  • Nurazima Ismail Advances Structural Integrity and Vibration Research (ASIVR), Faculty of Mechanical & Automotive Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600 Pekan, Pahang, Malaysia
  • Mohd Hafizi Zohari Advances Structural Integrity and Vibration Research (ASIVR), Faculty of Mechanical & Automotive Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600 Pekan, Pahang, Malaysia
  • Che Ku Eddy Che Ku Nizwan Advances Structural Integrity and Vibration Research (ASIVR), Faculty of Mechanical & Automotive Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600 Pekan, Pahang, Malaysia
  • Kok Sing Lim Photonics Research Centre, Universiti Malaya, 50603 Kuala Lumpur, Malaysia

DOI:

https://doi.org/10.37934/araset.42.2.3848

Keywords:

Lamb waves, Signal processing, Structural health monitoring, Multimodal, Dispersive

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.

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Author Biographies

Nurazima Ismail, Advances Structural Integrity and Vibration Research (ASIVR), Faculty of Mechanical & Automotive Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600 Pekan, Pahang, Malaysia

nurazima@ump.edu.my

Mohd Hafizi Zohari, Advances Structural Integrity and Vibration Research (ASIVR), Faculty of Mechanical & Automotive Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600 Pekan, Pahang, Malaysia

hafizi@ump.edu.my

 

Che Ku Eddy Che Ku Nizwan, Advances Structural Integrity and Vibration Research (ASIVR), Faculty of Mechanical & Automotive Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600 Pekan, Pahang, Malaysia

eddy@ump.edu.my

 

Kok Sing Lim, Photonics Research Centre, Universiti Malaya, 50603 Kuala Lumpur, Malaysia

kslim@um.edu.my

 

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Published

2024-04-03

How to Cite

Ismail, N., Zohari, M. H., Che Ku Nizwan, C. K. E., & Lim, K. S. (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), 38–48. https://doi.org/10.37934/araset.42.2.3848

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Articles