Vibration based structural health monitoring: Wavelet packet transform based solution

Abstract

One prominent problem for vibration-based structural health monitoring is to extract condition indices which are sensitive to damage and yet insensitive to measurement noise. In this paper, a condition index extraction method based on the wavelet packet transform (WPT) is proposed. This transform leads to the formulation of a novel condition index: wavelet packet signature (WPS). The sensitivity of the WPS to the change of structural parameters is derived and validated on a five-degrees-of-freedom spring-mass system. Results show that the WPS is significantly more sensitive to the stiffness change than the natural frequencies and the mode shapes. Its sensitivity is slightly better or comparable to that of the modal flexibility matrices depending on the location of damage. A variability analysis is also performed to study the effect of measurement noise on the proposed WPS. Results show that the WPS does not show any significant variation even under the presence of 10 dB noise. To illustrate the potential of the WPS, a damage indicator is formulated and used to monitor the health condition of the structural system. An experimental study on a three-storey frame shows that when incorporated with a statistical process control approach, the WPS-based damage indicator can distinctly identify the presence of damage in the system.

Keywords:

• Wavelet packet transform
• Structure health monitoring
• Damage assessment

Acknowledgements

This study was supported by the Hong Kong Research Grants Council Competitive Earmarked Research Grant HKUST6030/02E, the National Natural Science Foundation of China (Grant No. 50508027), the Key Program of the National Natural Science Foundation of China (Grant No. 50538020), the Major International (Regional) Joint Research Program of the National Natural Science Foundation of China (Grant No. 50420120133), the National Key Basic Research and Development Program (Grant No. 2002CB412709), and the Cultivation Fund of the Key Scientific and Technical Innovation Project from the Ministry of Education of China (Grant No. 20041207001).