Hilbert-Huang Transform versus Fourier based analysis for diffused ultrasonic waves structural health monitoring in polymer based composite materials

by Seif Eddine Hamdi, Alain Le Duff, Guy Plantier, Laurent Simon, Rachid El Guerjouma, M. H. Ben Ghozlen
Abstract:
The use of time-frequency distributions for analysis of diffused signals, which takes into account the non-stationarity of these signals, may be vital for structural health monitoring applications. Although this type of analysis may bring new information into the signals analysis, the interpretation of a time-frequency distribution may not be simple, which may affect the damage identification. In addition, the large number of available tools for time-frequency analysis with different assumptions about the signal features (i.e. assumptions about linearity, stationarity, etc.), may cause a problem when selecting the most appropriate technique for signal analysis, and then may affect the interpretation of results. In this paper, induced holes in a Glass Fiber Reinforced Polymer (GFRP) composite plate, considered as damages, are visualized on different time-frequency representations. In particular, representations obtained from traditional Fourier based analysis methods like spectrogram are compared to that provided by the Hilbert-Huang transform, recently developed. Such a comparison of these techniques can be very useful to justify the accuracy of the HHT and for guiding the choice of the appropriate monitoring strategy of a given process.
Reference:
Seif Eddine Hamdi, Alain Le Duff, Guy Plantier, Laurent Simon, Rachid El Guerjouma, M. H. Ben Ghozlen, « Hilbert-Huang Transform versus Fourier based analysis for diffused ultrasonic waves structural health monitoring in polymer based composite materials », In Acoustics 2012, Nantes, France, 2012.
Bibtex Entry:
@INPROCEEDINGS{Acoustics2012Hamdi2,
  author = {Hamdi, Seif Eddine and Le Duff, Alain and Guy Plantier and Laurent
	Simon and Guerjouma, Rachid El and Ghozlen, M. H. Ben},
  title = {Hilbert-Huang Transform versus Fourier based analysis for diffused
	ultrasonic waves structural health monitoring in polymer based composite
	materials},
  booktitle = {Acoustics 2012},
  year = {2012},
  address = {Nantes, France},
  month = apr,
  abstract = {The use of time-frequency distributions for analysis of diffused signals,
	which takes into account the non-stationarity of these signals, may
	be vital for structural health monitoring applications. Although
	this type of analysis may bring new information into the signals
	analysis, the interpretation of a time-frequency distribution may
	not be simple, which may affect the damage identification. In addition,
	the large number of available tools for time-frequency analysis with
	different assumptions about the signal features (i.e. assumptions
	about linearity, stationarity, etc.), may cause a problem when selecting
	the most appropriate technique for signal analysis, and then may
	affect the interpretation of results. In this paper, induced holes
	in a Glass Fiber Reinforced Polymer (GFRP) composite plate, considered
	as damages, are visualized on different time-frequency representations.
	In particular, representations obtained from traditional Fourier
	based analysis methods like spectrogram are compared to that provided
	by the Hilbert-Huang transform, recently developed. Such a comparison
	of these techniques can be very useful to justify the accuracy of
	the HHT and for guiding the choice of the appropriate monitoring
	strategy of a given process.},
  owner = {gplantier},
  timestamp = {2012.11.11}
}