Time-varying inverse filtering of narrowband ultrasonic signals

Abstract

Active strategies for structural health monitoring using ultrasonic guided waves mainly deal with excitation signals that are band limited in order to minimize the effect of dispersion. The underlying idea is to activate only the fundamental wave modes so that the signal complexity decreases and individual wave packets in the sensor signals can be identified separately. However, it would be advantageous to increase the temporal resolution of the signal in order to enhance the performance of the post-processing algorithms, for example, travel-time-based damage localization algorithms that need precise arrival time estimations or imaging approaches processing the deconvolved signals directly. This article suggests a new technique to deconvolve narrowband and nonstationary ultrasonic signals by means of a time-varying inverse filter. This filter is realized through the application of the matching pursuit decomposition algorithm. The properties of this methodology are quantitatively compared with several onset-time estimation approaches and evaluated with experimental pitch-catch and differential signals between the pristine and the damaged structure.

Keywords

active guided wave structural health monitoring time-varying inverse filtering signal processing arrival time estimation matching pursuit decomposition algorithm

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