The analysis on the test data is an important way to obtain the flutter characteristics of aircraft. Because of the low quality of the measured signal, the preprocessing is indispensable to improve the accuracy of flutter data analysis. In this paper, the morphological filtering is introduced into the field of flutter structure data processing. The theory of mathematical morphology is given, and the effectiveness of morphological filtering depending on the different operation types and structural elements are discussed. After that, the typical flutter boundary prediction (FBP) method is used to verify the validity and feasibility of the morphological preprocessing method through the numerical simulations, as well as the flight flutter test data. The results is shown that the morphological filtering can enhance Signal to Noise Rate (SNR) of the measured structural response from the physical test in terms of improving the prediction accuracy in actually engineering applications.
A Preprocessing Method for Flutter Signals Based on Morphological Filtering
01.07.2018
7469740 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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