Temperature Robust PCA based stress monitoring approach
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2016-09-30
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Abstract
In this paper, a guided wave temperature robust PCA-based stress monitoring
methodology is proposed. It is based on the analysis of the longitudinal guided wave propagating
along the path under stress. Slight changes in the wave are detected by means of PCA via statistical
T2 and Q indices. Experimental and numerical simulations of the guided wave propagating in
material under different temperatures have shown significant variations in the amplitude and the
velocity of the wave. This condition can jeopardize the discrimination of the different stress
scenarios detected by the PCA indices. Thus, it is proposed a methodology based on an extended
knowledge base, composed by a PCA statistical model for different discrete temperatures to
produce a robust classification of stress states under variable environmental conditions.
Experimental results have shown a good agreement between the predicted scenarios and the real
ones.
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Atribución-NoComercial-CompartirIgual 2.5 Colombia