A class of multidimensional NIPALS algorithms for quaternion and tensor partial least squares regression

Stott, Alexander; Dees, Bruno Scalzo; Kisil, Ilia; Mandic, Danilo P.

doi:10.1016/j.sigpro.2019.03.002

Cited by 4 publications

(1 citation statement)

References 22 publications

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“…A p×c factor loading matrix P gives a factor model bold-italicX=bold-italicTbold-italicP+bold-italicF, where F is the unexplained part of X [43]. The loading parameters bold-italicP, bold-italicQ and regression coefficients B were determined using the NIPALS Algorithm [44]. The detailed flowchart on the use of PLSR for the prediction of gaps using the lamb waves is given in Figure 1.…”

Section: Partial Least Squared Regression Techniquementioning

confidence: 99%

Detection of Gaps in Concrete–Metal Composite Structures Based on the Feature Extraction Method Using Piezoelectric Transducers

Giri

Mishra

Clark

et al. 2019

Sensors

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A feature extraction methodology based on lamb waves is developed for the non-invasive detection and prediction of the gap in concrete–metal composite structures, such as concrete-filled steel tubes. A popular feature extraction method, partial least squares regression, is utilised to predict the gaps. The data is collected using the piezoelectric transducers attached to the external surface of the metal of the composite structure. A piezoelectric actuator generates a sine burst signal, which propagates along the metal and is received by a piezoelectric sensor. The partial least squares regression is performed on the raw sensor signal to extract features and to determine the relationship between the signal and the gap size, which is then used to predict the gaps. The applicability of the developed system is tested on two concrete-metal composite specimens. The first specimen consisted of an aluminium plate and the second specimen consisted of a steel plate. This technique is able to detect and predict gaps as low as 0.1 mm. The results demonstrate the applicability of this technique for the gap and debonding detection in concrete-filled steel tubes, which are critical in determining the degree of composite action between concrete and metal.

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