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Temperature robust PCA based stress monitoring approach
dc.contributor.author | Quiroga, Jabid |
dc.contributor.author | Quiroga, John |
dc.contributor.author | Mujica Delgado, Luis Eduardo |
dc.contributor.author | Villamizar Mejía, Rodolfo |
dc.contributor.author | Ruiz Ordóñez, Magda |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Matemàtiques |
dc.date.accessioned | 2017-05-04T12:04:39Z |
dc.date.available | 2017-05-04T12:04:39Z |
dc.date.issued | 2016-09-30 |
dc.identifier.citation | Quiroga , J., Quiroga, J., Mujica, L.E., Villamizar, R., Ruiz, M. Temperature robust PCA based stress monitoring approach. "Key engineering materials", 30 Setembre 2016, vol. 713, p. 288-292. |
dc.identifier.issn | 1013-9826 |
dc.identifier.uri | http://hdl.handle.net/2117/104064 |
dc.description.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 |
dc.format.extent | 5 p. |
dc.language.iso | eng |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Física |
dc.subject.lcsh | Wave guides |
dc.subject.other | Stress monitoring |
dc.subject.other | Guided waves |
dc.subject.other | PCA |
dc.subject.other | Temperature robust. |
dc.title | Temperature robust PCA based stress monitoring approach |
dc.type | Article |
dc.subject.lemac | Guies d'ones |
dc.contributor.group | Universitat Politècnica de Catalunya. CoDAlab - Control, Modelització, Identificació i Aplicacions |
dc.identifier.doi | 10.4028/www.scientific.net/KEM.713.288 |
dc.relation.publisherversion | https://www.scientific.net/KEM.713.288 |
dc.rights.access | Open Access |
local.identifier.drac | 19746016 |
dc.description.version | Postprint (author's final draft) |
local.citation.author | Quiroga, J.; Quiroga, J.; Mujica, L.E.; Villamizar, R.; Ruiz, M. |
local.citation.publicationName | Key engineering materials |
local.citation.volume | 713 |
local.citation.startingPage | 288 |
local.citation.endingPage | 292 |
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