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Thermography-based methodology for multifault diagnosis on kinematic chain
dc.contributor.author | Delgado Prieto, Miquel |
dc.contributor.author | Cariño Corrales, Jesús Adolfo |
dc.contributor.author | Saucedo Dorantes, Juan Jose |
dc.contributor.author | Romero Troncoso, René de Jesús |
dc.contributor.author | Osornio Rios, Roque A. |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica |
dc.date.accessioned | 2019-01-29T14:26:13Z |
dc.date.available | 2019-01-29T14:26:13Z |
dc.date.issued | 2018-12-01 |
dc.identifier.citation | Delgado Prieto, M. [et al.]. Thermography-based methodology for multifault diagnosis on kinematic chain. "IEEE transactions on industrial informatics", 1 Desembre 2018, vol. 14, núm. 12, p. 5553-5562. |
dc.identifier.issn | 1551-3203 |
dc.identifier.uri | http://hdl.handle.net/2117/127823 |
dc.description.abstract | The procedures for condition monitoring of electromechanical systems are undergoing a reformulation, mainly, due to the current thermographic affordability of infrared cameras to be incorporated in industrial applications. However, high-performing multifault data-driven methodologies must be investigated in order to infer reliable condition information from the thermal distribution of not only electrical motors but also of shafts and couplings. To address this issue, a novel thermography-based methodology is proposed. First, the infrared capture is processed to obtain a thermographic residual image of the kinematic chain. Second, the thermal distribution of the image's regions of interest is characterized by means of statistical features. Finally, a distributed self-organizing map structure is used to model the nominal thermal distribution to subsequently perform a fault detection and identification. The method provides a reliability quantification of the resulting condition assessment in order to avoid misclassifications and identify the actual fault root-causes. The performance and the effectiveness of the proposed methodology is validated experimentally and compared with the classical maximum temperature gradient procedure. |
dc.format.extent | 10 p. |
dc.language.iso | eng |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal |
dc.subject.lcsh | Temperature measurements |
dc.subject.lcsh | Electric motors |
dc.subject.lcsh | Signal processing |
dc.subject.lcsh | Kinematics |
dc.subject.other | Condition monitoring |
dc.subject.other | fault diagnosis |
dc.subject.other | industry applications |
dc.subject.other | infrared imaging |
dc.subject.other | rotating machines |
dc.subject.other | self-organizing feature maps |
dc.title | Thermography-based methodology for multifault diagnosis on kinematic chain |
dc.type | Article |
dc.subject.lemac | Termometria |
dc.subject.lemac | Motors elèctrics |
dc.subject.lemac | Tractament del senyal |
dc.subject.lemac | Cinemàtica |
dc.contributor.group | Universitat Politècnica de Catalunya. MCIA - Motion Control and Industrial Applications Research Group |
dc.identifier.doi | 10.1109/TII.2018.2816925 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/8319454 |
dc.rights.access | Open Access |
local.identifier.drac | 23634097 |
dc.description.version | Postprint (published version) |
local.citation.author | Delgado Prieto, M.; Cariño, J. A.; Saucedo, J.; Romero-Troncoso, R.; Osornio, R. |
local.citation.publicationName | IEEE transactions on industrial informatics |
local.citation.volume | 14 |
local.citation.number | 12 |
local.citation.startingPage | 5553 |
local.citation.endingPage | 5562 |
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