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Chromatic monitoring of gear mechanical degradation based on acoustic emission

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10.1109/TIE.2017.2701761
 
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hdl:2117/111781

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Delgado Prieto, MiquelMés informacióMés informacióMés informació
Zurita Millán, DanielMés informacióMés informació
Document typeArticle
Defense date2017-11-01
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
ProjectTREN MOTRIZ DE ALTO RENDIMIENTO PARA EL VEHICULO ELECTRICO BASADO EN LAS ULTIMAS TECNOLOGIAS DE MOTORES SINCRONOS Y CONVERTIDORES DE POTENCIA DE CARBURO DE SILICIO (MINECO-TRA2013-46757-R)
Abstract
This paper presents a methodology for the feature estimation of a new fault indicator focused on detecting gear mechanical degradation under different operating conditions. Preprocessing of acoustic emission signal is performed by applying chromatic transformation to highlight characteristic patterns of the mechanical degradation. In this study, chromaticity based on the computation of the hue, light, and saturation transformation of the main acoustic emission intrinsic mode functions is performed. Then, a topology preservation approach is carried out to describe the chromatic signature of the healthy gear condition. Thus, the detection index can be estimated. It must be noted that the applied chromatic monitoring process only requires the characterization of the healthy gear condition, being applicable to a wide range of operating conditions of the gear. Performance of the proposed system is validated experimentally. According to the obtained results, the proposed methodology is reliable and feasible for monitoring gear mechanical degradation in industrial applications.
CitationDelgado Prieto, M., Zurita, D. Chromatic monitoring of gear mechanical degradation based on acoustic emission. "IEEE transactions on industrial electronics", 1 Novembre 2017, vol. 64, núm. 11, p. 8707-8717. 
URIhttp://hdl.handle.net/2117/111781
DOI10.1109/TIE.2017.2701761
ISSN0278-0046
Publisher versionhttp://ieeexplore.ieee.org/document/7920394/
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  • MCIA - Motion Control and Industrial Applications Research Group - Articles de revista [206]
  • Departament d'Enginyeria Electrònica - Articles de revista [1.585]
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