Browsing by Author "Ortega Redondo, Juan Antonio"
Now showing items 1-20 of 47
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Accurate Bearing Faults Classification based on Statistical-Time Features, Curvilinear Component Analysis and Neural Networks
(2012)
Conference report
Restricted access - publisher's policyBearing faults are the commonest form of malfunction associated with electrical machines. So far, the research has been carried out mainly in the detection of localized faults, but the diagnosis of distributed faults ... -
Análisis eléctrico del altavoz dinámico mediante modelado de anomalías mecánicas de fricción
(2010)
Conference report
Open AccessEl presente trabajo busca caracterizar el efecto de la fricción del conjunto móvil con el polo o el núcleo de la estructura magnética sobre la corriente absorbida por el altavoz, una de las más relevantes anomalías mecánicas ... -
An introduction to fault diagnosis of permanent magnet synchronous machines in master's degree courses
(John Wiley & Sons, 2010-08-16)
Article
Restricted access - publisher's policyEarly fault detection and diagnosis of high-performance electric motors has been an active area of research for the past two decades. This work presents a practical session that facilitates instructing students in this ... -
A novel condition monitoring scheme for bearing faults based on Curvilinear Component Analysis and hierarchical neural networks
(2012)
Conference report
Restricted access - publisher's policyMostly the faults in electrical machines are related with the bearings. Thus, a reliable bearing condition monitoring scheme able to detect either local or distributed defects are mandatory to avoid a breakdown in the ... -
A novel distributed fiber-optic strain sensor
(2002-08)
Article
Restricted access - publisher's policyThe theory of operation of a fiber-optic-based strain sensor system, suitable for long structures, is described. The proposed sensor design is composed of several hundreds of sections separated by reflectors in order to ... -
Bearing fault detection by a novel condition-monitoring scheme based on statistical-time features and neural networks
(Institute of Electrical and Electronics Engineers (IEEE), 2013-08)
Article
Restricted access - publisher's policyBearing degradation is the most common source of faults in electrical machines. In this context, this work presents a novel monitoring scheme applied to diagnose bearing faults. Apart from detecting local defects, i.e., ... -
Bearing fault diagnosis by EXIN CCA
(IEEE Computer Society Publications, 2012)
Conference report
Open AccessEXIN CCA is an extension of the Curvilinear Component Analysis (CCA), which solves for the noninvariant CCA projection and allows representing data drawn under different operating conditions. It can be applied to data ... -
Closed-loop controller for eliminating the contact bounce in DC core contactors
(2010-09)
Article
Open AccessThe undesirable phenomenon of the contact bounce causes severe erosion of the contacts and, as a consequence, their electrical life and reliability are greatly reduced. On the other hand, the bounce of the armature can ... -
Conocer la percepción del riesgo costero para adaptarse al cambio climático
(2014)
Conference lecture
Open AccessPara contribuir a evaluar el riesgo costero desde un enfoque integrado y multidimensional se analizan las percepciones de los actores involucrados en la gestión de la costa con el fin de determinar su visión y conocimiento ... -
Cursp práctico de microprocesadores con metodología semipresencial
(Universitat Politècnica de Catalunya, 2004)
Conference report
Open AccessEl objetivo final de esta experiencia es mejorar la docencia impartida por el Departamento de Ingeniería Electrónica en el Campus de Terrassa de la UPC en el área de microprocesadores. La mejora tiene dos ejes fundamentales, ... -
Data-driven operation performance evaluation of multi-chiller system using self-organizing maps
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Conference report
Restricted access - publisher's policyIndustrial plants performance evaluation has become a difficult task due to the machinery complexity. Multi-chiller systems take up big proportion of energy in food and beverage companies. Complex refrigeration generation ... -
Distributed neuro-fuzzy feature forecasting approach for condition monitoring
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
Conference report
Restricted access - publisher's policyThe industrial machinery reliability represents a critical factor in order to assure the proper operation of the whole productive process. In regard with this, diagnosis schemes based on physical magnitudes acquisition, ... -
Dynamic evaluation of fringing flux in linear electromechanical devices
(2010-03-12)
Article
Restricted access - publisher's policyAccurate dynamic models of electromechanical devices are essential in order to develop effective motion control strategies of such devices. The effects of fringing flux can not be ignored when dealing with electromagn ... -
Eines d’autor: avaluació de noves eines orientades al desenvolupament de competències genèriques per la millora del procés d’aprenentatge autònom dels estudiants
(Universitat Politècnica de Catalunya. Institut de Ciències de l'Educació, 2013-02-08)
Conference report / Conference lecture
Open AccessEls cursos on-line massius (Massive Open On-line Courses) estan emergent i suposarà un gran repte en l’educació universitària en els propers anys. Universitats com Standford i MIT han començat aquest any cursos en obert ... -
Enhanced Industrial Machinery Condition Monitoring Methodology based on Novelty Detection and Multi-Modal Analysis
(Institute of Electrical and Electronics Engineers (IEEE), 2016-10-19)
Article
Open AccessThis paper presents a condition-based monitoring methodology based on novelty detection applied to industrial machinery. The proposed approach includes both, the classical classification of multiple a priori known scenarios, ... -
Espectrometría infrarroja con array de fotodetectores
(Escola Tècnica Superior d'Enginyers de Telecomunicació de Barcelona, 1995)
Article
Open Access -
Evaluation of feature calculation methods for electromechanical system diagnosis
(IEEE Press. Institute of Electrical and Electronics Engineers, 2011)
Conference report
Restricted access - publisher's policyThe use of intelligent machine health monitoring schemes is increasing in critical applications as traction tasks in the transport sector. The high diagnosis capability and reliability required in these systems are being ... -
Evaluation of machine learning techniques for electro-mechanical system diagnosis
(IEEE Press. Institute of Electrical and Electronics Engineers, 2011)
Conference report
Open AccessThe application of intelligent algorithms, in electro-mechanical diagnosis systems, is increasing in order to reach high Reliability and performance ratios in critical and complex scenarios. In this context, different ... -
Evaluation of novelty detection methods for condition monitoring applied to an electromechanical system
(InTech, 2017-05-31)
Part of book or chapter of book
Open AccessDealing with industrial applications, the implementation of condition monitoring schemes must overcome a critical limitation, that is, the lack of a priori information about fault patterns of the system under analysis. ... -
Fault detection and identification methodology under an incremental learning framework applied to industrial machinery
(Institute of Electrical and Electronics Engineers (IEEE), 2018-09-03)
Article
Open AccessAn industrial machinery condition monitoring methodology based on ensemble novelty detection and evolving classification is proposed in this study. The methodology contributes to solve current challenges dealing with ...
