Exploració per autor "Delgado Prieto, Miquel"
Ara es mostren els items 51-70 de 107
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Incremental learning framework-based condition monitoring for novelty fault identification applied to electromechanical systems
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Text en actes de congrés
Accés obertA great deal of investigations are being carried out towards the effective implementation of the 4.0 Industry new paradigm. Indeed, most of the machinery involved in industrial processes are intended to be digitalized ... -
Incremental novelty detection and fault identification scheme applied to a kinematic chain under non-stationary operation
(2019-01-01)
Article
Accés obertClassical methods for monitoring electromechanical systems lack two critical functions for effective industrial application: management of unexpected events and the incorporation of new patterns into the knowledge database. ... -
Industrial data-driven monitoring based on incremental learning applied to the detection of novel faults
(2020-09-01)
Article
Accés obertThe detection of uncharacterized events during electromechanical systems operation represents one of the most critical data challenges dealing with condition-based monitoring under the Industry 4.0 framework. Thus, the ... -
Industrial process condition forecasting methodology based on neo-fuzzy neuron and self-organizing maps
(2019-08-01)
Article
Accés obertThe condition forecasting of industrial processes represents a key factor to allow the future generation of industrial manufacturing plants. In this regard, this paper presents a novel soft-computing based methodology for ... -
Industrial process monitoring by means of recurrent neural networks and Self Organizing Maps
(IEEE Press, 2016)
Text en actes de congrés
Accés obertIndustrial manufacturing plants often suffer from reliability problems during their day-to-day operations which have the potential for causing a great impact on the effectiveness and performance of the overall process and ... -
Industrial time series modelling by means of the neo-fuzzy neuron
(Institute of Electrical and Electronics Engineers (IEEE), 2016-09-20)
Article
Accés obertAbstract—Industrial process monitoring and modelling represents a critical step in order to achieve the paradigm of Zero Defect Manufacturing. The aim of this paper is to introduce the Neo-Fuzzy Neuron method to be applied ... -
InfluxDB: Creación de base de datos PDI
(2023-10-20)
Audiovisual
Accés obert -
InfluxDB: Escritura en bases de datos PDI
(2023-10-20)
Audiovisual
Accés obert -
InfluxDB: Lectura y filtrado de datos PDI
(2023-10-20)
Audiovisual
Accés obert -
Intelligent sensor based on acoustic emission analysis applied to gear fault diagnosis
(Institute of Electrical and Electronics Engineers (IEEE), 2013)
Text en actes de congrés
Accés restringit per política de l'editorialThe development of intelligent and autonomous monitoring systems applied to rotating machinery, represents the evolution towards the automatic industrial plants supervision. In this regard, an acoustic emission based ... -
Interoperabilidad industrial: Concepto y consideraciones previas
(2023-10-27)
Audiovisual
Accés obert -
Laboratori semipresencial de microprocessadors
(2006-02)
Text en actes de congrés
Accés obertL’objectiu final d’aquest projecte és millorar la docència impartida per el Departament d’Enginyeria Electrònica en el Campus de Terrassa en el àrea de microprocessadors. La millora té dos eixos fonamentals, d’una banda ... -
Laser Ultrasound Inspection Based on Wavelet Transform and Data Clustering for Defect Estimation in Metallic Samples
(Multidisciplinary Digital Publishing Institute (MDPI), 2019-01-30)
Article
Accés obertLaser-generated ultrasound is a modern non-destructive testing technique. It has been investigated over recent years as an alternative to classical ultrasonic methods, mainly in industrial maintenance and quality control ... -
Loudspeaker Rub Fault Detection by Means of a New Nonstationary Procedure Test
(2011)
Text en actes de congrés
Accés restringit per política de l'editorialThis paper addresses rub defect loudspeaker detection. The study includes a simulation with a rub model based on classical static coulomb friction added to the loudspeaker nonlinearities parametric model to demonstrate ... -
Mantenimiento predictivo de bajo coste: la evolución asequible hacía plantas industriales más eficientes
(2013-07-01)
Article
Accés restringit per política de l'editorial -
Material defect reconstruction by non-destructive testing with laser induced ultrasonics
(Institute of Physics (IOP), 2018)
Text en actes de congrés
Accés obertAligned with current research efforts and industrial applications on nondestructive testing, in this work, a hybrid system combining remotely induced laser ultrasonics with conventional transducer detection is studied for ... -
Motor fault classification system including a novel hybrid feature reduction methodology
(2011)
Text en actes de congrés
Accés restringit per política de l'editorialThe fault diagnosis field is in a continuous movement towards the generation of more reliable and powerful machine health monitoring schemes. Improved data processing methodologies are required to reach high diagnosis ... -
Multidimensional intelligent diagnosis system based on support vector machines classifier
(2012)
Text en actes de congrés
Accés restringit per política de l'editorialHeding the diagnostic requirements of electromechanical systems applied in automotive and aeronautical sectors, a multidimensional diagnostic system based on Support Vector Machine classifier is presented in this paper. ... -
Multifault diagnosis method applied to an electric machine based on high-dimensional feature reduction
(2016-12-07)
Article
Accés obertCondition monitoring schemes are essential for increasing the reliability and ensuring the equipment efficiency in industrial processes. The feature extraction and dimensionality reduction are useful preprocessing steps ... -
Multimodal forecasting methodology applied to industrial process monitoring
(2017-09-20)
Article
Accés obertIEEE Industrial process modelling represents a key factor to allow the future generation of industrial manufacturing plants. In this regard, accurate models of critical signals need to be designed in order to forecast ...
