Exploració per autor "Delgado Prieto, Miquel"
Ara es mostren els items 43-62 de 107
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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
Accés obertAn 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 ... -
Feature extraction of demagnetization faults in permanent-magnet synchronous motors based on box-counting fractal dimension
(IEEE Press. Institute of Electrical and Electronics Engineers, 2011-05)
Article
Accés restringit per política de l'editorialThis paper presents a methodology for feature extraction of a new fault indicator focused on detecting demagnetization faults in a surface-mounted permanent-magnet synchronous motors operating under nonstationary conditions. ... -
Fully Noncontact Hybrid NDT for 3D Defect Reconstruction Using SAFT Algorithm and 2D Apodization Window
(Multidisciplinary Digital Publishing Institute (MDPI), 2019-05-08)
Article
Accés obertNondestructive testing of metallic objects that may contain embedded defects of different sizes is an important application in many industrial branches for quality control. Most of these techniques allow defect detection ... -
Grafana: Configuración de dashboard
(2023-10-30)
Audiovisual
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Grafana: Configuración de fuente de datos
(2023-10-27)
Audiovisual
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Grafana: Configuración de Grafana
(2023-10-20)
Audiovisual
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Hierarchical classification scheme based on identification, isolation and analysis of conflictive regions
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
Text en actes de congrés
Accés restringit per política de l'editorialAbstract: A great deal of effort is being made to increase accuracy and reliability of Condition Based Maintenance systems; for instance, by improved feature selection strategies or optimization approaches of classifier ... -
HVAC early fault detection using a fuzzy logic based approach
(AEDERMACP (European Association for the Development of Renewable Energies and Power Quality), 2020)
Text en actes de congrés
Accés obertThe need for improving the energy efficiency of existing buildings has driven to the implementation of building energy management systems (BEMS) that can help facilities manager to discover and identify problems that may ... -
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
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InfluxDB: Escritura en bases de datos PDI
(2023-10-20)
Audiovisual
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InfluxDB: Lectura y filtrado de datos PDI
(2023-10-20)
Audiovisual
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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
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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 ...
