Browsing by Author "Delgado Prieto, Miquel"
Now showing items 41-60 of 109
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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 multiclass novelty detection algorithms for electric machine monitoring
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Restricted access - publisher's policyThe detection of unexpected events represents, currently, one of the most critical challenges dealing with electromechanical system diagnosis. In this regard, machine learning based algorithms widely applied in other fields ... -
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 ... -
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
Restricted access - publisher's policyThis 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
Open AccessNondestructive 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
Open Access -
Grafana: Configuración de fuente de datos
(2023-10-27)
Audiovisual
Open Access -
Grafana: Configuración de Grafana
(2023-10-20)
Audiovisual
Open Access -
Hierarchical classification scheme based on identification, isolation and analysis of conflictive regions
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
Conference report
Restricted access - publisher's policyAbstract: 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)
Conference report
Open AccessThe 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)
Conference report
Open AccessA 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
Open AccessClassical 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
Open AccessThe 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
Open AccessThe 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)
Conference report
Open AccessIndustrial 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
Open AccessAbstract—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
Open Access -
InfluxDB: Escritura en bases de datos PDI
(2023-10-20)
Audiovisual
Open Access
