Exploració per autor "Delgado Prieto, Miquel"
Ara es mostren els items 17-36 de 107
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Chromatic monitoring of gear mechanical degradation based on acoustic emission
Delgado Prieto, Miquel; Zurita Millán, Daniel (Institute of Electrical and Electronics Engineers (IEEE), 2017-11-01)
Article
Accés obertThis 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 ... -
Condition monitoring strategy based on an optimized selection of high-dimensional set of hybrid features to diagnose and detect multiple and combined faults in an induction motor
Saucedo Dorantes, Juan Jose; Jaen Cuellar, Arturo Yosimar; Delgado Prieto, Miquel; Romero Troncoso, René de Jesús; Osornio Rios, Roque A. (Elsevier, 2021-06-01)
Article
Accés obertThe development of novel condition monitoring strategies represents a critical challenge to ensure the effectiveness and reliability of complex industrial processes. Indeed, the interconnectivity of multiple variables ... -
Condition monitoring strategy based on spectral energy estimation and linear discriminant analysis applied to electric machines
Ramirez Chavez, Mayra; Saucedo Dorantes, Juan Jose; Romero Troncoso, René; Osornio Rios, Roque A.; Morales Velazquez, Luis; Delgado Prieto, Miquel (2018)
Text en actes de congrés
Accés obertCondition-based maintenance plays an important role to ensure the working condition and to increase the availability of the machinery. The feature calculation and feature extraction are critical signal processing that allow ... -
Condition monitoring system for characterization of electric motor ball bearings with distributed fault using fuzzy inference tools
Navarro, L.; Delgado Prieto, Miquel; Urresty Betancourt, Julio César; Cusidó Roura, Jordi; Romeral Martínez, José Luis (2010-05-06)
Article
Accés obertThe present work shows a condition monitoring system applied to electric motors ball bearings. Unlike most of the previous work on this area, which is mainly focused on the location of single-point defects in bearing ... -
Contributions to electromechanical systems diagnosis by means data fusion techniques
Delgado Prieto, Miquel (Universitat Politècnica de Catalunya, 2012-10-26)
Tesi
Accés obertElectromechanical drives have traditionally found their field of application in the industrial sector. However, the use of such systems is spreading to other sectors within the field of transport, such as the automotive ... -
Deep learning based condition monitoring approach applied to power quality
González Abreu, Artvin Darién; Saucedo Dorantes, Juan Jose; Osornio Rios, Roque A.; Arellano Espitia, Francisco; Delgado Prieto, Miquel (Institute of Electrical and Electronics Engineers (IEEE), 2020)
Text en actes de congrés
Accés restringit per política de l'editorialCondition monitoring applied to power quality involves several techniques and procedures for the assessment of the electrical signal. Data-driven approaches are the most common methodologies supported on data and signal ... -
Deep learning-based partial transfer fault diagnosis methodology for electromechanical systems
Arellano Espitia, Francisco; Delgado Prieto, Miquel; Valls Pérez, Joan; Saucedo Dorantes, Juan Jose; Osornio Rios, Roque Alfredo (2023)
Text en actes de congrés
Accés restringit per política de l'editorialRecently, transfer learning technology has provided valuable solutions to problems that are present in machinery with industrial applications. Through the use of transfer learning, basic diagnostic problems have been well ... -
Deep-compact-clustering based anomaly detection applied to electromechanical industrial systems
Arellano Espitia, Francisco; Delgado Prieto, Miquel; González Abreu, Artvin Darién; Saucedo Dorantes, Juan Jose; Osornio Rios, Roque A. (Multidisciplinary Digital Publishing Institute (MDPI), 2021-08-30)
Article
Accés obertThe rapid growth in the industrial sector has required the development of more productive and reliable machinery, and therefore, leads to complex systems. In this regard, the automatic detection of unknown events in machinery ... -
Defect reconstruction by non-destructive testing with laser induced ultrasonic detection
Mohamed Selim, Hossameldin; Delgado Prieto, Miquel; Trull Silvestre, José Francisco; Pico Vila, Rubén; Romeral Martínez, José Luis; Cojocaru, Crina (2020-02)
Article
Accés obertThis work envisages a detailed study of two-dimensional defect localization and reconstruction, using laser generated ultrasound and its application as a remotely controlled non-destructive testing method. As an alternative ... -
Detection of demagnetization faults in surface-mounted permanent magnet synchronous motors by means of the zero-sequence voltage component
Urresty Betancourt, Julio César; Riba Ruiz, Jordi-Roger; Delgado Prieto, Miquel; Romeral Martínez, José Luis (2012-03-01)
Article
Accés restringit per política de l'editorialThis paper develops and analyzes an online methodology to detect demagnetization faults in surface-mounted permanent magnet synchronous motors. The proposed methodology, which takes into account the effect of the inverter ... -
Detection of partial demagnetization fault in PMSMs operating under nonstationary conditions
Wang, Chao; Delgado Prieto, Miquel; Romeral Martínez, José Luis; Chen, Zhe; Blaabjerg, Frede; Liu, Xiaoyan (2016-07-01)
Article
Accés obertDemagnetization fault detection of in-service permanent magnet synchronous machines (PMSMs) is a challenging task, because most PMSMs operate under nonstationary circumstances in industrial applications. A novel approach ... -
Diagnosis electromechanical system by means CNN and SAE: an interpretable-learning study
Arellano Espitia, Francisco; Delgado Prieto, Miquel; Martínez Viol, Víctor; Saucedo Dorantes, Juan Jose; Osornio Rios, Roque A. (Institute of Electrical and Electronics Engineers (IEEE), 2022)
Text en actes de congrés
Accés obertCyber-physical systems are the response to the adaptability, scalability and accurate demands of the new era of manufacturing called Industry 4.0. They will become the core technology of control and monitoring in smart ... -
Diagnosis method for suspension-errors detection in electro-dynamic loud-speakers
Sala Caselles, Vicenç; Delgado Prieto, Miquel; Cusidó Roura, Jordi; Romeral Martínez, José Luis (2011)
Text en actes de congrés
Accés restringit per política de l'editorialIn this paper, the wear of the suspensions in a speaker. This phenomenon can be characterized and seen as a variation of half inductance seen from the amplifier, because that value depends directly on the minimum and ... -
Diagnosis methodology based on deep feature learning for fault identification in metallic, hybrid and ceramic bearings
Saucedo Dorantes, Juan Jose; Arellano Espitia, Francisco; Delgado Prieto, Miquel; Osornio Rios, Roque A. (Multidisciplinary Digital Publishing Institute (MDPI), 2021-08-30)
Article
Accés obertScientific and technological advances in the field of rotatory electrical machinery are leading to an increased efficiency in those processes and systems in which they are involved. In addition, the consideration of advanced ... -
Diagnosis Methodology Based on Statistical-time Features and Linear Discriminant Analysis Applied to Induction Motors
Saucedo Dorantes, Juan Jose; Osornio Rios, Roque A.; Delgado Prieto, Miquel; Romero Troncoso, René de Jesús (2017)
Text en actes de congrés
Accés restringit per política de l'editorialThe development of condition monitoring strategies is necessary to ensure the efficiency and reliability of the operation on electric machines. The feature calculation is an important signal processing step used to obtain ... -
Diagnosis methodology for identifying gearbox wear based on statistical time feature reduction
Saucedo Dorantes, Juan Jose; Delgado Prieto, Miquel; Osornio Rios, Roque A.; Romero Troncoso, René de Jesús (2017-01-01)
Article
Accés obertStrategies for condition monitoring are relevant to improve the operation safety and to ensure the efficiency of all the equipment used in industrial applications. The feature selection and feature extraction are suitable ... -
Directional ultrasound source for solid materials inspection: diffraction management in a metallic phononic crystal
Mohamed Selim, Hossameldin; Pico Vila, Rubén; Trull Silvestre, José Francisco; Delgado Prieto, Miquel; Cojocaru, Crina (Multidisciplinary Digital Publishing Institute (MDPI), 2020-10-29)
Article
Accés obertIn this work, we numerically investigate the diffraction management of longitudinal elastic waves propagating in a two-dimensional metallic phononic crystal. We demonstrate that this structure acts as an “ultrasonic lens”, ... -
Distributed neuro-fuzzy feature forecasting approach for condition monitoring
Zurita Millán, Daniel; Cariño Corrales, Jesús Adolfo; Delgado Prieto, Miquel; Ortega Redondo, Juan Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2014)
Text en actes de congrés
Accés restringit per política de l'editorialThe 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, ... -
Docker: Creación de contenedores
Romeral Martínez, José Luis; Delgado Prieto, Miquel; Ramírez Chávez, Mayra; Arellano Espitia, Francisco; Ustrell Castellet, Marc; Valls Pérez, Joan (2023-10-20)
Audiovisual
Accés obert -
Docker: Instalación de Docker
Romeral Martínez, José Luis; Delgado Prieto, Miquel; Ramírez Chávez, Mayra; Arellano Espitia, Francisco; Ustrell Castellet, Marc; Valls Pérez, Joan (2023-10-20)
Audiovisual
Accés obert