Now showing items 1-20 of 60

    • A novel condition monitoring scheme for bearing faults based on Curvilinear Component Analysis and hierarchical neural networks 

      Delgado Prieto, Miquel; Cirrincione,, Giansalvo; García Espinosa, Antonio; Ortega Redondo, Juan Antonio; Henao, Humberto (2012)
      Conference report
      Restricted access - publisher's policy
      Mostly 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 ...
    • Accurate Bearing Faults Classification based on Statistical-Time Features, Curvilinear Component Analysis and Neural Networks 

      Delgado Prieto, Miquel; Cirrincione,, Giansalvo; García Espinosa, Antonio; Ortega Redondo, Juan Antonio; Henao, Humberto (2012)
      Conference report
      Restricted access - publisher's policy
      Bearing 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 ...
    • Active learning based laboratory towards engineering education 4.0 

      Delgado Prieto, Miquel; Fernández Sobrino, Ángel; Ruiz Soto, Lucía; Romero Durán, David; Fibla Biosca, Pere; Romeral Martínez, José Luis (2019)
      Conference report
      Open Access
      Universities have a relevant and essential key role to ensure knowledge and development of competencies in the current fourth industrial revolution called Industry 4.0. The Industry 4.0 promotes a set of digital technologies ...
    • Activity-aware HVAC power demand forecasting 

      Sala Cardoso, Enric; Delgado Prieto, Miquel; Kampouropoulos, Konstantinos; Romeral Martínez, José Luis (2018-07-01)
      Article
      Open Access
      The forecasting of the thermal power demand is essential to support the development of advanced strategies for the management of local resources on the consumer side, such as heating ventilation and air conditioning (HVAC) ...
    • An acoustic emission activity detection method based on short-term waveform features: application to metallic components under uniaxial tensile test 

      Piñal Moctezuma, Juan Fernando; Delgado Prieto, Miquel; Romeral Martínez, José Luis (2020-08-01)
      Article
      Restricted access - publisher's policy
      The Acoustic Emission (AE) phenomenon has been used as a powerful tool with the purpose to either detect, locate or assess damage for a wide range of applications. Derived from its monitoring, one major current challenge ...
    • Analysis of machine learning based condition monitoring schemes applied to complex electromechanical systems 

      Arellano Espitia, Francisco; González Abreu, Artvin Darién; Delgado Prieto, Miquel; Saucedo Dorantes, Juan Jose; Osornio Rios, Roque A. (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Conference report
      Restricted access - publisher's policy
      In the modern industry framework, the application of condition monitoring schemes over electromechanical systems is being subjected to demanding requirements. Currently, the massive digitalization of industrial assets ...
    • Autoencoder based feature reduction analysis applied to electromechanical systems condition monitoring 

      Arellano Espitia, Francisco; Saucedo Dorantes, Juan Jose; Delgado Prieto, Miquel; Osornio Rios, Roque A. (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Conference report
      Restricted access - publisher's policy
      Condition monitoring in electromechanical systems represents, currently, one of the most critical challenges dealing with the advancement and modernization in intelligent manufacturing. In this regard, machine learning ...
    • Bearing fault detection by a novel condition-monitoring scheme based on statistical-time features and neural networks 

      Delgado Prieto, Miquel; Cirrincione, Giansalvo; García Espinosa, Antonio; Ortega Redondo, Juan Antonio; Henao, Humberto (Institute of Electrical and Electronics Engineers (IEEE), 2013-08)
      Article
      Restricted access - publisher's policy
      Bearing 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 

      Cirrincione,, Giansalvo; Henao, Humberto; Delgado Prieto, Miquel; Ortega Redondo, Juan Antonio (IEEE Computer Society Publications, 2012)
      Conference report
      Open Access
      EXIN 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 ...
    • Bearings fault detection using inference tools 

      Delgado Prieto, Miquel; Cusidó Roura, Jordi; Romeral Martínez, José Luis (In-Tech, 2011-09)
      Part of book or chapter of book
      Open Access
      The most used electric machine in the industry is the Induction Motor (IM), due to its simplicity and reduced cost. The analysis of the origin of IMs failures exhibits that the bearings are the major source of fault, and ...
    • 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
      Open Access
      This 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 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)
      Conference report
      Open Access
      Condition-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
      Open Access
      The 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)
      Doctoral thesis
      Open Access
      Electromechanical 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
      Conference report
      Restricted access - publisher's policy
      Condition 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 ...
    • 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
      Restricted access - publisher's policy
      This 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
      Restricted access - publisher's policy
      This 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
      Open Access
      Demagnetization 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 method for suspension-errors detection in electro-dynamic loud-speakers 

      Sala Caselles, Vicenç; Delgado Prieto, Miquel; Cusidó Roura, Jordi; Romeral Martínez, José Luis (2011)
      Conference report
      Restricted access - publisher's policy
      In 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 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)
      Conference report
      Restricted access - publisher's policy
      The 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 ...