Now showing items 1-20 of 47

  • 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 ...
  • Activity-aware HVAC power demand forecasting 

    Sala Cardoso, Enric; Delgado Prieto, Miquel; Kampouropoulos, Konstantinos; Romeral Martínez, José Luis (2018-07-01)
    Article
    Restricted access - publisher's policy
    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) ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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
    Open Access
    Strategies 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 ...
  • 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)
    Conference report
    Restricted access - publisher's policy
    The 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, ...
  • EMA fault detection using fuzzy inference tools 

    Cusidó Roura, Jordi; Delgado Prieto, Miquel; Romeral Martínez, José Luis (2012-03-02)
    Part of book or chapter of book
    Open Access
    Acoustic emission (AE) is one of the most important non-destructive testing (NDT) methods for materials, constructions and machines. Acoustic emission is defined as the transient elastic energy that is spontaneously released ...
  • Enhanced Industrial Machinery Condition Monitoring Methodology based on Novelty Detection and Multi-Modal Analysis 

    Cariño Corrales, Jesús Adolfo; Delgado Prieto, Miquel; Zurita Millán, Daniel; Millan, Marta; Ortega Redondo, Juan Antonio; Romero Troncoso, Rene De Jesus (Institute of Electrical and Electronics Engineers (IEEE), 2016-10-19)
    Article
    Open Access
    This paper presents a condition-based monitoring methodology based on novelty detection applied to industrial machinery. The proposed approach includes both, the classical classification of multiple a priori known scenarios, ...
  • Evaluation of feature calculation methods for electromechanical system diagnosis 

    Delgado Prieto, Miquel; García Espinosa, Antonio; Ortega Redondo, Juan Antonio (IEEE Press. Institute of Electrical and Electronics Engineers, 2011)
    Conference report
    Restricted access - publisher's policy
    The 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 

    Delgado Prieto, Miquel; García Espinosa, Antonio; Urresty Betancourt, Julio César; Riba Ruiz, Jordi-Roger; Ortega Redondo, Juan Antonio (IEEE Press. Institute of Electrical and Electronics Engineers, 2011)
    Conference report
    Open Access
    The 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 ...