[EN] The analysis of the vibration response of electrical machines has importance in noise prediction and more recently, diagnosis of electrical faults, especially in the industrial environment, where it is a well-known ...

[EN] In this paper, a general methodology based on the application of discrete wavelet transform (DWT) to the diagnosis of the cage motor condition using transient stator currents is exposed. The approach is based on ...

[EN] Predictive maintenance of electric motors is a topic of increasing importance in many industrial applications. The mining industry is not an exception; many electric motors operating in mining facilities are critical ...

[EN] Anumber of field case studies for rotor fault diagnosis on medium-voltage induction motors operating in a petrochemical plant are presented in this paper. The methodology employed is based on analyzing the induction ...

[EN] This work present a group of tools based on the fast Fourier transform (FFT) and Haar, Daubechies and Coiflet discrete wavelet transform (DWT), using the Park's instantaneous space phasor module (ISP) of the three phase ...

[ES] El objetivo es analizar la validez de la técnica de análisis de flujo de dispersión para el diagnóstico de fallos mediante ensayos en laboratorio. Se estudiarán y analizarán señales en régimen permanente y transitorio. ...

[EN] The problem of the bar breakage diagnosis in electrical induction cage machines is a matter of increasing concern nowadays, due to the widely spread use of these machines in the industry. The classical approach, focused ...

[EN] AC lines of industrial busbar systems are usually built using conductors with rectangular cross sections, where each phase can have several parallel conductors to carry high currents. The current density in a rectangular ...

[EN] The diagnosis of induction machines through the use of methods based on the study of the startup current has become an issue of special interest. These techniques may provide, in certain situations (unbalanced supply ...

[EN] This work proposes a new method for fault diagnosis in electric power systems based on neural modules. With this method the diagnosis is performed by assigning a generic neural module for each type of element within ...