1,721,084 research outputs found
Diagnostic of a Faulty Induction Motor Drive via Wavelet Decomposition
No full textAn approach to the analysis of ac side current is presented for the purpose of identification of faults in the stator
phase resistance of an ac induction motor drive. The method relies on the correlation between wavelet decomposition coefficients of the current in healthy and faulty conditions. The findings highlight
that the fault causes waveform variations that are localized atspecific decomposition levels. The presented approach may open the way to efficient training for fault recognition systems
A Neuro-Fuzzy Application for AC Motor Drives Monitoring System
No full textCurrently industrial applications require suitable monitoring systems able to identify any decrease in efficiency resulting in economic losses. This paper shows that the information coming from a general purpose monitoring system can be usefully exploited to realize a sensorless instrument for the monitoring of an ac motor drive, and can be fed to a diagnostic tool for providing useful risk coefficients. The method is based on digital processing of the line signals acquired by means of a virtual instrument. The employed wavelet algorithms have been implemented within a Matlab environment, and risk coefficients are generated by means of suitable neurofuzzy algorithms
A Decentralized Observer for Electrical Power Systems: Implementation and Experimental Validation
No full textAbstract – In the last few years the growing in complexity of the electrical power networks, mainly due to the increased use of electronic converters together with the requirements of higher level of reliability and security, pushed the development of new techniques for the state estimation of the power systems. In this paper, the author focus their attention on the implementation and experimental validation of a decentralized observer for the state estimation in an electric ship, whose power network is characterized by fast dynamics and by the presence of many electronic devices. The proposed solution implements a Decentralized Information Filter(DIF)
Maximum Entropy Multivariate Analysis of Uncertain Dynamical Systems Based on the Wiener–Askey Polynomial Chaos
No full textMany measurement models are formalized in terms of a stochastic ordinary differential equation that relates its solution to some given observables. The expression of the measurement uncertainty for the solution that is evaluated at some time instants requires the determination of its (joint) probability density function. Recently, the polynomial chaos theory (PCT) has been widely recognized as a promising technique in order to address the problem. The uncertainty estimation via PCT requires the use of a Monte Carlo integration sampling strategy. In this paper, a novel approach will be presented in order to achieve PCT uncertainty estimation on the basis of an analytical methodology, requiring only optimization calculus
Diagnostic and model validation of a faulty induction motor drive via wavelet decomposition
No full textAn approach to the analysis of the AC side current is presented for the purpose of identification of faults in the stator phase resistance of an AC induction motor drive. The method relies on the correlation between wavelet decomposition coefficients of the current in healthy and faulty conditions. The findings highlight that the fault causes waveform variations localized at specific decomposition levels. The presented approach may open the way to efficient training for fault recognition systems
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