André Eugênio Lazzaretti

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The identification of nonlinear systems with artificial neural networks models has been successfully used in many applications. Most processes in industry are characterized by nonlinear and time-varying behavior. In this context, the identification of mathematical models for nonlinear systems is vital in many fields of engineering. The Radial Basis Function(More)
—This paper presents a method for automatic classification of faults and events related to quality of service in electricity distribution networks. The method consists in preprocessing event oscillographies using the wavelet transform and then classifying them using autonomous neural models. In the preprocessing stage, the energy present in each sub-band of(More)
This paper proposes a new approach to motion segmen-tation from video sequences acquired using a single camera , whose aim is to identify which components are due to pure egomotion and which components are due to independent moving objects within the observed motion field. The model has three main steps, namely computation of the optical flow field,(More)
This article describes the development of a R&D project of a distribution transformer with integrated electricity measuring system. The system has as main objective the energy measurement of the transformers customer consumption and offers various information related to electrical distribution network to the utility and informs in real time the(More)
—This paper presents a new approach for automatic oscillography classification in distribution networks, including the detection of patterns not initially presented to the classifier during training, which are defined as novelties. We performed experiments with coupled novelty detection and multi-class classification , and also in separate stages, using the(More)
This paper describes the development of a prototype of an enclosure for a fuse cutout, for distribution networks of class 15 kV and 36.2 kV. The purpose of the enclosure is to protect the fuse cutout against third party intervention and ensure that only linemen will be able to perform maneuvers and maintenance. Besides protecting the fuse cutout, the(More)
—This paper presents some new results for a fundamental step in automatic oscillography analysis: transient detection. We performed experiments with usual detection methods, such as the Kalman filter (KF) and autoregressive (AR) models, and we are proposing a new method based on the Discrete Wavelet Transform (DWT) and Support Vector Data Description(More)