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Identification of structural parameters for active vibration control
(2006-12-01)
The study of algorithms for active vibration control in flexible structures became an area of enormous interest for some researchers due to the innumerable requirements for better performance in mechanical systems, as for ...
System Identification and active modal control of a flexible truss structure
(2015-01-01)
The aim of this paper is to illustrate the active control of vibration of a flexible truss structure using a model-based digital controller. The state-space model of the system is derived using a system identification ...
Fast identification of individuals based on iris characteristics for biometric systems
(2012-02-13)
Nowadays, systems based on biométrie techniques have a wide acceptance in many different areas, due to their levels of safety and accuracy. A biometrie technique that is gaining prominence is the identification of individuals ...
Neural approach for automatic identification of induction motor load torque in real-time industrial applications
(Ieee, 2006-01-01)
Induction motors are widely used in several industrial sectors. However, the dimensioning of induction motors is often inaccurate because, in most cases, the load behavior in the shaft is completely unknown. The proposal ...
Damage detection in nonlinear structures using discrete-time volterra series
(2013-09-16)
Structural damage identification is basically a nonlinear phenomenon; however, nonlinear procedures are not used currently in practical applications due to the complexity and difficulty for implementation of such techniques. ...
Estimation of electrical machine speed using sensorless technology and neural networks
(2008-12-01)
The use of sensorless technologies is an increasing tendency on industrial drivers for electrical machines. The estimation of electrical and mechanical parameters involved with the electrical machine control is used very ...
Identifying multiple interacting bad data in power system state estimation
(2005-10-31)
This paper presents an intelligent search strategy for the conforming bad data errors identification in the generalized power system state estimation, by using the tabu search meta heuristic. The main objective is to detect ...
Fault identification in distribution lines using intelligent systems and statistical methods
(2006-12-01)
The main objective involved with this paper consists of presenting the results obtained from the application of artificial neural networks and statistical tools in the automatic identification and classification process ...
An approach based on neural networks for identification of fault sections in radial distribution systems
(2006-12-01)
The main objective involved with this paper consists of presenting the results obtained from the application of artificial neural networks and statistical tools in the automatic identification and classification process ...
What is the importance of selecting features for non-technical losses identification?
(2011-08-02)
Although non-technical losses automatic identification has been massively studied, the problem of selecting the most representative features in order to boost the identification accuracy has not attracted much attention ...