scholarly journals An Extender Kalman Filter-based Induction Machines Faults Detection

2016 ◽  
Vol 6 (2) ◽  
pp. 535 ◽  
Author(s):  
Abdelghani Chahmi ◽  
Mokhtar Bendjebbar ◽  
Bertrand Raison ◽  
Mohamed Benbouzid
Keyword(s):  
Experimental Data ◽  
Kalman Filter ◽  
Induction Machines ◽  
Simulation Tools ◽  
Electrical Drives ◽  
Efficient Simulation ◽  
Processing Techniques ◽  
Detection And Localization ◽  
Signal Processing Techniques ◽  
Diagnosis Approach

This paper deals with the detection and localization of electrical drives faults, especially those containing induction machines. First, the context of the study is presented and an Extended Kalman Filter is described for induction machines fault detection. Then the modeling procedure under faulty conditions is shown, and the machine diagnosis methods are developed. The proposed diagnosis approach requires only little experimental data, and more importantly it provides efficient simulation tools that allow characterizing faulty behavior.Fault detection uses signal processing techniques in known operating phases (fixed speed), considering and locating malfunctions.

scholarly journals An Extender Kalman Filter-based Induction Machines Faults Detection

2016 ◽  
Vol 6 (2) ◽  
pp. 535
Author(s):  
Abdelghani Chahmi ◽  
Mokhtar Bendjebbar ◽  
Bertrand Raison ◽  
Mohamed Benbouzid
Keyword(s):  
Experimental Data ◽  
Kalman Filter ◽  
Induction Machines ◽  
Simulation Tools ◽  
Electrical Drives ◽  
Efficient Simulation ◽  
Processing Techniques ◽  
Detection And Localization ◽  
Signal Processing Techniques ◽  
Diagnosis Approach

This paper deals with the detection and localization of electrical drives faults, especially those containing induction machines. First, the context of the study is presented and an Extended Kalman Filter is described for induction machines fault detection. Then the modeling procedure under faulty conditions is shown, and the machine diagnosis methods are developed. The proposed diagnosis approach requires only little experimental data, and more importantly it provides efficient simulation tools that allow characterizing faulty behavior.Fault detection uses signal processing techniques in known operating phases (fixed speed), considering and locating malfunctions.

scholarly journals Higher-Order Spectral Analysis of Stray Flux Signals for Faults Detection in Induction Motors

2020 ◽  
Vol 5 (2) ◽  
pp. 1-14 ◽  
Author(s):  
Miguel E. Iglesias Martínez ◽  
Jose A. Antonino-Daviu ◽  
Pedro Fernández de Córdoba ◽  
J. Alberto Conejero
Keyword(s):  
Signal Analysis ◽  
Induction Motors ◽  
Induction Machines ◽  
Point Of View ◽  
Electrical Machines ◽  
Standard Methods ◽  
Current Trends ◽  
Processing Techniques ◽  
Signal Processing Techniques ◽  
Theoretical Foundations

AbstractThis work is a review of current trends in the stray flux signal processing techniques applied to the diagnosis of electrical machines. Initially, a review of the most commonly used standard methods is performed in the diagnosis of failures in induction machines and using stray flux; and then specifically it is treated and performed the algorithms based on statistical analysis using cumulants and polyspectra. In addition, the theoretical foundations of the analyzed algorithms and examples applications are shown from the practical point of view where the benefits that processing can have using HOSA and its relationship with stray flux signal analysis, are illustrated.

Enhanced Simulation Tools for Analyzing Signal Processing Techniques in the Optical Transmission Path

2021 ◽  
pp. 337-380
Author(s):  
Rastislav Róka
Keyword(s):  
Signal Processing ◽  
Optical Networks ◽  
Optical Transmission ◽  
Single Channel ◽  
5G Networks ◽  
Simulation Tools ◽  
Transmission Path ◽  
Optical Transmission Systems ◽  
Processing Techniques ◽  
Signal Processing Techniques

With emerging applications and needs of ever-increasing bandwidth, it is anticipated that 5G networks with much higher bandwidth present a natural path forward to satisfy these demands. For 5G network operators, it is interesting and profitable to develop valuable broadband optical networks at the same time. Broadband optical networks naturally utilize the optical transmission medium, and for increasing transmission rates of broadband applications and services in 5G networks, it is necessary to characterize and investigate some specific features of advanced signal processing techniques utilized in the optical transmission path. For this case, advanced techniques must also be analyzed and evaluated for real long-distance, metropolitan, and access optical networks as an integral part of 5G networks. In this chapter, enhanced simulation tools for analyzing advanced signal processing techniques in the optical transmission path are presented together with possibilities for their practical implementations in real single-channel and multi-channel optical transmission systems.

scholarly journals Analysis of signal processing techniques for optical 112 Gb/s DP-QPSK receivers with experimental data

2011 ◽  
Vol 10 (1) ◽  
pp. 155-164 ◽  
Author(s):  
Thiago F. Portela ◽  
Diego V. Souto ◽  
Valery N. Rozental ◽  
Hugo B. Ferreira ◽  
Darli A. A. Mello ◽  
...  
Keyword(s):  
Experimental Data ◽  
Signal Processing ◽  
Processing Techniques ◽  
Signal Processing Techniques
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