Format: HTML | BibTeX | DC | EndNote | NLM | MARC | MARCXML
Published Article / ENY-ARTICLE-2008-030

Detection of the Fundamental Harmonic of Distorted Signals using Min-Norm Method

Lobos, T (Wroclaw university of Technology, Poland) ; Leonowicz, Z (Wroclaw university of Technology, Poland) ; Piotrowicz, J (Wroclaw university of Technology, Poland)

1999-07-01

Abstract: Spectrum analysis is a fundamental tool for diagnostic purposes widely used in monitoring and diagnostic systems. Estimation of frequencies of multiple sinusoids in the presence of noise arises in many areas of electrical power engineering. The most recent methods of spectrum estimation are based on the linear algebraic concepts of subspaces. Min-norm harmonic retrieval method is an example of eigenstructure-based methods, which yield high resolution and asymptotically exact results. In this paper some results of simulation investigations of inverter-fed induction motor drive are presented. We use the EMTP-ATP program to simulate the PWM converter supplying an asynchronous motor. A measuring system consisting of the data acquisition module SigLab™ and a personal computer was realised and tested.

Keyword(s): EMTP ; Siglab ; Matlab ; distorted signals ; fundamental harmonic
Note: X. International Symposium on Theoretical Electrical Engineering, September 6-9, 1999 in Magdeburg (Germany)


Fulltext : http://zet10.ipee.pwr.wroc.pl/record/37/files/

Cited by: try citation search for ENY-ARTICLE-2008-030

Rekord stworzony 2008-03-09, ostatnia modyfikacja 2008-03-09

Podobne rekordy


 
Osoby, które oglądały tę stronę, oglądały również:
(947)  Proceedings of the Int. Conference "7th EEEIC International Workshop on Environment and Electrical Engineering" - Schwarz, H et al - ENY-PREPRINT-2008-008
(928)  Impact of Distributed Generation on Electrical Power Network - Khan, U N - ENY-ARTICLE-2008-142
(928)  Evaluation of compensation devices of DC arc furnaces using advanced spectrum estimation methods - Bracale, A et al - ENY-ARTICLE-2008-011
(927)  Adaptacyjne sieci neuronowe w zastosowaniu do identyfikacji stanu układów elektrycznych - Kostyla, P - ENY-THESIS-2008-005
(904)  Measurement of IEC Groups and Subgroups Using Advanced Spectrum Estimation Methods - Bracale, A et al - ENY-ARTICLE-2008-117

 
Oceń ten dokument:
Bądź pierwszy i oceń ten dokument.


Dyskusja nad tym dokumentem:
Rozpocznij dyskusję o tym dokumencie.