LabView merilnik signalov nizkonapetostnega električnega omrežja

diplomsko delo

Aleš Gašper (Author), Peter Planinšič (Mentor)

Abstract

V diplomski nalogi smo se osredotočili na izdelavo merilnega instrumenta, ki omogoča zajemanje, prikaz in analizo motenih signalov nizkonapetostnega električnega omrežja. Na podlagi tega smo izbrali tehnično ustrezno kartico za zajemanje merilnih podatkov (DAQ). Preučili smo različne možnosti galvanske ločitve in izdelali ustrezno prilagoditveno vezje z izolacijskim ojačevalnikom, ki je sposobno ohraniti obliko oziroma frekvenčno vsebino signala. V programskem okolju LabVIEW smo izdelali virtualni instrument za merjenje, analizo in prikazovanje signalov. Analizo smo izvedli z računanjem značilnih parametrov signala, uporabo algoritma hitre Fouriereve transformacije (FFT) ter algoritma diskretne valčne transformacije (DWT).

Keywords

moteni signali;LabView;merilniki;prilagoditveno vezje;nizkonapetostno električno omrežje;

Data

Language:	Slovenian
Year of publishing:	2013
Typology:	2.11 - Undergraduate Thesis
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher:	[A. Gašper]
UDC:	621.317.3(043.2)
COBISS:	17104662
Views:	1672
Downloads:	210
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	LABVIEW INSTRUMENT FOR LOW VOLTAGE POWER SUPPLY SIGNALS MEASUREMENTS
Secondary abstract:	In this graduate thesis, we focused on the design of measuring instrument which enable acquisition, analyzing and displaying the disturbed signals of low-voltage power supply. On this basis, we selected technically compliant card for measurement data acquisition (DAQ). We have studied different options for galvanic isolation and designed a proper signal conditioning circuit with isolation amplifier which preserves the shape, i.e. frequency content of the signal. We used program LabVIEW to create virtual instrument for measurement, analysis and displaying the signals. We performed analysis by calculating the significant parameters of the signal, the Fast Fourier Transform algorithm (FFT) and the Discrete Wavelet Transform algorithm (DWT).
Secondary keywords:	disturbed signals;measurement;signal conditioning circuit;low-voltage power supply;
URN:	URN:SI:UM:
Type (COBISS):	Bachelor thesis/paper
Thesis comment:	Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko
Pages:	IX, 48 f.
ID:	8726356