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Wyszukujesz frazę "sensor array" wg kryterium: Temat


Wyświetlanie 1-5 z 5
Tytuł:
Adaptive filtering-based current reconstruction in non-contact magnetic sensor array measurement system
Autorzy:
Chen, Yafeng
Huang, Qi
Powiązania:
https://bibliotekanauki.pl/articles/221214.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
current measurement
adaptive filtering
sensor array
gauss white noise
Opis:
The non-contact current measurement method with magnetic sensors has become a subject of research. Unfortunately, magnetic sensors fail to distinguish the interested magnetic field from nearby interference and suffer from gauss white noise due to the intrinsic noise of the sensor and external disturbance. In this paper, a novel adaptive filtering-based current reconstruction method with a magnetic sensor array is proposed. Interference-rejection methods based on two classic algorithms, the least-mean-square (LMS) and recursive-least-square (RLS) algorithms, are compared when used in the parallel structure and regular triangle structure of three-phase system. Consequently, the measurement range of RLS-based algorithm is wider than that of LMS-based algorithm. The results of carried out simulations and experiments show that RLS-based algorithms can measure currents with an error of around 1%. Additionally, the RLS-based algorithm can filter the gauss white noise whose magnitude is within 10% of the linear magnetic field range of the sensor.
Źródło:
Metrology and Measurement Systems; 2019, 26, 4; 697-711
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Hydrogen Detection With a Gas Sensor Array – Processing and Recognition of Dynamic Responses Using Neural Networks
Autorzy:
Gwiżdż, P.
Brudnik, A.
Zakrzewska, K.
Powiązania:
https://bibliotekanauki.pl/articles/221723.pdf
Data publikacji:
2015
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
gas sensor
sensor array
temperature modulation
dynamic response
feature extraction
neural networks
Opis:
An array consisting of four commercial gas sensors with target specifications for hydrocarbons, ammonia, alcohol, explosive gases has been constructed and tested. The sensors in the array operate in the dynamic mode upon the temperature modulation from 350°C to 500°C. Changes in the sensor operating temperature lead to distinct resistance responses affected by the gas type, its concentration and the humidity level. The measurements are performed upon various hydrogen (17-3000 ppm), methane (167-3000 ppm) and propane (167-3000 ppm) concentrations at relative humidity levels of 0-75%RH. The measured dynamic response signals are further processed with the Discrete Fourier Transform. Absolute values of the dc component and the first five harmonics of each sensor are analysed by a feed-forward back-propagation neural network. The ultimate aim of this research is to achieve a reliable hydrogen detection despite an interference of the humidity and residual gases.
Źródło:
Metrology and Measurement Systems; 2015, 22, 1; 3-12
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A feedback weighted fusion algorithm with dynamic sensor bias correction for gyroscope array
Autorzy:
Yuan, Ding
Qin, Yongyuan
Shen, Xiaowei
Wu, Zongwei
Powiązania:
https://bibliotekanauki.pl/articles/1848956.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
inertial sensor
gyroscope array
weighted fusion
bias correction
Opis:
Low-cost Micro-Electromechanical System (MEMS) gyroscopes are known to have a smaller size, lower weight, and less power consumption than their more technologically advanced counterparts. However, current low-grade MEMS gyroscopes have poor performance and cannot compete with quality sensors in high accuracy navigational and guidance applications. The main focus of this paper is to investigate performance improvements by fusing multiple homogeneous MEMS gyroscopes. These gyros are transformed into a virtual gyro using a feedback weighted fusion algorithm with dynamic sensor bias correction. The gyroscope array combines eight homogeneous gyroscope units on each axis and divides them into two layers of differential configuration. The algorithm uses the gyroscope array estimation value to remove the gyroscope bias and then correct the gyroscope array measurement value. Then the gyroscope variance is recalculated in real time according to the revised measurement value and the weighted coefficients and state estimation of each gyroscope are deduced according to the least square principle. The simulations and experiments showed that the proposed algorithm could further reduce the drift and improve the overall accuracy beyond the performance limitations of individual gyroscopes. The maximum cumulative angle error was -2.09 degrees after 2000 seconds in the static test, and the standard deviation (STD) of the output fusion value of the proposed algorithm was 0.006 degrees/s in the dynamic test, which was only 1.7% of the STD value of an individual gyroscope.
Źródło:
Metrology and Measurement Systems; 2021, 28, 1; 161-179
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Characteristics of an image sensor with early-vision processing fabricated in standard 0.35 žm CMOS technology
Autorzy:
Jendernalik, W.
Jakusz, J.
Blakiewicz, G.
Szczepański, S.
Piotrowski, R.
Powiązania:
https://bibliotekanauki.pl/articles/220599.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
CMOS imager
analogue processor array
smart sensor
vision chip
Opis:
The article presents measurement results of prototype integrated circuits for acquisition and processing of images in real time. In order to verify a new concept of circuit solutions of analogue image processors, experimental integrated circuits were fabricated. The integrated circuits, designed in a standard 0.35 žm CMOS technology, contain the image sensor and analogue processors that perform low-level convolution-based image processing algorithms. The prototype with a resolution of 32 x 32 pixels allows the acquisition and processing of images at high speed, up to 2000 frames/s. Operation of the prototypes was verified in practice using the developed software and a measurement system based on a FPGA platform.
Źródło:
Metrology and Measurement Systems; 2012, 19, 2; 191-202
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
CMOS realisation of analogue processor for early vision processing
Autorzy:
Jendernalik, W.
Jakusz, J.
Blakiewicz, G.
Piotrowski, R.
Szczepański, S.
Powiązania:
https://bibliotekanauki.pl/articles/202320.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
CMOS imager
analogue processor array
smart sensor
vision chip
Opis:
The architecture concept of a high-speed low-power analogue vision chip, which performs low-level real-time image algorithms is presented. The proof-of-concept prototype vision chip containing 32 �~ 32 photosensor array and 32 analogue processors is fabricated using a 0.35 mikrom CMOS technology. The prototype can be configured to register and process images with very high speed, reaching 2000 frames per second, or achieve very low power consumption, several mikroW. Finally, the experimental results are presented and discussed.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2011, 59, 2; 141-147
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-5 z 5

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