Solving data acquisition and processing problems in power systems using a pattern analysis approach

1991 ◽  
Vol 138 (4) ◽  
pp. 365 ◽  
Author(s):  
A.P. Alves da Silva ◽  
V.H. Quintana ◽  
G.K.H. Pang
2015 ◽  
Vol 772 ◽  
pp. 541-545 ◽  
Author(s):  
Anca Purcaru ◽  
Dorina Mioara Purcaru ◽  
Ioan Mircea Gordan

Many programmable electronic modules for data acquisition and processing can be found in power systems. To monitor and record different specific high speed transient events in energetic systems, an adequate data acquisition and processing method is required. This paper deals with such method and its application in data acquisition for implementation of complex protection functions. The acquisition routine for analog and digital channels, detailed acquisition and storing process for analog and digital values, storing and calculation method for acquired digital and analog values are all presented. The proposed method is adequate for many and various practical applications which require high speed data acquisition systems.


1990 ◽  
Vol 51 (C2) ◽  
pp. C2-939-C2-942 ◽  
Author(s):  
N. DINER ◽  
A. WEILL ◽  
J. Y. COAIL ◽  
J. M. COUDEVILLE

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yanfei Yang ◽  
Mingzhu Xu ◽  
Aimin Liang ◽  
Yan Yin ◽  
Xin Ma ◽  
...  

AbstractIn this study, a wearable multichannel human magnetocardiogram (MCG) system based on a spin exchange relaxation-free regime (SERF) magnetometer array is developed. The MCG system consists of a magnetically shielded device, a wearable SERF magnetometer array, and a computer for data acquisition and processing. Multichannel MCG signals from a healthy human are successfully recorded simultaneously. Independent component analysis (ICA) and empirical mode decomposition (EMD) are used to denoise MCG data. MCG imaging is realized to visualize the magnetic and current distribution around the heart. The validity of the MCG signals detected by the system is verified by electrocardiogram (ECG) signals obtained at the same position, and similar features and intervals of cardiac signal waveform appear on both MCG and ECG. Experiments show that our wearable MCG system is reliable for detecting MCG signals and can provide cardiac electromagnetic activity imaging.


1989 ◽  
Vol 24 (9) ◽  
pp. 66-71
Author(s):  
Z. Defu ◽  
Y. Peigen ◽  
S. Zhongxiu

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