Data Acquisition and Processing with Fusion Sensors, Used in Algorithms for Increasing Accuracy of Position Measurement of Mobile Robots

Author(s):  
Sandru Florin ◽  
Nanu Sorin ◽  
Negrea Romeo ◽  
Popescu Anca ◽  
Fericel Sergiu
2010 ◽  
Vol 2010 ◽  
pp. 1-8
Author(s):  
Zengshi Chen ◽  
Wenzhong Gao

Precise and fast position measurement has been a challenging problem in computerized numerical controller (CNC) machines where parts need to be processed at a high speed. This paper inspects data acquisition and processing on a high-speed tube cutting Siemens 840D CNC machine with Windows NT.40 operating system and analyzes the constraints of the old procedure on the production speed. The more efficient technical tactics are proposed and implemented. The laser is added to the system to perform the same data acquisition while the function of the capacitive sensor is kept. A dual data acquisition system is thus created and the old one functions as a backup. In the retrofit, the affordable and practical data communication method is used, the sensor physical movement is avoided, the algorithm is optimized with requirement of less data, and computation of the algorithm is moved from numerical controller unit (NCU) to personal computer unit (PCU). For every tube part, the laser approach reduces the data acquisition and processing time to 4 seconds, compared to 12 seconds with a capacitive sensor.


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

2007 ◽  
Vol 58 (6) ◽  
pp. 698-703 ◽  
Author(s):  
Constantin A. Landes ◽  
Michael Trolle ◽  
Robert Sader

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