Embedded Artificial Neuval Network-Based Real-Time Half-Wave Dynamic Resistance Estimation during the A.C. Resistance Spot Welding Process
Online monitoring of the instantaneous resistance variation during the A.C. resistance spot welding is of paramount importance for the weld quality control. On the basis of the welding transformer circuit model, a new method is proposed to measure the transformer primary-side signal for estimating t...
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2013-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2013/862076 |
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doaj-713ad93912d542129c41220d9c7906ef2020-11-24T21:44:24ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472013-01-01201310.1155/2013/862076862076Embedded Artificial Neuval Network-Based Real-Time Half-Wave Dynamic Resistance Estimation during the A.C. Resistance Spot Welding ProcessLiang Gong0Yan Xi1Chengliang Liu2Institute of Mechatronics, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, ChinaDepartment of Electrical Engineering, Yantai Vocational College, Yantai, Shandong 264000, ChinaInstitute of Mechatronics, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, ChinaOnline monitoring of the instantaneous resistance variation during the A.C. resistance spot welding is of paramount importance for the weld quality control. On the basis of the welding transformer circuit model, a new method is proposed to measure the transformer primary-side signal for estimating the secondary-side resistance in each 1/4 cycle. The tailored computing system ensures that the measuring method possesses a real-time computational capacity with satisfying accuracy. Since the dynamic resistance cannot be represented via an explicit function with respect to measurable parameters from the primary side of the welding transformer, an offline trained embedded artificial neural network (ANN) successfully realizes the real-time implicit function calculation or estimation. A DSP-based resistance spot welding monitoring system is developed to perform ANN computation. Experimental results indicate that the proposed method is applicable for measuring the dynamic resistance in single-phase, half-wave controlled rectifier circuits.http://dx.doi.org/10.1155/2013/862076 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Liang Gong Yan Xi Chengliang Liu |
spellingShingle |
Liang Gong Yan Xi Chengliang Liu Embedded Artificial Neuval Network-Based Real-Time Half-Wave Dynamic Resistance Estimation during the A.C. Resistance Spot Welding Process Mathematical Problems in Engineering |
author_facet |
Liang Gong Yan Xi Chengliang Liu |
author_sort |
Liang Gong |
title |
Embedded Artificial Neuval Network-Based Real-Time Half-Wave Dynamic Resistance Estimation during the A.C. Resistance Spot Welding Process |
title_short |
Embedded Artificial Neuval Network-Based Real-Time Half-Wave Dynamic Resistance Estimation during the A.C. Resistance Spot Welding Process |
title_full |
Embedded Artificial Neuval Network-Based Real-Time Half-Wave Dynamic Resistance Estimation during the A.C. Resistance Spot Welding Process |
title_fullStr |
Embedded Artificial Neuval Network-Based Real-Time Half-Wave Dynamic Resistance Estimation during the A.C. Resistance Spot Welding Process |
title_full_unstemmed |
Embedded Artificial Neuval Network-Based Real-Time Half-Wave Dynamic Resistance Estimation during the A.C. Resistance Spot Welding Process |
title_sort |
embedded artificial neuval network-based real-time half-wave dynamic resistance estimation during the a.c. resistance spot welding process |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2013-01-01 |
description |
Online monitoring of the instantaneous resistance variation during the A.C. resistance spot welding is of paramount importance for the weld quality control. On the basis of the welding transformer circuit model, a new method is proposed to measure the transformer primary-side signal for estimating the secondary-side resistance in each 1/4 cycle. The tailored computing system ensures that the measuring method possesses a real-time computational capacity with satisfying accuracy. Since the dynamic resistance cannot be represented via an explicit function with respect to measurable parameters from the primary side of the welding transformer, an offline trained embedded artificial neural network (ANN) successfully realizes the real-time implicit function calculation or estimation. A DSP-based resistance spot welding monitoring system is developed to perform ANN computation. Experimental results indicate that the proposed method is applicable for measuring the dynamic resistance in single-phase, half-wave controlled rectifier circuits. |
url |
http://dx.doi.org/10.1155/2013/862076 |
work_keys_str_mv |
AT lianggong embeddedartificialneuvalnetworkbasedrealtimehalfwavedynamicresistanceestimationduringtheacresistancespotweldingprocess AT yanxi embeddedartificialneuvalnetworkbasedrealtimehalfwavedynamicresistanceestimationduringtheacresistancespotweldingprocess AT chengliangliu embeddedartificialneuvalnetworkbasedrealtimehalfwavedynamicresistanceestimationduringtheacresistancespotweldingprocess |
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