[1]Liu Guangrui,Zhou Wenbo,Tian Xin,et al.Application of Information Fusion in Welding based on Arc and Ultrasonic sensor[J].Journal of Zhengzhou University (Engineering Science),2017,38(05):28-31,38.[doi:10.13705/j.issn.1671-6833.2017.02.025]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
38
Number of periods:
2017 05
Page number:
28-31,38
Column:
Public date:
2017-09-26
- Title:
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Application of Information Fusion in Welding based on Arc and Ultrasonic sensor
- Author(s):
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Liu Guangrui; Zhou Wenbo; Tian Xin; Guo Kefu
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School of Mechanical Engineering, Zhengzhou University, Zhengzhou, Henan 450001
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- Keywords:
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- CLC:
-
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- DOI:
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10.13705/j.issn.1671-6833.2017.02.025
- Abstract:
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BP neural network for effectively fusioning the information obtained by arc sensor and ultrasonic sensor and information of welding parameters such as welding current,welding speed,welding groove and so on was used to obtain the prediction model of weld penetration depth.Simulation results showed that:the prediction model of weld penetration depth could measure the weld penetration quickly,accurately and in real time.For the precise control of weld penetration,parameters self-tuning fuzzy PID controller was desing,which combined with the advantages of traditional PID controller and fuzzy controller.Smulation results showed that compared with traditional PID controller,parameters self-tuning fuzzy PID controller had a significant advantage in the performance of the system.