在许多没有实现自动化焊接的工业领域，采用了大量的人工焊接的方法。
There is no automatic welding in many industrial areas of welding, using a large number of methods with manual welding.
汽车组装线上越来越多得使用焊接机器人，机器焊接的质量水平比人工焊接更可靠。
Welding robots increasingly are being employed on automobile assembly lines, as quality levels are more reliable than with human welders.
据实际测试，道路铺设焊接钢丝网比人工帮扎网，能够减少75%以上的裂缝发生。
According to the actual test, road laying welded wire netting than artificial help, can reduce the crack occurs above 75%.
实验证明基于多传感器和人工神经网络的焊接质量检测系统是有效的。
The experiments show that the welding quality prediction system based on more sensors and ANN is efficacious.
介绍了前桥焊接机器人工作站的结构和控制系统设计。
The structure and control of robot welding station for front bridge of automobile was introduced.
螺柱提起高度、送下深度、提起和送下速度等焊接参数的设定由程序控制，减少了人工调整的随机误差；
The setting of welding parameters, involving stud lifting height, stud sending depth, lifting and sending speed and so on, can be accomplished by program control, thus the artificial error is reduced.
对不同焊接热输入下的6063铝合金焊接接头进行人工时效，分析其硬度分布和强度的变化。
Effects of artificial ageing on the hardness distributions and strength were analyzed for 6063 aluminum alloy joints welded by varying heat inputs.
重点讨论了计算机在焊接过程控制、焊接结构设计、数值计算和人工智能中的应用。
It 's applications on welding process control, welding structure design, numerical calculation and artificial intelligence are emphasized.
对焊接接头进行人工时效后，不同热输入条件下得到的焊接接头的强度和延伸率都有明显提高。
After aging treatment, the strength and elongation of welded joints under different parameters increased and their mechanical properties were similar.
人工神经网络模型(ANN)被用于预测焊接质量。
Artificial neural network (ANN) model is used for weld quality prediction.
将人工神经网络技术(ANN)引入点焊领域，建立了点焊工艺参数选择ann系统和点焊接头质量预测ann系统。
This paper proposes a procedure for artificial neural network (ANN) in spot welding, and establishes spot welding parameter selecting ANN systems and spot welding joint quality predicting ANN systems.
利用R BF人工神经网络及SVM模型建立电弧声信号与焊接状态的映射模型，从而实现焊接过程状态的模式识别。
RBF Network and SVM model are used to set up the image model of arc sound signal and welding state in order to realize the pattern recognition on-line of the welding conditions.
国外由于人工成本较高加上太阳能技术发达一般采用自动焊接。
At present most of module manufactures in our country use the method of manual welding.
然后使用线性方法对摄像机坐标系和焊接机器人工作坐标系之间的关系进行在线标定。
Then the relationship between the camera coordinate system and the robot coordinate system was calibrated on line using a linear method.
该方法通过人工神经网络对采样的焊接热功输入进行处理，从而判断焊接过程是否漏焊。
The method preprocesses power input of manual weld through rough neural networks, and judges lack of weld in a welding process. The system′s hardware is simple, cost is low and judgement is accurate.
将人工神经网络技术引入焊接专家系统，建立了多种焊接规范参数设计网络模型。
The artificial neural network was introduced into welding expert system and a series of neural network models were set up by the authors for the design of welding parameters.
主要介绍了点焊机器人工作站的工作原理、系统组成及焊接应用，阐述了点焊机器人工作站在焊接应用方面的优越性。
It introduces the work principle, systems composing and welding application of spot welding robot workstation, illuminates the advantage of spot welding robot on the welding application.
以实际生产使用的一套工作站为例，着重介绍了柔性点焊机器人工作站的组成、控制方式以及在生产焊接中的应用。
This paper introduce the structure and control method of a flexible robot welding workstation which based on a real machine.
以实际生产使用的一套工作站为例，着重介绍了柔性点焊机器人工作站的组成、控制方式以及在生产焊接中的应用。
This paper introduce the structure and control method of a flexible robot welding workstation which based on a real machine.
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