Weaving-Based Welding State Detection Without Threshold Retuning
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Solution Overview
Problem
Existing methods for determining the welding state in arc welding require changing threshold values and detection value ranges when welding conditions change, such as the object being welded, gas, or set current, which is inefficient and inaccurate.
Innovation Solution
A welding state determination system that uses a weaving operation to cyclically oscillate a welding torch, acquiring characteristic amounts related to physical quantities that change with the weaving cycle, calculating a degree of abnormality based on these values and their past averages and standard deviations, and determining the welding state accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If threshold values and detection value ranges are changed according to welding conditions, then welding state determination accuracy is improved, but system complexity and operation difficulty increase
Solution Approach 1:
The system automatically adapts to different welding conditions by using the weaving operation characteristics themselves to generate determination criteria, eliminating the need for manual threshold adjustments. The system serves itself by deriving its own parameters from the process being monitored.
Solution Approach 2:
The invention changes the approach from adjusting fixed threshold parameters to using dynamic parameters derived from the weaving operation. By monitoring how physical quantities change during the oscillation cycle and comparing them to historical data, the system adapts to different welding conditions without requiring manual parameter changes.
2Measurement precision
If threshold values and detection value ranges are changed according to welding conditions, then welding state determination accuracy is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically adapts to different welding conditions by using the weaving operation characteristics themselves to generate determination criteria, eliminating the need for manual threshold adjustments. The system serves itself by deriving its own parameters from the process being monitored.
3Adaptability or versatility
If setting values are changed when welding conditions change, then adaptation to different conditions is improved, but loss of time for adjustment increases
Solution Approach 1:
The system automatically adapts to different welding conditions by using the weaving operation characteristics themselves to generate determination criteria, eliminating the need for manual threshold adjustments. The system serves itself by deriving its own parameters from the process being monitored.
Solution Approach 2:
The system performs preliminary analysis of the weaving operation characteristics to establish determination criteria before actual welding state evaluation begins. By pre-processing the oscillation data and historical values, the system is ready to immediately assess welding states without adjustment delays.
4Ease of operation
If fixed threshold values are used, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The invention changes the approach from adjusting fixed threshold parameters to using dynamic parameters derived from the weaving operation. By monitoring how physical quantities change during the oscillation cycle and comparing them to historical data, the system adapts to different welding conditions without requiring manual parameter changes.
Data Source
AI summary
This welding state determination system acquires, for each weaving cycle, a characteristic amount that pertains to a physical quantity that changes according to the cycle of a weaving operation. A degree of abnormality is calculated based on an observation value that is the characteristic amount acquired in one cycle, and the average and standard deviation of a plurality of past values that are the characteristic amounts acquired prior to the one cycle. A welding state is determined based on the calculated degree of abnormality.


