Arc Welding Signal Spectral Analysis for Weld Failure Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing arc welding methods face challenges in accurately determining weld failures due to noise susceptibility in time series waveforms of weld voltage and current, leading to inadequate detection of subtle changes and types of weld failures.
Innovation Solution
An arc welding system that performs frequency analysis on time series waveforms of weld voltage and current to generate frequency spectral data, which is then used by a determiner to assess the welding state, including the presence and type of weld failures, through comparison with normal spectral data and machine learning algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frequency analysis is performed on time series waveforms to generate frequency spectral data, then measurement precision of welding state is improved, but device complexity increases due to addition of analyzer and determiner components
Solution Approach 1:
The patent introduces an analyzer as an intermediary component that processes the raw time series waveforms of weld voltage and current through frequency analysis. This intermediary transforms the complex time-domain signals into frequency spectral data, making subtle weld failures detectable without requiring direct complex processing in the main control system.
Solution Approach 2:
The patent replaces traditional statistical analysis methods with frequency analysis methodology. Instead of using conventional time-domain statistical parameters, the system uses frequency-domain spectral analysis to detect weld failures, substituting one analytical approach with another that is more sensitive to subtle changes.
2Device complexity
If statistical analysis of time series waveforms is used to determine weld failures, then device complexity is kept simple, but measurement precision deteriorates due to noise susceptibility
Solution Approach 1:
The patent transitions from analyzing data in the time domain to analyzing data in the frequency domain. By performing frequency analysis on the time series waveforms, the system extracts frequency spectral data that reveals patterns and subtle changes not visible in the original time-domain signals, effectively adding a new dimension to the analysis.
Data Source
AI summary
An arc welding system includes an arc welding portion that executes an arc welding, an arc welding power supply that supplies a weld voltage and a weld current to the arc welding portion, an analyzer including analyzer circuitry that performs a frequency analysis on a time series waveform of at least one of the weld voltage and the weld current and generates frequency spectral data, and a determiner including determiner circuitry that obtains a welding state of a welding work by the arc welding portion based on the frequency spectral data generated by the analyzer.


