Three-way fusion of CNN + VAE + rule engine, multi-channel power/amplitude/frequency acquisition, instant defect interception and full weld traceability — protecting every weld on your battery line.
Tab and cover welding are critical steps in EV battery safety — weld quality directly affects cell performance and safety. Traditional manual sampling cannot cover every weld and often misses hidden defects.
TSingley’s ultrasonic welding online quality monitoring system samples power, amplitude and frequency signature signals at high frequency through multiple channels, then applies a CNN convolutional neural network + VAE anomaly detection + rule engine three-way fusion model to judge quality in the instant of the weld: good welds pass, suspicious ones are intercepted on the spot, and defective welds trigger alarms with locked data — delivering zero-defect-escape, full-coverage online inspection.
EV battery tab welding · cover welding · busbar welding · module interconnect welding, plus precision manufacturing scenarios built around ultrasonic welding. The solution integrates with MES-LINE Production Line Control MES and the ONLINE Data Management & Analytics Platform to flow weld-quality data across the plant.