An infrared visual sensing detection approach for swing arc narrow gap weld deviation

Volume: 243, Pages: 258 - 268
Published: May 1, 2017
Abstract
The present work develops a weld deviation detection system based on infrared visual sensing for swing arc narrow gap weld tracking, proposes a local pattern recognition (LPR) algorithm to detect groove edge position, and experimentally investigates their adaptabilities. This approach captures welding image synchronously with the base current period of pulsed arc as the arc swings to stay at groove sidewall, and extracts weld deviation feature...
Paper Details
Title
An infrared visual sensing detection approach for swing arc narrow gap weld deviation
Published Date
May 1, 2017
Volume
243
Pages
258 - 268
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