Automatic Generation of Selective Disassembly Sequences for Augmented Reality-Guided Maintenance

Equipment maintenance is essential for ensuring the longevity and optimal performance throughout the product lifecycle. The augmented reality technology is used to replace traditional paper manuals for maintenance, leading to enhanced efficiency and accuracy. However, the current development of augmented reality maintenance procedures primarily depends on the product's process manual. This approach only reduces the user's operation time, but still requires developers to invest significant time and effort. In this article, we propose automating the planning of product disassembly sequences based on the product's CAD model in order to improve the automation process of augmented reality maintenance applications. We propose a novel selective disassembly sequences method for maintaining faulty components based on product and disassembly levels. We utilize this method as the input for our developed Guided Information Generation System (GIGS). We conduct a rapid maintenance process for experimental equipment to validate the feasibility and potential practical application of our method.