Abstract: A cost-sensitive statistical fault detection method based on correlation analysis is proposed for the detection of industrial robot joint metal powder faults in the case of small samples.
Abstract: Traditional process monitoring methods often rely on data with uniform sampling rates, which may lead to the loss of valuable information across both time and space dimensions. Moreover, ...
Background: Musculoskeletal disorders (MSDs) are a leading cause of disability among industrial workers worldwide, often resulting from excessive physical and mental workload. This study aimed to ...