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, ...

Ionut Ilascu is a technology writer with a focus on all things cybersecurity. The topics he writes about include malware, vulnerabilities, exploits and security defenses, as well as research and ...

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 ...