JMSANet: A lightweight network for industrial robot multi-joint anomaly detection
Structural Health Monitoring: An International Journal
Published online on July 15, 2026
Abstract
Structural Health Monitoring, Ahead of Print.
Joint anomaly detection from multi-joint signals is a key component in maintaining motion-control quality in industrial robots. In practical applications, this task requires models that achieve strong detection performance while remaining lightweight. ...
Joint anomaly detection from multi-joint signals is a key component in maintaining motion-control quality in industrial robots. In practical applications, this task requires models that achieve strong detection performance while remaining lightweight. ...