A Comparative Study of Rule-Based and Data-Driven Approaches in Industrial Monitoring 事件

A Comparative Study of Rule-Based and Data-Driven Approaches in Industrial Monitoring arXiv:2509.15848v2 Announce Type: replace Abstract: Industrial monitoring systems, especially when deployed in Industry 4.0 environments, are experiencing a shift in paradigm from traditional rule-based architectures to data-driven approaches leveraging machine learning and artificial intelligence. This study presents a comparison between these two methodologies, analyzing their respective strengths, limitatio