Industrial Automation
Industrial automation systems, control architecture and engineering practice.
Time-Series Foundation Models in Manufacturing: Are They Ready for the Plant Floor?
Foundation models for time-series data are an emerging direction for industrial analytics. Their promise is broad generalisation; the engineering challenge is making sure the patterns…
Read →Predictive Maintenance: Why Most AI Projects Start in the Wrong Place
Predictive maintenance is often described as a model problem. In practice, the hardest questions are about failure modes, maintenance history, operating context and what action…
Read →Industrial Anomaly Detection with Machine Learning: Where to Start
Anomaly detection is one of the most practical machine-learning problems in manufacturing, provided the engineering team first defines what “normal” means for the process. The…
Read →AI in Industrial Automation: What Actually Changes for PLC Engineers?
Artificial intelligence is entering factories, but it does not replace the control engineer in the way the headlines suggest. The practical changes are more interesting:…
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