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Engineering Blog for High Performance Insights


ML-based Condition Monitoring at the OT Edge
AI TECHNICAL BRIEF: We explore the realities of deploying ML at the OT Edge Condition monitoring of rotating machinery has become the flagship use case for machine learning at the OT edge, and for a structural reason: sound and vibration are dense signals. A single sensor emits hundreds of kilobytes per second, and no plant can round-trip that volume to a cloud and expect real-time answers. Interpretation has to happen where the data is born. Add the environments that defi
Scott Ludwick
Jul 207 min read
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