Field notes from the factory floor
Dispatches on predictive maintenance, machine vision, and fire detection, written from real industrial deployments rather than the whiteboard.
Physics Informed Machine Learning / Featured article
Physics Informed Machine Learning and its horizon in industrial applications
The significance of physics-informed machine learning has been widely recognized in the field of industrial applications, specially in scenarios where data is limited or expensive to obtain.
Aug 28, 2026 / 8 min
OEE: Past, present and future
This article traces the evolution of Overall Equipment Effectiveness from its manual TPM origins through SCADA/MES and IIoT integration to today's AI-driven predictive systems. It outlines the tools, benefits, and limitations of each era, concluding with practical recommendations for implementing AI-enhanced OEE.
Sep 21, 2026 / 7 minPhysics Informed Machine Learning and its horizon in industrial applications
The significance of physics-informed machine learning has been widely recognized in the field of industrial applications, specially in scenarios where data is limited or expensive to obtain.
Aug 21, 2026 / 5 minPhysics Informed Machine Learning and its horizon in industrial applications
The significance of physics-informed machine learning has been widely recognized in the field of industrial applications, specially in scenarios where data is limited or expensive to obtain.
Aug 21, 2026 / 5 min