In this episode, we explore how machine learning paired with current transformer (CT) technology is changing the way plants monitor and maintain equipment. Instead of wiring up flow switches, pressure sensors, or vibration probes, a simple clamp-on CT can learn the signatures of motors, pumps, and heaters—detecting start-ups, runtime, and even early signs of failure.

We’ll walk through how easy these systems are to install, how the algorithms recognize operational patterns, and why one sensor can often replace a whole bank of instrumentation. You’ll also hear about the latest offerings from suppliers like ABB, Siemens, and Fluke, along with the pros and cons of each approach.

For plant managers and engineers, this episode highlights how a focused subset of AI delivers practical results—cutting costs, simplifying maintenance, and giving better visibility into equipment health.