06/03/2026
🔧 New Blog Post
A Machine Learning Approach to Predictive Maintenance
At Lockwood’s Electric Motor Service, we’re always following how industrial maintenance is evolving—from hands-on field repair work to data-driven monitoring systems that aim to predict failures before they happen.
One of the most talked-about advancements in recent years is predictive maintenance powered by machine learning. These systems analyze vibration data, current signatures, temperature trends, and other sensor inputs to estimate when equipment may fail and when service might be needed.
While this technology continues to improve, it also raises an important point for real-world operations: even the most advanced monitoring systems still rely on skilled repair, rebuilding, and field service when issues are detected.
Understanding how these technologies work—and where they fall short—is critical for anyone responsible for keeping industrial motors and equipment running reliably.
To explore this topic in more detail, we’ve shared a new article that breaks down the concept and its practical applications:
👉 Read the full article here:
https://lockwoodselectricmotor.com/blog/
