Motor Vibration Analysis: Predictive Maintenance with AI
Learn how vibration analysis with IoT sensors and Artificial Intelligence allows you to predict industrial motor failures weeks before they happen.
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The high cost of burnt-out motors #
In the metalworking, mining, or food industry, motors and centrifugal pumps are the heart of production. When a critical three-phase motor burns out due to a worn bearing or imbalance, the cost isn't just the spare part; it's the hours of downtime for the entire plant.
Motor vibration analysis used to be a manual task. An engineer would walk the plant once a month with an expensive probe to take spot measurements. Today, that strategy is like going to the doctor only when you're already having a heart attack.
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Predictive Maintenance with IoT Sensors #
The revolution in [Predictive Maintenance](/glosario#cmms) is based on the installation of IoT vibration and acoustic sensors fixed magnetically or structurally to the motor casing.
These sensors send data continuously via wireless (LoRaWAN / Wi-Fi) or wired networks to a local server. But having millions of vibration data points in an Excel spreadsheet is useless without intelligence to interpret them. The AI detects the anomaly weeks before the physical break and generates an automatic work order in iGromi CMMS.
