Predictive Maintenance Requires Accurate Data


Although the machine learning and artificial intelligence (AI) solutions that enable predictive maintenance are helpful, they’re only as helpful as they’re trained to be.


LLumin's Insight

Predictive maintenance of equipment based on artificial intelligence models holds great promise. An asset management system could alert a plant or facilities manager that a piece of equipment is about to fail. However, predictions are only as good as the data they are based on. A false alarm triggered by a lack of data or inaccurate data can lead to incorrect actions and additional costs. Bottom line: predictive maintenance will only be able to predict those problems for which it already has accurate data.

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