Many times, changes in operating parameters are not too significant to be picked by a DCS. It is also challenging to manually determine the correlations between many process parameters. In this case, after a scheduled maintenance activity, the bearing temperature in the FD Fan was gradually increasing from 40°C to 51°C without any change in the operating conditions.
Learn how AI Expert’s early detection and diagnosis of high bearing temperature saved an enterprise $120,000 in repair costs, lost production, and associated expenses.
Download the case study to know how AI-powered predictive analytics can do wonders for your asset performance & predictive maintenance strategy.
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