Challenges
The customer wanted to use AI to predict the operating condition of bearings in industrial fans
HBLAB's Solutions
- Analyze and process data from bearing sensors (~ 300 sensor from 64 fans) such as temperature, vibration, amount of lubricant used…
- Train an AI (time series) model to understand historical data and predict the future performance of bearings (temperature and vibration)
Project details
- Used Technologies 2 AI Engineer + 0.5 AI PM
- Development Team 2 AI Engineer + 0.5 AI PM
- Duration 3 months
Results
- For temperature (range value 20 -> 60 Celsius): MSE ~ 2
- For vibration (range value ~0.7 -> ~1.2 mm/s): MSE ~ 0.05
*MSE: Mean squared error
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