predictive maintenance

Predictive maintenance needs lots of data to be effective. 

What type of data? Whatever data you can collect using sensors placed across the machinery at your company. These sensors can monitor a range of parameters, including:

• Temperature: monitoring both device temperatures as well as the ambient air temperature
• Humidity: checking the function of heating, air vents, and air-conditioning systems, as well as monitoring conditions in hospitals, even meteorological stations
• Pressure: tracking parameters like water pressure in water systems in case of unexpected fluctuations or sudden drops
• Vibration: vibration is often the first indication of a fault, so sensors can alert production staff to an impending breakdown
  
  
  
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