Factors to consider for Data Driven Maintenance

Data Driven Maintenance (DDM) or prescriptive maintenance is the practice of using analytic engines to identify systems and equipment that are not performing as expected but still without a failure and therefore require, or will require, maintenance. It is clear that the usage of data to drive maintenance activities before resorting to visual inspections or reacting to failures offers significant cost savings.

The key considerations for data driven maintenance is to have a combination of Preventive and Condition Based Maintenance Operations with the help of Data, AI and Machine Learning. Key is to have a system to

  • Identify true state of assets
  • Simulate and predict future states based on projected operating condition
  • Identify probable failure points and maintenance requirements in a future time frame at current trend

Failures and Maintenance