Predictive Maintenance of networks and plants

Reports of losses by third parties. This is the problem that many companies in the Utility branch can find on their energy distribution networks. However, a system for detecting and forecasting final losses is not enough. Data management in this field can make the difference.

 

Hera InRete

Target

  1. Minimize the risk of reporting of energy losses in networks by third parties
  2. Schedule maintenance in a timely manner, anticipating necessary interventions

 

Approach

We developed a prediction algorithm that is able to: analyze the actual status of plants and networks, identify the probability of failure, plan specific maintenance interventions and indicate intervention priorities based on a risk index.

 

Results

Increases predictive accuracy of energy losses in distribution networks by 20% compared to the system normally used. Third party reporting risks are minimized and extraordinary maintenance interventions reduced.