Consulting

Prognostics

The development of advanced prognostics models is pivotal for planning effective maintenance programs based on:

  • real time identification of the actual damaging stage

  • prediction of the Remaining Useful Life (RUL)

We build prognostic models customized for each specific application. Our algorithms for predictive maintenance are based on different models:

  • Hidden Markov Models
  • Artificial Neural Networks
  • Bayesian Hierarchical Models

We provide software solutions based on the developed models which can be integrated with existing software/PLC.

Advantages.

Fault Prediction.

You exploit diagnostic techniques combined with prognostic models to estimate the Remaining Useful Life (RUL)

Predictive Maintenance.

You can schedule a smarter maintenance program exploiting prognostic models

Artificial Intelligence.

You can choose between data-driven or model-based A.I. algorithms

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