PHM with Digital Twin

PHM with Digital Twin

Challenge on PHM:

• accurate CM ⭢ depend on models: productive algorithm need good model
• in PHM with AI techniques ⭢ depend on data quality produced: as methodologies largely depend on accurate values to produce acceptable results.

With Digital Twin:

• enhance modeling and DAQ fidelity
• increase data generation

Thus, the capability of a DT to generate a virtual copy of the system is invaluable in PHM. (Falekas and Karlis 2021)

Bibliography:
Falekas, Georgios, and Athanasios Karlis. 2021. “Digital Twin in Electrical Machine Control and Predictive Maintenance: State-of-the-Art and Future Prospects.” Energies 14 (18). https://doi.org/10.3390/en14185933.