Table 1.

The differences between PdMDT and traditional predictive maintenance.

	Equipment Simulation	Maintain Data	Maintenance Timing	Data Utilization
Traditional PdM	Static simulation	Insufficient data	Expert experience judgment	Low effective utilization, prediction results are one-sided
PdMDT	Dynamic simulation by digital twin technology, can simulate physical characteristics and evolution mechanism	All factors, multi type data can be collected and use	Real time data analysis and can give maintenance timing by software	Ability to use all data, Efficient depth analysis and mining by artificial intelligence
	Maintenance Efficiency	Fault Data Reserve	Model Fidelity	Fault Prediction Accuracy
Traditional PdM	Vulnerable to equipment changes	Insufficient enterprise fault data	Poor	Poor
PdMDT	Real time changes according to equipment changes	Sharing fault data between enterprises	Reflecting physical characteristics, dynamic interaction and evolution mechanism, multi physical model fusion	High