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The Adoption of Digital Twins in Integrated Vehicle Health Management

By Paul Anthony Phillips, EngD

is its ability to enable predictive maintenance. By analyzing real-time data and historical patterns, the system can predict the remaining useful life of components or systems and recommend maintenance actions before failures occur by using advanced analytics, including machine learning (ML) and artificial intelligence (AI).”

—From the Report

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