Digital Twin for PHM

Aims & Scope

As an enabling technology for smart maintenance and lifecycle management, digital twins are transforming the field of Prognostics and Health Management (PHM) by integrating physical assets with their virtual counterparts. This session aims to reveal recent advances in digital twin-enabled PHM methodologies and their applications across complex engineered systems. Topics of interest include health monitoring, fault diagnosis, remaining useful life prediction, degradation modeling, uncertainty quantification, and decision support. The objective of this session is to reflect how digital twins enhance system reliability, availability, and safety by enabling predictive insights and intelligent asset management throughout the full lifecycle.

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Your valuable insights are welcome! 

We cordially invite interested researchers to contact us for details and presentation applications at: secretariat@idea-global.net