Relationship between digital twin degradation state and sustainability-relevant monitoring objectives
| Digital twin aspect | Sustainability interpretation | Relevant sustainability context |
|---|---|---|
| Monotonic degradation state τ(t) | Enables consistent tracking of irreversible degradation and lifecycle progression | Supports reliability-oriented asset management and infrastructure monitoring |
| Data-efficient physics-informed formulation | Reduces dependence on extensive experimental data and large-scale simulations | Supports efficient model deployment in data-limited environments |
| Physically consistent state evolution | Ensures interpretable and stable degradation tracking over long operational periods | Supports reliable lifecycle assessment and maintenance planning |
| Digital twin aspect | Sustainability interpretation | Relevant sustainability context |
|---|---|---|
| Monotonic degradation state τ(t) | Enables consistent tracking of irreversible degradation and lifecycle progression | Supports reliability-oriented asset management and infrastructure monitoring |
| Data-efficient physics-informed formulation | Reduces dependence on extensive experimental data and large-scale simulations | Supports efficient model deployment in data-limited environments |
| Physically consistent state evolution | Ensures interpretable and stable degradation tracking over long operational periods | Supports reliable lifecycle assessment and maintenance planning |
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