Optimal RUL Estimation: A State-of-Art Digital Twin Application

Research article (2020 Annual Reliability and Maintainability Symposium (RAMS), 2020) · cited 12× · AI/ML

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Optimal RUL Estimation: A State-of-Art Digital Twin Application

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Optimal RUL Estimation: A State-of-Art Digital Twin Application is a scholarly article^[1].

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Authored by 3

Chi-Guhn Lee, Mohamad Danish Anis, Sharareh Taghipour

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Chi-Guhn Lee, Mohamad Danish Anis, Sharareh Taghipour

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[2] ↑ Optimal RUL Estimation: A State-of-Art Digital Twin Application — instance of (P31): scholarly article. wikidata.org.

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[1] ↑ Optimal RUL Estimation: A State-of-Art Digital Twin Application is an instance of scholarly article (scholarly article) [P31, primary]. Wikidata. wikidata.org.

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4ort.xyz Knowledge Graph. (2026). Optimal RUL Estimation: A State-of-Art Digital Twin Application. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimal-rul-estimation-a-state-of-art-digital-twin-application

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“Optimal RUL Estimation: A State-of-Art Digital Twin Application.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimal-rul-estimation-a-state-of-art-digital-twin-application.

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@misc{4ortxyz_optimal-rul-estimation-a-state-of-art-digital-twin-application_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimal RUL Estimation: A State-of-Art Digital Twin Application}}, year = {2026}, url = {https://4ort.xyz/entity/optimal-rul-estimation-a-state-of-art-digital-twin-application}, note = {Accessed: 2026-05-24}}

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