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RELIABILITY AND MAINTAINABILITY SYMPOSIUM
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Journal Papers
7
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Journal Papers
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Physics-based Machine Learning with Filtering for Failure Prognostics Partially Observable Dynamic Systems
2022 68TH ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM (RAMS 2022)
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2022-01-24
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Kohtz, Sara; Wang, Pingfeng
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Early Prediction of Lithium-Ion Battery Cycle Life by Machine Learning Methods
2022 68TH ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM (RAMS 2022)
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2022-01-24
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Mitra, Ankan; Pan, Rong
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A Framework of Big Data Driven Remaining Useful Lifetime Prediction of On-Orbit Satellite
67TH ANNUAL RELIABILITY & MAINTAINABILITY SYMPOSIUM (RAMS 2021)
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2021-05-24
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Huang, Wei; Andrada, Roy; Borja, Dale
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A New Approach for the Assessment of Maintenance Policies on Stochastically Deteriorating Systems
67TH ANNUAL RELIABILITY & MAINTAINABILITY SYMPOSIUM (RAMS 2021)
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2021-05-24
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Liu, Xinyang; Wang, Pingfeng
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Assessing Self-Adapting Routing Algorithm in an Industrial IoT Environment
67TH ANNUAL RELIABILITY & MAINTAINABILITY SYMPOSIUM (RAMS 2021)
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2021-05-24
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Cerotti, Davide; Bobbio, Andrea; Bruneo, Dario; Distefano, Salvatore; Scarpa, Marco; Gribaudo, Marco
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The Evolution of Artificial Intelligence in the Automotive Industry
67TH ANNUAL RELIABILITY & MAINTAINABILITY SYMPOSIUM (RAMS 2021)
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2021-05-24
3
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Gupta, Shuchita; Amaba, Ben; McMahon, Mike; Gupta, Kunal
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Capacity Degradation Modeling for Li-Ion Batteries using a Multiscale Gamma Process Approach
67TH ANNUAL RELIABILITY & MAINTAINABILITY SYMPOSIUM (RAMS 2021)
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2021-05-24
1
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Kohtz, Sara; Wang, Pingfeng
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