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Sergio Cofre-Martel

University of Maryland, College Park

9

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28

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Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management

2021 arXiv: Machine Learning
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Remaining Useful Life Estimation through Deep Learning Partial Differential Equation Models: A Framework for Degradation Dynamics Interpretation Using Latent Variables

2021 Shock and Vibration
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Defining Degradation States for Diagnosis Classification Models in Real Systems Based on Monitoring Data

2021
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Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management.

2021 Sensors
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Uncovering the Underlying Physics of Degrading System Behavior Through a Deep Neural Network Framework: The Case of Remaining Useful Life Prognosis

2020 arXiv: Signal Processing
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Neural Network and Particle Filtering: A Hybrid Framework for Crack Propagation Prediction

2020 arXiv: Signal Processing
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Deep Convolutional Neural Network-Based Structural Damage Localization and Quantification Using Transmissibility Data

2019 Shock and Vibration
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Citations (21)