Publication | Open Access
Controlled physics-informed data generation for deep learning-based remaining useful life prediction under unseen operation conditions
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Citations
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References
2023
Year
Data GenerationArtificial IntelligenceEngineeringMachine LearningData ScienceLife PredictionPhysic Aware Machine LearningPredictive AnalyticsPredictive MaintenanceUseful Life PredictionSystems EngineeringUnseen Operation ConditionsDeep LearningPhysics-informed Machine LearningService Life PredictionPhysics-informed Data Generation
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2008 | 35.7K | |
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations Maziar Raissi, Paris Perdikaris, George Em Karniadakis Journal of Computational Physics EngineeringPde-constrained OptimizationDeep Learning FrameworkAi FoundationInverse Problems | 2018 | 14.4K |
2017 | 2.3K | |
2019 | 1.1K | |
2020 | 1.1K | |
2021 | 1K | |
2017 | 765 | |
2018 | 665 | |
2021 | 594 | |
2019 | 553 |
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