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Health status assessment and remaining useful life prediction of aero-engine based on BiGRU and MMoE.

, , , , and . Reliab. Eng. Syst. Saf., (2022)

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Artificial Intelligent Diagnosis and Monitoring in Manufacturing., , , , , , and . CoRR, (2019)An overview of data-driven battery health estimation technology for battery management system., , , , and . Neurocomputing, (May 2023)Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data., , , , and . Neurocomputing, (2020)Health status assessment and remaining useful life prediction of aero-engine based on BiGRU and MMoE., , , , and . Reliab. Eng. Syst. Saf., (2022)State of health estimation for lithium-ion batteries with dynamic time warping and deep kernel learning model., , , , , and . ECC, page 602-607. IEEE, (2020)Online Bearing Remaining Useful Life Prediction Based on a Novel Degradation Indicator and Convolutional Neural Networks., , , , , , and . CoRR, (2018)Estimating the State of Health for Lithium-ion Batteries: A Particle Swarm Optimization-Assisted Deep Domain Adaptation Approach., , , , , , and . IEEE CAA J. Autom. Sinica, 10 (7): 1530-1543 (2023)Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis., , , , and . CoRR, (2019)A Novel GAN-based Fault Diagnosis Approach for Imbalanced Industrial Time Series., , , , and . CoRR, (2019)Remaining useful life prediction of lithium-ion batteries with adaptive unscented kalman filter and optimized support vector regression., , , and . Neurocomputing, (2020)