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Support Vector Prognostics Analysis of Electronic Products and Systems., and . AAAI Fall Symposium: Artificial Intelligence for Prognostics, volume FS-07-02 of AAAI Technical Report, page 121-128. AAAI Press, (2007)A Hybrid Feature Selection Scheme for Reducing Diagnostic Performance Deterioration Caused by Outliers in Data-Driven Diagnostics., , , , and . IEEE Trans. Ind. Electron., 63 (5): 3299-3310 (2016)Health monitoring of electronic products based on Mahalanobis distance and Weibull decision metrics., , , and . Microelectron. Reliab., 51 (2): 279-284 (2011)Predicting Damage and Life Expectancy of Subsea Power Cables in Offshore Renewable Energy Applications., , , , , , and . IEEE Access, (2019)Lithium-Ion Battery Health Prognosis Based on a Real Battery Management System Used in Electric Vehicles., , , , , and . IEEE Trans. Veh. Technol., 68 (5): 4110-4121 (2019)Degradation Monitoring of Insulation Systems Used in Low-Voltage Electromagnetic Coils under Thermal Loading Conditions from a Creep Point of View., , , and . Sensors, 20 (13): 3696 (2020)Multi-Objective Optimization Design of a Notch Filter Based on Improved NSGA-II for Conducted Emissions., , , , , and . IEEE Access, (2020)Challenges and Research Issues of Data Management in IoT for Large-Scale Petrochemical Plants., , , , and . IEEE Syst. J., 12 (3): 2509-2523 (2018)Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries, , , and . IEEE Transactions on Vehicular Technology, 67 (7): 5695-5705 (July 2018)Prognostics of lithium-ion batteries using a deterministic Bayesian approach., , , , and . ICPHM, page 1-4. IEEE, (2015)