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An optimized Relevance Vector Machine with incremental learning strategy for lithium-ion battery remaining useful life estimation., , , and . I2MTC, page 561-565. IEEE, (2013)A multiscale data-driven framework for lithium-ion battery on-line state estimation., , and . I2MTC, page 1-6. IEEE, (2018)Data-Driven Remaining Useful Life Prediction Considering Sensor Anomaly Detection and Data Recovery., , , and . IEEE Access, (2019)Anomaly detection for satellite power subsystem with associated rules based on Kernel Principal Component Analysis., , , and . Microelectron. Reliab., 55 (9-10): 2082-2086 (2015)An Electro-Mechanical Actuator Motor Voltage Estimation Method with a Feature-Aided Kalman Filter., , , and . Sensors, 18 (12): 4190 (2018)SDR: Sensor data recovery for system condition monitoring., , , , and . I2MTC, page 1-6. IEEE, (2018)A Subdivision Method of Flight Phases Based on Divide-and-Conquer Gaussian Mixture Model., , and . IEEE Trans. Instrum. Meas., (2023)An Embedded Instrument for Online Condition Monitoring of Unmanned and Autonomous Systems., , , and . IEEE Instrum. Meas. Mag., 25 (5): 23-29 (2022)UAV Sensor Fault Detection Using a Classifier without Negative Samples: A Local Density Regulated Optimization Algorithm., , , , and . Sensors, 19 (4): 771 (2019)Unsupervised Flight Phase Recognition with Flight Data Clustering based on GMM., , , and . I2MTC, page 1-6. IEEE, (2020)