Jingyue Pang

Prognostics for state of health estimation of lithium-ion batteries based on combination Gaussian process functional regression

Yu Peng, Datong Liu, Jingyue Pang, 2013, Microelectron. Reliab..

Anomaly detection based on data stream monitoring and prediction with improved Gaussian process regression algorithm

Yu Peng, Datong Liu, Jingyue Pang, 2014, 2014 International Conference on Prognostics and Health Management.

Lithium-Ion Battery Prognostics with Hybrid Gaussian Process Function Regression

Yandong Hou, Yu Peng, Datong Liu, 2018, Energies.

Fragment Anomaly Detection With Prediction and Statistical Analysis for Satellite Telemetry

Wei Xie, Yu Peng, Datong Liu, 2017, IEEE Access.

Detecting continual anomalies in monitoring data stream based on sampling GPR algorithm

Yu Peng, Datong Liu, Jingyue Pang, 2015, 2015 IEEE Conference on Prognostics and Health Management (PHM).

Optimize the Coverage Probability of Prediction Interval for Anomaly Detection of Sensor-Based Monitoring Series

Yu Peng, Datong Liu, Jingyue Pang, 2018, Sensors.

Remaining Useful Life Prognostics for Lithium-ion Battery Based on Gaussian Processing Regression Combined with the Empirical Model

Yu Peng, S. Yin, Datong Liu, 2013 .

Anomaly detection based on uncertainty fusion for univariate monitoring series

Yu Peng, Datong Liu, Xiyuan Peng, 2017 .

Weighted bagging gaussion process regression to predict remaining useful life of electro-mechanical actuator

Yu Peng, Datong Liu, Jingyue Pang, 2016, 2016 Prognostics and System Health Management Conference (PHM-Chengdu).

Collective Anomalies Detection for Sensing Series of Spacecraft Telemetry with the Fusion of Probability Prediction and Markov Chain Model

Yu Peng, Datong Liu, Jingyue Pang, 2019, Sensors.