A Novel Scheme for Remaining Useful Life Prediction and Safety Assessment Based on Hybrid Method. - Ruihua Jiao; Kaixiang Peng; Kai Zhang 015; Liang Ma; Yanting Pi (CAA SAFEPROCESS, 2019)

A deep belief network based health indicator construction and remaining useful life prediction using improved particle filter. - Kaixiang Peng; Ruihua Jiao; Jie Dong 004; Yanting Pi (Neurocomputing, 2019)

Fault monitoring and remaining useful life prediction framework for multiple fault modes in prognostics. - Ruihua Jiao; Kaixiang Peng; Jie Dong 004; Chuanfang Zhang 001 (Reliab. Eng. Syst. Saf., 2020)

Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Conditional Variational Autoencoders-Particle Filter. - Ruihua Jiao; Kaixiang Peng; Jie Dong 004 (IEEE Trans. Instrum. Meas., 2020)

Remaining Useful Life Prediction for a Roller in a Hot Strip Mill Based on Deep Recurrent Neural Networks. - Ruihua Jiao; Kaixiang Peng; Jie Dong 004 (IEEE CAA J. Autom. Sinica, 2021)

A process monitoring and fault isolation framework based on variational autoencoders and branch and bound method. - Peng Tang; Kaixiang Peng; Ruihua Jiao (J. Frankl. Inst., 2022)

Degradation modeling and remaining life prediction for a multi-component system under triple uncertainties. - Xuerui Cao; Kaixiang Peng; Ruihua Jiao (Comput. Ind. Eng., 2024)

Multi-Phase Degradation Modeling Based on Uncertain Random Process for Remaining Useful Life Prediction Under Triple Uncertainties. - Xuerui Cao; Kaixiang Peng; Ruihua Jiao (IEEE CAA J. Autom. Sinica, 2025)