A Bayesian Approach for Degradation Analysis with Individual Differences. - Junyu Guo 001; Hualin Zheng; Binglin Li; Guo-Zhong Fu (IEEE Access, 2019)

Bayesian Hierarchical Model-Based Information Fusion for Degradation Analysis Considering Non-Competing Relationship. - Junyu Guo 001; Hualin Zheng; Binglin Li; Guo-Zhong Fu (IEEE Access, 2019)

Supportive emergency decision-making model towards sustainable development with fuzzy expert system. - He Li; Jun-Yu Guo 001; Mohammad Yazdi; Arman Nedjati; Kehinde Adewale Adesina (Neural Comput. Appl., 2021)

A reliability evaluation model of rolling bearings based on WKN-BiGRU and Wiener process. - Le Dai; Junyu Guo 001; Jia-Lun Wan; Jiang Wang; Xueping Zan (Reliab. Eng. Syst. Saf., 2022)

A hybrid prognostic framework for rolling bearings based on health indicator construction and the Wiener process model. - Zhiyuan Wang 005; Junyu Guo 001; Yulai Yang (ISSSR, 2023)

A CNN-BiLSTM-Bootstrap integrated method for remaining useful life prediction of rolling bearings. - Junyu Guo 001; Jiang Wang; Zhiyuan Wang 005; Yu Gong; Jinglang Qi; Guoyang Wang; Changping Tang (Qual. Reliab. Eng. Int., 2023)

A parallel deep neural network for intelligent fault diagnosis of drilling pumps. - Junyu Guo 001; Yulai Yang; He Li; Le Dai; Bangkui Huang (Eng. Appl. Artif. Intell., 2024)

A hybrid prognosis scheme for rolling bearings based on a novel health indicator and nonlinear Wiener process. - Junyu Guo 001; Zhiyuan Wang 005; He Li; Yulai Yang; Cheng-Geng Huang; Mohammad Yazdi; Hooi Siang Kang (Reliab. Eng. Syst. Saf., 2024)

A dual-channel transferable RUL prediction method integrated with Bayesian deep learning and domain adaptation for rolling bearings. - Junyu Guo 001; Zhiyuan Wang 005; Yulai Yang; Yuhang Song; Jia-Lun Wan; Cheng-Geng Huang (Qual. Reliab. Eng. Int., 2024)

A hybrid reliability assessment method based on health index construction and reliability modeling for rolling bearing. - Yuan-Jian Yang; Chengyuan Ma; Gui-hua Liu; Hao Lu; Le Dai; Jia-Lun Wan; Junyu Guo 001 (Qual. Reliab. Eng. Int., 2024)

An integrated deep learning model for intelligent recognition of long-distance natural gas pipeline features. - Lin Wang; Wannian Guo; Junyu Guo 001; Shaocong Zheng; Zhiyuan Wang 005; Hooi Siang Kang; He Li (Reliab. Eng. Syst. Saf., 2025)