A Bidirectional LSTM Prognostics Method Under Multiple Operational Conditions. - Cheng-Geng Huang; Hong-Zhong Huang; Yan-Feng Li (IEEE Trans. Ind. Electron., 2019)

Fault prognosis using deep convolutional neural network and bootstrap-based method. - Cheng-Geng Huang; Hong-Zhong Huang; Yan-Feng Li; Weiwen Peng (INDIN, 2020)

An Enhanced Deep Learning-Based Fusion Prognostic Method for RUL Prediction. - Cheng-Geng Huang; Xianhui Yin; Hong-Zhong Huang; Yan-Feng Li (IEEE Trans. Reliab., 2020)

A reliable probabilistic risk-based decision-making method: Bayesian Technique for Order of Preference by Similarity to Ideal Solution (B-TOPSIS). - He Li; Mohammad Yazdi; Cheng-Geng Huang; Weiwen Peng (Soft Comput., 2022)

Cross-Domain Open-Set Machinery Fault Diagnosis Based on Adversarial Network With Multiple Auxiliary Classifiers. - Jun Zhu 012; Cheng-Geng Huang; Changqing Shen; Yongjun Shen (IEEE Trans. Ind. Informatics, 2022)

Residual attention temporal recurrent network for fault diagnosis of gearboxes under limited labeled data. - Jichao Zhuang; Jianhai Yan; Cheng-Geng Huang; Minping Jia (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 New Incremental Learning for Bearing Fault Diagnosis Under Noisy Conditions Using Classification and Feature-Level Information. - Jun Zhu 012; Yuanfan Wang; Cheng-Geng Huang; Changqing Shen; Bojian Chen (IEEE Trans. Instrum. Meas., 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)

fault diagnosis event knowledge graph. - ChangHao Men; Cheng-Geng Huang; Yu Han (IEEE DataPort, 2024)

Personalized Federated Transfer Learning for Cycle-Life Prediction of Lithium-Ion Batteries in Heterogeneous Clients With Data Privacy Protection. - Cheng-Geng Huang; He Li; Weiwen Peng; Loon Ching Tang; Zhisheng Ye 001 (IEEE Internet Things J., 2024)

Prediction of Equipment Remaining Useful Life Based on Graph Learning and Spatiotemporal Knowledge Graph. - ChangHao Men; Yu Han; Cheng-Geng Huang (Qual. Reliab. Eng. Int., 2025)

Domain-Specific Dual Network With Unsupervised Domain Adaptation for Transfer Fault Prognosis Across Machines Using Multiple Source Domains. - Smaran Khanal; Hong-Zhong Huang; Cheng-Geng Huang; Amrit Dahal; Tudi Huang; Sajawal Gul Niazi (IEEE Trans. Instrum. Meas., 2025)

The Interpretable Reasoning and Intelligent Decision-Making Based on Event Knowledge Graph With LLMs in Fault Diagnosis Scenarios. - ChangHao Men; Yu Han; Ping Wang 017; JianYuan Tao; Cheng-Geng Huang (IEEE Trans. Instrum. Meas., 2025)