Life prediction of CNC linear rolling guide based on DFNN performance degradation model. - Baiquan Huang; Hongli Gao; Mingheng Xu; Xixi Wu; Min Zhao; Liang Guo 001 (FSKD, 2010)

A recurrent neural network based health indicator for remaining useful life prediction of bearings. - Liang Guo 001; Naipeng Li; Feng Jia; Yaguo Lei; Jing Lin 001 (Neurocomputing, 2017)

Remaining Useful Life Prediction Based on a General Expression of Stochastic Process Models. - Naipeng Li; Yaguo Lei; Liang Guo 001; Tao Yan 004; Jing Lin 001 (IEEE Trans. Ind. Electron., 2017)

Machinery health indicator construction based on convolutional neural networks considering trend burr. - Liang Guo 001; Yaguo Lei; Naipeng Li; Tao Yan 004; Ningbo Li (Neurocomputing, 2018)

A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines. - Feng Jia; Yaguo Lei; Liang Guo 001; Jing Lin 001; Saibo Xing (Neurocomputing, 2018)

Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data. - Liang Guo 001; Yaguo Lei; Saibo Xing; Tao Yan 004; Naipeng Li (IEEE Trans. Ind. Electron., 2019)

Deep Cost Adaptive Convolutional Network: A Classification Method for Imbalanced Mechanical Data. - Xun Dong; Hongli Gao; Liang Guo 001; Kesi Li; Andongzhe Duan (IEEE Access, 2020)

Recurrent convolutional neural network: A new framework for remaining useful life prediction of machinery. - Biao Wang 004; Yaguo Lei; Tao Yan 004; Naipeng Li; Liang Guo 001 (Neurocomputing, 2020)

Deep Focus Parallel Convolutional Neural Network for Imbalanced Classification of Machinery Fault Diagnostics. - Andongzhe Duan; Liang Guo 001; Hongli Gao; Xiangdong Wu; Xun Dong (IEEE Trans. Instrum. Meas., 2020)

A Data-Flow Oriented Deep Ensemble Learning Method for Real-Time Surface Defect Inspection. - Yuekai Liu; Hongli Gao; Liang Guo 001; Aoping Qin; Canyu Cai; Zhichao You (IEEE Trans. Instrum. Meas., 2020)

A Transfer Learning Based Method for Incipient Fault Detection. - Changgen Li; Liang Guo 001; Hongli Gao; Junhao Yang; Xun Dong; Zhichao You (ICPS, 2021)

Optimal Motion Planning for Differential Drive Mobile Robots based on Multiple-Interval Chebyshev Pseudospectral Methods. - Run Mao; Hongli Gao; Liang Guo 001 (Robotica, 2021)

Similarity-Measured Isolation Forest: Anomaly Detection Method for Machine Monitoring Data. - Changgen Li; Liang Guo 001; Hongli Gao; Yi Li (IEEE Trans. Instrum. Meas., 2021)

Deep Coupled Joint Distribution Adaptation Network: A Method for Intelligent Fault Diagnosis Between Artificial and Real Damages. - Yongwen Tan; Liang Guo 001; Hongli Gao; Li Zhang 120 (IEEE Trans. Instrum. Meas., 2021)

Adversarial domain adaptation network with pseudo-siamese feature extractors for cross-bearing fault transfer diagnosis. - Qunwang Yao; Quan Qian; Yi Qin 004; Liang Guo 001; Fei Wu (Eng. Appl. Artif. Intell., 2022)

YOLO-SLAM: A semantic SLAM system towards dynamic environment with geometric constraint. - Wenxin Wu; Liang Guo 001; Hongli Gao; Zhichao You; Yuekai Liu; Zhiqiang Chen (Neural Comput. Appl., 2022)

Automatically Designing Network-Based Deep Transfer Learning Architectures Based on Genetic Algorithm for In-Situ Tool Condition Monitoring. - Yuekai Liu; Yaoxiang Yu; Liang Guo 001; Hongli Gao; Yongwen Tan (IEEE Trans. Ind. Electron., 2022)

Multiple Activation Functions and Data Augmentation-Based Lightweight Network for In Situ Tool Condition Monitoring. - Zhichao You; Hongli Gao; Shichao Li; Liang Guo 001; Yuekai Liu; Jingbo Li (IEEE Trans. Ind. Electron., 2022)

Multisource Partial Transfer Network for Machinery Fault Diagnostics. - Yaoxiang Yu; Liang Guo 001; Yongwen Tan; Hongli Gao; Jiangquan Zhang (IEEE Trans. Ind. Electron., 2022)

Online Remaining Useful Life Prediction of Milling Cutters Based on Multisource Data and Feature Learning. - Liang Guo 001; Yaoxiang Yu; Hongli Gao; Tingting Feng; Yuekai Liu (IEEE Trans. Ind. Informatics, 2022)

Pareto-Optimal Adaptive Loss Residual Shrinkage Network for Imbalanced Fault Diagnostics of Machines. - Yaoxiang Yu; Liang Guo 001; Hongli Gao; Yuekai Liu; Tingting Feng (IEEE Trans. Ind. Informatics, 2022)

Reconstruction Domain Adaptation Transfer Network for Partial Transfer Learning of Machinery Fault Diagnostics. - Liang Guo 001; Yaoxiang Yu; Yuekai Liu; Hongli Gao; Tao Chen 024 (IEEE Trans. Instrum. Meas., 2022)

PCWGAN-GP: A New Method for Imbalanced Fault Diagnosis of Machines. - Yaoxiang Yu; Liang Guo 001; Hongli Gao; Yuekai Liu (IEEE Trans. Instrum. Meas., 2022)

A new bearing health indicator for quantitative estimation of fault degree. - Weipeng Ma; Liang Guo 001; Yaoxiang Yu; Kexin Hou; Hong Zeng; Hongli Gao (SAFEPROCESS, 2023)

A degradation-shock dependent competing failure processes based method for remaining useful life prediction of drill bit considering time-shifting sudden failure threshold. - Tingting Feng; Shichao Li; Liang Guo 001; Hongli Gao; Tao Chen 024; Yaoxiang Yu (Reliab. Eng. Syst. Saf., 2023)

A New Method for Rolling Bearing Condition Evaluation Method Under Varying Speeds. - Xi Gu; Yaoxiang Yu; Kexin Hou; Liang Guo 001; Hongli Gao (IEEE Trans. Instrum. Meas., 2023)

Vision-Based Defect Measurement of Drilled CFRP Composites Using Double-Light Imaging. - Changgen Li; Yuncong Lei; Zhichao You; Liang Guo 001; Enrico Zio; Hongli Gao (IEEE Trans. Instrum. Meas., 2023)

A Novel Evaluation Metric Based on Dispersion of Wear Distance for In Situ Tool Condition Monitoring. - Zhichao You; Shichao Li; Changgen Li; Hongli Gao; Liang Guo 001; Yuekai Liu (IEEE Trans. Instrum. Meas., 2023)

A new nonlinear ensemble framework based on dynamic-matched weights for tool remaining useful life prediction. - Tingting Feng; Liang Guo 001; Tao Chen 024; Hongli Gao (Eng. Appl. Artif. Intell., 2024)

An Analysis Method for Interpretability of Convolutional Neural Network in Bearing Fault Diagnosis. - Liang Guo 001; Xi Gu; Yaoxiang Yu; Andongzhe Duan; Hongli Gao (IEEE Trans. Instrum. Meas., 2024)

GMM-BinSeg: A Data Segmentation Method for CFRP/Aluminum Stacks Drilling- Countersinking Monitoring Signal. - Changgen Li; Yuncong Lei; Liang Guo 001; Enrico Zio; Hongli Gao; Baocheng Yang (IEEE Trans. Instrum. Meas., 2024)

FedCAE: A New Federated Learning Framework for Edge-Cloud Collaboration Based Machine Fault Diagnosis. - Yaoxiang Yu; Liang Guo 001; Hongli Gao; Yichen He; Zhichao You; Andongzhe Duan (IEEE Trans. Ind. Electron., 2024)

Slice-Oriented Signal Probability Distribution Measure for Wind Turbine Generator Bearing Condition Monitoring Under Variable Speed Conditions. - Guangyao Zhang; Yi Wang 043; Liang Guo 001; Yi Qin 004; Baoping Tang; Haidong Shao (IEEE Trans. Ind. Informatics, 2024)

Clustering Weighted Envelope Spectrum for Rolling Bearing Fault Diagnosis. - Tao Chen 024; Liang Guo 001; Hongli Gao; Tingting Feng; Yaoxiang Yu (IEEE Trans Autom. Sci. Eng., 2025)

Brownian Distance Covariance-Based Few-Shot Learning Framework Considering Noisy Labels for Fault Diagnosis of Train Transmission Systems. - Ao Ding; Yong Qin 002; Biao Wang 004; Han Liu; Dawei Chen; Lin Tao; Liang Guo 001 (IEEE Trans. Ind. Informatics, 2025)