Liang Guo

Orcid: 0000-0001-5338-4958

Affiliations:
  • Southwest Jiaotong University, Chengdu, China


According to our database1, Liang Guo authored at least 32 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Slice-Oriented Signal Probability Distribution Measure for Wind Turbine Generator Bearing Condition Monitoring Under Variable Speed Conditions.
IEEE Trans. Ind. Informatics, April, 2024

FedCAE: A New Federated Learning Framework for Edge-Cloud Collaboration Based Machine Fault Diagnosis.
IEEE Trans. Ind. Electron., April, 2024

GMM-BinSeg: A Data Segmentation Method for CFRP/Aluminum Stacks Drilling- Countersinking Monitoring Signal.
IEEE Trans. Instrum. Meas., 2024

An Analysis Method for Interpretability of Convolutional Neural Network in Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2024

2023
A Novel Evaluation Metric Based on Dispersion of Wear Distance for In Situ Tool Condition Monitoring.
IEEE Trans. Instrum. Meas., 2023

Vision-Based Defect Measurement of Drilled CFRP Composites Using Double-Light Imaging.
IEEE Trans. Instrum. Meas., 2023

A New Method for Rolling Bearing Condition Evaluation Method Under Varying Speeds.
IEEE Trans. Instrum. Meas., 2023

A degradation-shock dependent competing failure processes based method for remaining useful life prediction of drill bit considering time-shifting sudden failure threshold.
Reliab. Eng. Syst. Saf., 2023

A new bearing health indicator for quantitative estimation of fault degree.
Proceedings of the CAA Symposium on Fault Detection, 2023

2022
PCWGAN-GP: A New Method for Imbalanced Fault Diagnosis of Machines.
IEEE Trans. Instrum. Meas., 2022

Reconstruction Domain Adaptation Transfer Network for Partial Transfer Learning of Machinery Fault Diagnostics.
IEEE Trans. Instrum. Meas., 2022

Pareto-Optimal Adaptive Loss Residual Shrinkage Network for Imbalanced Fault Diagnostics of Machines.
IEEE Trans. Ind. Informatics, 2022

Online Remaining Useful Life Prediction of Milling Cutters Based on Multisource Data and Feature Learning.
IEEE Trans. Ind. Informatics, 2022

Multisource Partial Transfer Network for Machinery Fault Diagnostics.
IEEE Trans. Ind. Electron., 2022

Multiple Activation Functions and Data Augmentation-Based Lightweight Network for In Situ Tool Condition Monitoring.
IEEE Trans. Ind. Electron., 2022

Automatically Designing Network-Based Deep Transfer Learning Architectures Based on Genetic Algorithm for In-Situ Tool Condition Monitoring.
IEEE Trans. Ind. Electron., 2022

YOLO-SLAM: A semantic SLAM system towards dynamic environment with geometric constraint.
Neural Comput. Appl., 2022

Adversarial domain adaptation network with pseudo-siamese feature extractors for cross-bearing fault transfer diagnosis.
Eng. Appl. Artif. Intell., 2022

2021
Deep Coupled Joint Distribution Adaptation Network: A Method for Intelligent Fault Diagnosis Between Artificial and Real Damages.
IEEE Trans. Instrum. Meas., 2021

Similarity-Measured Isolation Forest: Anomaly Detection Method for Machine Monitoring Data.
IEEE Trans. Instrum. Meas., 2021

Optimal Motion Planning for Differential Drive Mobile Robots based on Multiple-Interval Chebyshev Pseudospectral Methods.
Robotica, 2021

A Transfer Learning Based Method for Incipient Fault Detection.
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021

2020
A Data-Flow Oriented Deep Ensemble Learning Method for Real-Time Surface Defect Inspection.
IEEE Trans. Instrum. Meas., 2020

Deep Focus Parallel Convolutional Neural Network for Imbalanced Classification of Machinery Fault Diagnostics.
IEEE Trans. Instrum. Meas., 2020

Recurrent convolutional neural network: A new framework for remaining useful life prediction of machinery.
Neurocomputing, 2020

Deep Cost Adaptive Convolutional Network: A Classification Method for Imbalanced Mechanical Data.
IEEE Access, 2020

2019
Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data.
IEEE Trans. Ind. Electron., 2019

2018
A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines.
Neurocomputing, 2018

Machinery health indicator construction based on convolutional neural networks considering trend burr.
Neurocomputing, 2018

2017
Remaining Useful Life Prediction Based on a General Expression of Stochastic Process Models.
IEEE Trans. Ind. Electron., 2017

A recurrent neural network based health indicator for remaining useful life prediction of bearings.
Neurocomputing, 2017

2010
Life prediction of CNC linear rolling guide based on DFNN performance degradation model.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010


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