Laifa Tao
Orcid: 0000-0002-9232-7216
According to our database1,
Laifa Tao
authored at least 18 papers
between 2009 and 2024.
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Bibliography
2024
Open-Set Fault Recognition and Inference for Rolling Bearing Based on Open Fault Semantic Subspace.
IEEE Trans. Instrum. Meas., 2024
A rail defect detection framework under class-imbalanced conditions based on improved you only look once network.
Eng. Appl. Artif. Intell., 2024
LLM-R: A Framework for Domain-Adaptive Maintenance Scheme Generation Combining Hierarchical Agents and RAG.
CoRR, 2024
An Outline of Prognostics and Health Management Large Model: Concepts, Paradigms, and Challenges.
CoRR, 2024
2023
An adaptive fault diagnosis framework under class-imbalanced conditions based on contrastive augmented deep reinforcement learning.
Expert Syst. Appl., December, 2023
A case-learning-based paradigm for quantitative recommendation of fault diagnosis algorithms: A case study of gearbox.
Reliab. Eng. Syst. Saf., September, 2023
Fault Diagnosis based on Behavior and State-Awareness Digital Twin of Key Equipment in Power Supply System.
Proceedings of the CAA Symposium on Fault Detection, 2023
2022
An adversarial model for electromechanical actuator fault diagnosis under nonideal data conditions.
Neural Comput. Appl., 2022
Hierarchical cognize framework for the multi-fault diagnosis of the interconnected system based on domain knowledge and data fusion.
Expert Syst. Appl., 2022
2021
An end-to-end framework for remaining useful life prediction of rolling bearing based on feature pre-extraction mechanism and deep adaptive transformer model.
Comput. Ind. Eng., 2021
Real-time hierarchical risk assessment for UAVs based on recurrent fusion autoencoder and dynamic FCE: A hybrid framework.
Appl. Soft Comput., 2021
State-of-Health Assessment for Aero-Engine Based on Density-Distance Clustering and Fuzzy Bayesian Risk.
IEEE Access, 2021
2020
Extension of labeled multiple attribute decision making based on fuzzy neighborhood three-way decision.
Neural Comput. Appl., 2020
Degradation Dynamics Cognition and Prediction of Li-Ion Battery: An Integrated Methodology for Alleviating Range Anxiety.
IEEE Access, 2020
2019
Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach.
Adv. Eng. Informatics, 2019
2017
Complex., 2017
2009
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009