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Laifa Tao
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2020 – today
- 2024
- [j14]Yu Ding, Qin Zhao, Tianhao Li, Chen Lu, Laifa Tao, Jian Ma:
A rail defect detection framework under class-imbalanced conditions based on improved you only look once network. Eng. Appl. Artif. Intell. 138: 109351 (2024) - [j13]Yu Chen, Laifa Tao, Xue Liu, Jian Ma, Chen Lu, Hongmei Liu:
Open-Set Fault Recognition and Inference for Rolling Bearing Based on Open Fault Semantic Subspace. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [i2]Laifa Tao, Shangyu Li, Haifei Liu, Qixuan Huang, Liang Ma, Guoao Ning, Yiling Chen, Yunlong Wu, Bin Li, Weiwei Zhang, Zhengduo Zhao, Wenchao Zhan, Wenyan Cao, Chao Wang, Hongmei Liu, Jian Ma, Mingliang Suo, Yujie Cheng, Yu Ding, Dengwei Song, Chen Lu:
An Outline of Prognostics and Health Management Large Model: Concepts, Paradigms, and Challenges. CoRR abs/2407.03374 (2024) - [i1]Laifa Tao, Qixuan Huang, Xianjun Wu, Weiwei Zhang, Yunlong Wu, Bin Li, Chen Lu, Xingshuo Hai:
LLM-R: A Framework for Domain-Adaptive Maintenance Scheme Generation Combining Hierarchical Agents and RAG. CoRR abs/2411.04476 (2024) - 2023
- [j12]Qin Zhao, Yu Ding, Chen Lu, Chao Wang, Liang Ma, Laifa Tao, Jian Ma:
An adaptive fault diagnosis framework under class-imbalanced conditions based on contrastive augmented deep reinforcement learning. Expert Syst. Appl. 234: 121001 (2023) - [j11]XinYu Zou, Laifa Tao, Lulu Sun, Chao Wang, Jian Ma, Chen Lu:
A case-learning-based paradigm for quantitative recommendation of fault diagnosis algorithms: A case study of gearbox. Reliab. Eng. Syst. Saf. 237: 109372 (2023) - [c2]Haifei Liu, Qin Zhao, Jie Hao, Laifa Tao, Chen Lu:
Fault Diagnosis based on Behavior and State-Awareness Digital Twin of Key Equipment in Power Supply System. SAFEPROCESS 2023: 1-6 - 2022
- [j10]Tong Zhang, Laifa Tao, Xiaoding Wang, Cong Zhang, Shangyu Li, Jie Hao, Chen Lu, Mingliang Suo:
Hierarchical cognize framework for the multi-fault diagnosis of the interconnected system based on domain knowledge and data fusion. Expert Syst. Appl. 193: 116503 (2022) - [j9]Chao Wang, Laifa Tao, Yu Ding, Chen Lu, Jian Ma:
An adversarial model for electromechanical actuator fault diagnosis under nonideal data conditions. Neural Comput. Appl. 34(8): 5883-5904 (2022) - 2021
- [j8]Ning Ma, Fan Yang, Laifa Tao, Mingliang Suo:
State-of-Health Assessment for Aero-Engine Based on Density-Distance Clustering and Fuzzy Bayesian Risk. IEEE Access 9: 9996-10011 (2021) - [j7]Xuanyuan Su, Laifa Tao, Hongmei Liu, Lizhi Wang, Mingliang Suo:
Real-time hierarchical risk assessment for UAVs based on recurrent fusion autoencoder and dynamic FCE: A hybrid framework. Appl. Soft Comput. 106: 107286 (2021) - [j6]Xuanyuan Su, Hongmei Liu, Laifa Tao, Chen Lu, Mingliang Suo:
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. 161: 107531 (2021) - 2020
- [j5]Laifa Tao, Tong Zhang, Jie Hao, Xiaolin Wang, Chen Lu, Mingliang Suo, Yu Ding:
Degradation Dynamics Cognition and Prediction of Li-Ion Battery: An Integrated Methodology for Alleviating Range Anxiety. IEEE Access 8: 183927-183938 (2020) - [j4]Mingliang Suo, Laifa Tao, Baolong Zhu, Xuewen Miao, Zhichao Liang, Yu Ding, Xingliu Zhang, Tong Zhang:
Single-parameter decision-theoretic rough set. Inf. Sci. 539: 49-80 (2020) - [j3]Mingliang Suo, Yujie Cheng, Chunqing Zhuang, Yu Ding, Chen Lu, Laifa Tao:
Extension of labeled multiple attribute decision making based on fuzzy neighborhood three-way decision. Neural Comput. Appl. 32(23): 17731-17758 (2020)
2010 – 2019
- 2019
- [j2]Yu Ding, Liang Ma, Jian Ma, Mingliang Suo, Laifa Tao, Yujie Cheng, Chen Lu:
Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach. Adv. Eng. Informatics 42 (2019) - 2017
- [j1]Yujie Cheng, Laifa Tao, Chao Yang:
Lithium-Ion Battery Capacity Estimation: A Method Based on Visual Cognition. Complex. 2017: 6342170:1-6342170:13 (2017)
2000 – 2009
- 2009
- [c1]Jiahui Luan, Laifa Tao, Chen Lu:
Fault Reconstruction Based on Sliding Mode Observers. CSIE (6) 2009: 479-484
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