Laifa Tao

According to our database, Laifa Tao authored at least 15 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Open-Set Fault Recognition and Inference for Rolling Bearing Based on Open Fault Semantic Subspace.

Yu Chen, Laifa Tao, Xue Liu, Jian Ma, Chen Lu, Hongmei Liu

IEEE Trans. Instrum. Meas., 2024

2023

An adaptive fault diagnosis framework under class-imbalanced conditions based on contrastive augmented deep reinforcement learning.

Qin Zhao, Yu Ding, Chen Lu, Chao Wang, Liang Ma, Laifa Tao, Jian Ma

Expert Syst. Appl., December, 2023

A case-learning-based paradigm for quantitative recommendation of fault diagnosis algorithms: A case study of gearbox.

XinYu Zou, Laifa Tao, Lulu Sun, Chao Wang, Jian Ma, Chen Lu

Reliab. Eng. Syst. Saf., September, 2023

Fault Diagnosis based on Behavior and State-Awareness Digital Twin of Key Equipment in Power Supply System.

Haifei Liu, Qin Zhao, Jie Hao, Laifa Tao, Chen Lu

Proceedings of the CAA Symposium on Fault Detection, 2023

2022

An adversarial model for electromechanical actuator fault diagnosis under nonideal data conditions.

Chao Wang, Laifa Tao, Yu Ding, Chen Lu, Jian Ma

Neural Comput. Appl., 2022

Hierarchical cognize framework for the multi-fault diagnosis of the interconnected system based on domain knowledge and data fusion.

Tong Zhang, Laifa Tao, Xiaoding Wang, Cong Zhang, Shangyu Li, Jie Hao, Chen Lu, Mingliang Suo

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.

Xuanyuan Su, Hongmei Liu, Laifa Tao, Chen Lu, Mingliang Suo

Comput. Ind. Eng., 2021

Real-time hierarchical risk assessment for UAVs based on recurrent fusion autoencoder and dynamic FCE: A hybrid framework.

Xuanyuan Su, Laifa Tao, Hongmei Liu, Lizhi Wang, Mingliang Suo

Appl. Soft Comput., 2021

State-of-Health Assessment for Aero-Engine Based on Density-Distance Clustering and Fuzzy Bayesian Risk.

Ning Ma, Fan Yang, Laifa Tao, Mingliang Suo

IEEE Access, 2021

2020

Extension of labeled multiple attribute decision making based on fuzzy neighborhood three-way decision.

Mingliang Suo, Yujie Cheng, Chunqing Zhuang, Yu Ding, Chen Lu, Laifa Tao

Neural Comput. Appl., 2020

Single-parameter decision-theoretic rough set.

Mingliang Suo, Laifa Tao, Baolong Zhu, Xuewen Miao, Zhichao Liang, Yu Ding, Xingliu Zhang, Tong Zhang

Inf. Sci., 2020

Degradation Dynamics Cognition and Prediction of Li-Ion Battery: An Integrated Methodology for Alleviating Range Anxiety.

Laifa Tao, Tong Zhang, Jie Hao, Xiaolin Wang, Chen Lu, Mingliang Suo, Yu Ding

IEEE Access, 2020

2019

Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach.

Yu Ding, Liang Ma, Jian Ma, Mingliang Suo, Laifa Tao, Yujie Cheng, Chen Lu

Adv. Eng. Informatics, 2019

2017

Lithium-Ion Battery Capacity Estimation: A Method Based on Visual Cognition.

Yujie Cheng, Laifa Tao, Chao Yang

Complex., 2017

2009

Fault Reconstruction Based on Sliding Mode Observers.

Jiahui Luan, Laifa Tao, Chen Lu

Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009