Laifa Tao

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 et al. · Advanced Engineering Informatics · 2019 · 156 citations

Artificial Intelligence, Fault Diagnosis, Intelligent Fault Diagnosis +11

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 et al. · Computers & Industrial Engineering · 2021 · 102 citations

Condition Monitoring, Engineering, Feature Pre-extraction Mechanism +8

Li-ion battery capacity estimation: A geometrical approach

Chen Lü, Laifa Tao, Huanzhen Fan · Journal of Power Sources · 2014 · 91 citations

Electric Battery, Electrical Engineering, Engineering +6

A hybrid transfer learning scheme for remaining useful life prediction and cycle life test optimization of different formulation Li-ion power batteries

Jian Ma, Pengchao Shang, Xinyu Zou et al. · Applied Energy · 2020 · 85 citations

Electric Battery, Electrical Engineering, Engineering +10

LLM-based framework for bearing fault diagnosis

Laifa Tao, Haifei Liu, Guoao Ning et al. · Mechanical Systems and Signal Processing · 2024 · 83 citations

Fault Diagnosis, Engineering, Data Mining +3