Jing Liu

Self-Supervised Deep Domain-Adversarial Regression Adaptation for Online Remaining Useful Life Prediction of Rolling Bearing Under Unknown Working Condition

Wentao Mao, Jiaxian Chen, Jing Liu et al. · IEEE Transactions on Industrial Informatics · 2022 · 91 citations

Artificial Intelligence, Engineering, Machine Learning +20

An Interpretable Deep Transfer Learning-Based Remaining Useful Life Prediction Approach for Bearings With Selective Degradation Knowledge Fusion

Wentao Mao, Jing Liu, Jiaxian Chen et al. · IEEE Transactions on Instrumentation and Measurement · 2022 · 74 citations

A Light-Weight Deep-Learning Model with Multi-Scale Features for Steel Surface Defect Classification

Yang Liu, Yachao Yuan, Cristhian Balta et al. · Materials · 2020 · 56 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +19

An optimization of artificial neural network modeling methodology for the reliability assessment of corroding natural gas pipelines

Kai Wen, Lei He, Jing Liu et al. · Journal of Loss Prevention in the Process Industries · 2019 · 52 citations

Reliability Engineering, Petroleum Engineering, Engineering +13

An improved variational mode decomposition method based on spectrum reconstruction and segmentation and its application in rolling bearing fault diagnosis

Zong Meng, Jing Liu, Jingbo Liu et al. · Digital Signal Processing · 2023 · 35 citations

Modal Analysis, Fault Diagnosis, Condition Monitoring +7