Chengliang Liu

发表

Optimization and Control of Cable Tensions for Hyper-redundant Snake-arm Robots

Chengjin Qin, Jianfeng Tao, Xiang Gao, 2021, International Journal of Control, Automation and Systems.

An efficient neural network-based method for patient-specific information involved arrhythmia detection

Chengliang Liu, Chengjin Qin, Chengliang Liu, 2022, Knowl. Based Syst..

A novel P-QRS-T wave localization method in ECG signals based on hybrid neural networks

Chengliang Liu, Xiaojun Chen, Chengjin Qin, 2022, Comput. Biol. Medicine.

High-fidelity positioning and tracking of AGVs based on Kalman filter

Liang Gong, Chengliang Liu, Wei Zhang, 2021, 2021 40th Chinese Control Conference (CCC).

Multiple high-regional-incidence cardiac disease diagnosis with deep learning and its potential to elevate cardiologist performance

Chengliang Liu, Chengjin Qin, Chengliang Liu, 2022, iScience.

Multi-class 12-lead ECG automatic diagnosis based on a novel subdomain adaptive deep network

Chengliang Liu, Chengjin Qin, Chengliang Liu, 2022, Science China Technological Sciences.

A review of arrhythmia detection based on electrocardiogram with artificial intelligence

Chengliang Liu, Xiaojun Chen, Chengliang Liu, 2022, Expert review of medical devices.

Weighted Heterogeneous Graph-Based Incremental Automatic Disease Diagnosis Method

Chengliang Liu, Chengliang Liu, Jinlei Liu, 2022, Journal of Shanghai Jiaotong University.

Adaptive decision-level fusion strategy for the fault diagnosis of axial piston pumps using multiple channels of vibration signals

Jianfeng Tao, Qun Chao, Chengliang Liu, 2021, Science China Technological Sciences.

A multi-scale convolutional neural network for bearing compound fault diagnosis under various noise conditions

Chengliang Liu, Chengjin Qin, Jianfeng Tao, 2022, Science China Technological Sciences.

A synchroextracting-based method for early chatter identification of robotic drilling process

Chengliang Liu, Chengjin Qin, Jianfeng Tao, 2018, The International Journal of Advanced Manufacturing Technology.

Unsupervised deep representation learning for motor fault diagnosis by mutual information maximization

Yixiang Huang, Chengliang Liu, Chengjin Qin, 2020, Journal of Intelligent Manufacturing.

An adaptive hierarchical decomposition-based method for multi-step cutterhead torque forecast of shield machine

Chengliang Liu, Zhinan Zhang, Chengjin Qin, 2022, Mechanical Systems and Signal Processing.

Training Feed-forward Neural Networks Using the Gradient Descent Method with the Optimal Stepsize

Liang Gong, Chengliang Liu, Fuqing Yuan, 2012 .

A multi-channel decoupled deep neural network for tunnel boring machine torque and thrust prediction

Chengliang Liu, Chengjin Qin, Jianfeng Tao, 2023, Tunnelling and Underground Space Technology.

A multi-stage data augmentation and AD-ResNet-based method for EPB utilization factor prediction

Chengliang Liu, Chengjin Qin, Jianfeng Tao, 2023, Automation in Construction.

A novel LSTM-autoencoder and enhanced transformer-based detection method for shield machine cutterhead clogging

Chengliang Liu, Chengjin Qin, Jianfeng Tao, 2023, Science China Technological Sciences.

Anti-noise diesel engine misfire diagnosis using a multi-scale CNN-LSTM neural network with denoising module

Haoran Sun, Chengliang Liu, Chengjin Qin, 2023, CAAI Trans. Intell. Technol..

Geological information prediction for shield machine using an enhanced multi-head self-attention convolution neural network with two-stage feature extraction

Chengliang Liu, Chengjin Qin, Jianfeng Tao, 2022, Geoscience Frontiers.

A gene expression programming-based method for real-time wear estimation of disc cutter on TBM cutterhead

Chengjin Qin, Jianfeng Tao, Chengliang Liu, 2022, Neural Computing and Applications.

Concentrated velocity synchronous linear chirplet transform with application to robotic drilling chatter monitoring

Chengliang Liu, Chengjin Qin, Jianfeng Tao, 2022, Measurement.

Fault Knowledge Transfer Assisted Ensemble Method for Remaining Useful Life Prediction

Yixiang Huang, Peng Li, Chengliang Liu, 2021, IEEE Transactions on Industrial Informatics.

A novel constrained dense convolutional autoencoder and DNN-based semi-supervised method for shield machine tunnel geological formation recognition

Chengjin Qin, Dengyu Xiao, Honggan Yu, 2022 .

An accurate and adaptative cutterhead torque prediction method for shield tunneling machines via adaptative residual long-short term memory network

Chengjin Qin, Jianfeng Tao, Chengliang Liu, 2022 .

Rock mass type prediction for tunnel boring machine using a novel semi-supervised method

Chengjin Qin, Dengyu Xiao, Honggan Yu, 2021, Measurement.

Unsupervised machine fault diagnosis for noisy domain adaptation using marginal denoising autoencoder based on acoustic signals

Yixiang Huang, Chengjin Qin, Dengyu Xiao, 2021 .

A field parameters-based method for real-time wear estimation of disc cutter on TBM cutterhead

Chengjin Qin, Jianfeng Tao, Dengyu Xiao, 2021 .

A Novel A-CNN Method for TBM Utilization Factor Estimation

Chengliang Liu, Chengjin Qin, Jianfeng Tao, 2021 .

A novel methodology to explain and evaluate data-driven building energy performance models based on interpretable machine learning

Fu Xiao, Chengliang Liu, Chengchu Yan, 2019, Applied Energy.

Unsupervised deep representation learning for motor fault diagnosis by mutual information maximization

Yixiang Huang, Chengjin Qin, Chengliang Liu, 2020, Journal of Intelligent Manufacturing.