Yuqing Zhou

发表

Nonlinear dynamic analysis of a cycloidal ball planetary transmission considering tooth undercutting

R. Yang, J. Xiang, Fengping Li, 2020 .

Development of entropy measure for selecting highly sensitive WPT band to identify defective components of an axial piston pump

Adarsh Kumar, He-sheng Tang, C. Parkash, 2023, Applied Acoustics.

Latest developments in gear defect diagnosis and prognosis: A review

Jiawei Xiang, Rajesh Kumar, Yuqing Zhou, 2020 .

Variational mode decomposition based symmetric single valued neutrosophic cross entropy measure for the identification of bearing defects in a centrifugal pump

Jiawei Xiang, Rajesh Kumar, Yuqing Zhou, 2020 .

Improved deep convolution neural network (CNN) for the identification of defects in the centrifugal pump using acoustic images

Jiawei Xiang, Rajesh Kumar, Anil Kumar, 2020 .

A Multisensor Fusion Method for Tool Condition Monitoring in Milling

Wei Xue, Yuqing Zhou, Wei Xue, 2018, Sensors.

Review of tool condition monitoring methods in milling processes

Wei Xue, Yuqing Zhou, Yuqing Zhou, 2018 .

Optimization of VMD using kernel-based mutual information for the extraction of weak features to detect bearing defects

Jiawei Xiang, Anil Kumar, Yuqing Zhou, 2021 .

Tool wear condition monitoring based on a two-layer angle kernel extreme learning machine using sound sensor for milling process

Bintao Sun, Yuqing Zhou, Weifang Sun, 2020, Journal of Intelligent Manufacturing.

Tool wear condition monitoring in milling process based on data fusion enhanced long short-term memory network under different cutting conditions

Yuqing Zhou, Hao Zhang, Weifang Sun, 2021, Eksploatacja i Niezawodnosc - Maintenance and Reliability.

A tool condition monitoring method based on two-layer angle kernel extreme learning machine and binary differential evolution for milling

Bintao Sun, Yuqing Zhou, Weifang Sun, 2020 .

An edge-labeling graph neural network method for tool wear condition monitoring using wear image with small samples

Yuqing Zhou, Gaofeng Zhi, Dedao He, 2021, Measurement Science and Technology.

Adaptive sensitive frequency band selection for VMD to identify defective components of an axial piston pump

C. P. Gandhi, He-sheng Tang, Anil Kumar, 2021 .

Markov Transition Field Enhanced Deep Domain Adaptation Network for Milling Tool Condition Monitoring

Jie Zhou, Yongying Jiang, Yuqing Zhou, 2022, Micromachines.

Impact energy level assessment of composite structures using MUSIC‐ANN approach

Jiawei Xiang, Yongteng Zhong, Yuqing Zhou, 2016 .

Convolutional neural network-based hidden Markov models for rolling element bearing fault identification

Shuhui Wang, Jiawei Xiang, Yongteng Zhong, 2017, Knowl. Based Syst..

A New Tool Wear Condition Monitoring Method Based on Deep Learning under Small Samples

Wei Chen, Yuqing Zhou, Weifang Sun, 2021, Measurement.

An intrinsic timescale decomposition-based kernel extreme learning machine method to detect tool wear conditions in the milling process

Yuqing Zhou, Weifang Sun, Bintao Sun, 2019, The International Journal of Advanced Manufacturing Technology.

A two-stage method for bearing fault detection using graph similarity evaluation

Binqiang Chen, Wei Feng, Yuqing Zhou, 2020 .

Discrete entropy-based health indicator and LSTM for the forecasting of bearing health

C. P. Gandhi, Manpreet Singh, Pradeep Kundu, 2023, Journal of the Brazilian Society of Mechanical Sciences and Engineering.

Bearing defect size assessment using wavelet transform based Deep Convolutional Neural Network (DCNN)

Jiawei Xiang, Rajesh Kumar, Yuqing Zhou, 2020 .

An intrinsic timescale decomposition-based kernel extreme learning machine method to detect tool wear conditions in the milling process

Bintao Sun, Yuqing Zhou, Weifang Sun, 2020 .

Sample Augmentation for Intelligent Milling Tool Wear Condition Monitoring Using Numerical Simulation and Generative Adversarial Network

Bintao Sun, Jiawei Xiang, Yuqing Zhou, 2021, IEEE Transactions on Instrumentation and Measurement.

Novel Convolutional Neural Network (NCNN) for the Diagnosis of Bearing Defects in Rotary Machinery

Adam Glowacz, Jiawei Xiang, Yuqing Zhou, 2021, IEEE Transactions on Instrumentation and Measurement.

Tool Wear Condition Monitoring in Milling Process Based on Current Sensors

Weifang Sun, Yuqing Zhou, Yuqing Zhou, 2020, IEEE Access.

Improved CNN for the diagnosis of engine defects of 2-wheeler vehicle using wavelet synchro-squeezed transform (WSST)

Jiawei Xiang, Yuqing Zhou, Anil Kumar, 2020, Knowl. Based Syst..

A novel health indicator developed using filter-based feature selection algorithm for the identification of rotor defects

Yi Liu, Xiaoyang Liu, Jiawei Xiang, 2020, Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability.

WPD-Enhanced Deep Graph Contrastive Learning Data Fusion for Fault Diagnosis of Rolling Bearing

Xingbing Wang, Adarsh Kumar, Yuqing Zhou, 2023, Micromachines.

A novel tool condition monitoring based on Gramian angular field and comparative learning

Adarsh Kumar, Yuqing Zhou, Weifang Sun, 2022, International Journal of Hydromechatronics.

Synthetic Minority Oversampling Enhanced FEM for Tool Wear Condition Monitoring

Huan Zhang, Yuqing Zhou, Bintao Sun, 2023, Processes.

Semi-Supervised Multiscale Permutation Entropy-Enhanced Contrastive Learning for Fault Diagnosis of Rotating Machinery

Yuqing Zhou, Weifang Sun, Jiawei Xiang, 2023, IEEE Transactions on Instrumentation and Measurement.

A GAPSO-Enhanced Extreme Learning Machine Method for Tool Wear Estimation in Milling Processes Based on Vibration Signals

Bintao Sun, Yuqing Zhou, Weifang Sun, 2021, International Journal of Precision Engineering and Manufacturing-Green Technology.

Fault diagnosis of rolling element bearing based on symmetric cross entropy of neutrosophic sets

Jiawei Xiang, Yuqing Zhou, Hesheng Tang, 2020 .

Hankel Matrix-Based Condition Monitoring of Rolling Element Bearings: An Enhanced Framework for Time-Series Analysis

Binqiang Chen, Jiawei Xiang, Yuqing Zhou, 2021, IEEE Transactions on Instrumentation and Measurement.

A Classification of Milling TCM Based on Bandpass Filter and Kernel Extreme Learning Machine

Yuqing Zhou, Zhi Lei, Xianglei Zhang, 2018, 2018 Prognostics and System Health Management Conference (PHM-Chongqing).