周正｜北京工业大学｜学者主页

2026

A condition-supervised contrastive autoencoder with dynamic temperature scaling for anomaly detection under multi-condition imbalanced data

Hong Xu, Chenye Hu, Yasong Li, Zheng Zhou, Qi-Xiang Zhu, Chuang Sun, Ruqiang Yan

Expert systems with applications

DOI

2026

Rule guided transformers for dynamic knowledge adaptation in rotating machinery fault diagnosis

E. Hogea, D. Onchis, Ruqiang Yan, Zheng Zhou

Advanced Engineering Informatics

DOI

2026

Spectral Feature Analysis and Wear Fault Characterization of Pressure Pulsation in Axial Piston Pumps

Zhi-Ying Wang, Wen-Gang Xu, Zheng Zhou, Chuang Sun, Ru-Qiang Yan

IEEE Transactions on Instrumentation and Measurement

DOI

2026

Surrogate Model-Driven Deep Reinforcement Learning for Sensor Placement Optimization in Guided Wave Damage Localization

Zheng Zhou, Lu-Yang Zhao, Xin Zhou, Dan-Dan Zhao, Ru-Qiang Yan, Min Xia

IEEE Transactions on Instrumentation and Measurement

DOI

2026

Minimax designs for misspecified linear models with L∞-norm bounded departures

Shaohua Xu, YongDao ZHOU, Zheng Zhou

Journal of Complexity

DOI

2025

Spectral Domain Dynamic Pressure Model and Wear Simulation of Axial Piston Pumps

Zhi-Ying Wang, Wen-Gang Xu, Zheng Zhou, Chuang Sun, Ru-Qiang Yan

2025 International Conference on Equipment Intelligent Operation and Maintenance (ICEIOM)

DOI

2025

Gearbox fault diagnosis based on temporal shrinkage interpretable deep reinforcement learning under strong noise

Ze-Qi Wei, Hui Wang, Zhi-Bin Zhao, Zheng Zhou, Ruqiang Yan

Engineering applications of artificial intelligence

DOI

2025

Learning globally ordered and locally consistent degradation representations for remaining useful life prediction

Yasong Li, Chenye Hu, Zheng Zhou, Chuang Sun, Jun Peng, Ruqiang Yan

Advanced Engineering Informatics

DOI

2024

Multiscale Deep Attention Q Network: A New Deep Reinforcement Learning Method for Imbalanced Fault Diagnosis in Gearboxes

Hui Wang, Zheng Zhou, Liu-Yang Zhang, Ru-Qiang Yan

IEEE Transactions on Instrumentation and Measurement

DOI

2024

A Remaining Useful Life Prediction Method of Rolling Bearings Based on Deep Reinforcement Learning

Guoshun Zheng, Yasong Li, Zheng Zhou, Ru-Qiang Yan

IEEE Internet of Things Journal

DOI

2024

Transfer Learning for Prognostics and Health Management: Advances, Challenges, and Opportunities

Ruqiang Yan, Wei-Hua Li, Si-Liang Lu, Min Xia, Zhu-Yun Chen, Zheng Zhou, Yasong Li, Jing-Feng Lu

Journal of Dynamics Monitoring and Diagnostics

DOI

2024

Domain Invariant and Consistent Ordinal Representation Learning for Remaining Useful Life Prediction of Bearings

Yasong Li, Zheng Zhou, Chuang Sun, Jun Peng, Xiaochuan Liu, Ruqiang Yan

IEEE Transactions on Industrial Informatics

DOI

2024

Wear state assessment of external gear pump based on system-level hybrid digital twin

Wen-Gang Xu, Zhi-Ying Wang, Zheng Zhou, Chuang Sun, Ruqiang Yan, Xue-Feng Chen

Mechanical systems and signal processing

DOI

2023

基于深度强化学习的机械装备剩余使用寿命预测方法

Gu Zheng, Zheng Zhou, Ru-Qiang Yan

Scientia Sinica Technologica

DOI

2023

Multiscale Deep Attention Reinforcement Learning for Imbalanced Fault Diagnosis of Gearbox Under Multi-Working Conditions

Haibo Wang, Zheng Zhou, Ru-Qiang Yan, Liu-Yang Zhang

International Instrumentation and Measurement Technology Conference

DOI

2023

Modeling and Analysis of External Gear Pump Broken Tooth Failure Mechanism

Wen-Gang Xu, Zhi-Ying Wang, Zheng Zhou, Chuang Sun, Xue-Feng Chen, Ruqiang Yan

2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

DOI

2023

An advanced pressure pulsation model for external gear pump

Wen-Gang Xu, Zhi-Ying Wang, Zheng Zhou, Chuang Sun, Jun-Hui Zhang, Ru-Qiang Yan, Xue-Feng Chen

Mechanical systems and signal processing

DOI

2022

The emerging graph neural networks for intelligent fault diagnostics and prognostics: A guideline and a benchmark study

Tianfu Li, Zheng Zhou, Si-Nan Li, Chuang Sun, Ru-Qiang Yan, Xue-Feng Chen

Mechanical systems and signal processing

DOI

2022

Variational Attention-Based Interpretable Transformer Network for Rotary Machine Fault Diagnosis

Yasong Li, Zheng Zhou, Chuang Sun, Xue-Feng Chen, Ru-Qiang Yan

IEEE Transactions on Neural Networks and Learning Systems

DOI

2022

Physics-Constraint Variational Neural Network for Wear State Assessment of External Gear Pump

Wen-Gang Xu, Zheng Zhou, Tianfu Li, Chuang Sun, Xue-Feng Chen, Ru-Qiang Yan

IEEE Transactions on Neural Networks and Learning Systems

DOI

2021

Denoising Fused Wavelets Net for Aeroengine Bevel Gear Fault Diagnosis

Zuogang Shang, Zhi-Bin Zhao, Zheng Zhou, Chuang Sun, Yu Sun, Ru-Qiang Yan

2021 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

DOI

2021

Random-forest based adjusting method for wind forecast of WRF model

Anxi Wang, Libing Xu, Yi Li, Jian-Yong Xing, Xing-Rong Chen, Kewei Liu, Yishuang Liang, Zheng Zhou

Computational Geosciences

DOI

2021

A neural architecture search method based on gradient descent for remaining useful life estimation

Jia-Kun Zhao, Ruifeng Zhang, Zheng Zhou, Si Chen, Ju Jin, Qing-Fang Liu

Neurocomputing

DOI

2021

Domain Adaptive Sparse Transformer for Aeroengine Bevel Gear Fault Diagnosis

Yasong Li, Zheng Zhou, Chuang Sun, Ru-Qiang Yan, Xue-Feng Chen

2021 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

DOI

2021

Dynamic Model-based Digital Twin for Crack Detection of Aeroengine Disk

Yuan-Gui Yang, Meng Ma, Zheng Zhou, Chuang Sun, Ru-Qiang Yan

2021 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

DOI

2021

Bayesian Differentiable Architecture Search for Efficient Domain Matching Fault Diagnosis

Zheng Zhou, Tianfu Li, Zilong Zhang, Zhi-Bin Zhao, Chuang Sun, Ru-Qiang Yan, Xue-Feng Chen

IEEE Transactions on Instrumentation and Measurement

DOI

2020

Differentiable Architecture Search for Aeroengine Bevel Gear Fault Diagnosis

Zheng Zhou, Tianfu Li, Zhi-Bin Zhao, Chuang Sun, Ru-Qiang Yan, Xue-Feng Chen

2020 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

DOI

Time-varying trajectory modeling via dynamic governing network for remaining useful life prediction

Zheng Zhou, Tianfu Li, Zhi-Bin Zhao, Chuang Sun, Xue-Feng Chen, Ru-Qiang Yan, Ji-De Jia

Mechanical systems and signal processing

DOI

周正

精选作品

期刊论文

A condition-supervised contrastive autoencoder with dynamic temperature scaling for anomaly detection under multi-condition imbalanced data

Rule guided transformers for dynamic knowledge adaptation in rotating machinery fault diagnosis

Spectral Feature Analysis and Wear Fault Characterization of Pressure Pulsation in Axial Piston Pumps

Surrogate Model-Driven Deep Reinforcement Learning for Sensor Placement Optimization in Guided Wave Damage Localization

Minimax designs for misspecified linear models with L∞-norm bounded departures

Spectral Domain Dynamic Pressure Model and Wear Simulation of Axial Piston Pumps

Gearbox fault diagnosis based on temporal shrinkage interpretable deep reinforcement learning under strong noise

Learning globally ordered and locally consistent degradation representations for remaining useful life prediction

Multiscale Deep Attention Q Network: A New Deep Reinforcement Learning Method for Imbalanced Fault Diagnosis in Gearboxes

A Remaining Useful Life Prediction Method of Rolling Bearings Based on Deep Reinforcement Learning

Transfer Learning for Prognostics and Health Management: Advances, Challenges, and Opportunities

Domain Invariant and Consistent Ordinal Representation Learning for Remaining Useful Life Prediction of Bearings

Wear state assessment of external gear pump based on system-level hybrid digital twin

基于深度强化学习的机械装备剩余使用寿命预测方法

Multiscale Deep Attention Reinforcement Learning for Imbalanced Fault Diagnosis of Gearbox Under Multi-Working Conditions

Modeling and Analysis of External Gear Pump Broken Tooth Failure Mechanism

An advanced pressure pulsation model for external gear pump

The emerging graph neural networks for intelligent fault diagnostics and prognostics: A guideline and a benchmark study

Variational Attention-Based Interpretable Transformer Network for Rotary Machine Fault Diagnosis

Physics-Constraint Variational Neural Network for Wear State Assessment of External Gear Pump

Denoising Fused Wavelets Net for Aeroengine Bevel Gear Fault Diagnosis

Random-forest based adjusting method for wind forecast of WRF model

A neural architecture search method based on gradient descent for remaining useful life estimation

Domain Adaptive Sparse Transformer for Aeroengine Bevel Gear Fault Diagnosis

Dynamic Model-based Digital Twin for Crack Detection of Aeroengine Disk

Bayesian Differentiable Architecture Search for Efficient Domain Matching Fault Diagnosis

Differentiable Architecture Search for Aeroengine Bevel Gear Fault Diagnosis

Time-varying trajectory modeling via dynamic governing network for remaining useful life prediction

预印本

Local-Global Feature Fusion for Subject-Independent EEG Emotion Recognition

EEG4Students: An Experimental Design for EEG Data Collection and Machine Learning Analysis

BrainActivity1: A Framework of EEG Data Collection and Machine Learning Analysis for College Students

Time Majority Voting, a PC-based EEG Classifier for Non-expert Users

Model-free Subsampling Method Based on Uniform Designs

研究方向