陈闻鹤｜安徽师范大学｜学者主页

2026

State of Charge Estimation of Battery for Electric Vehicle Based on VMD-Basisformer Model

Yiling Gao, Longsheng Cheng, Wenhe Chen, Ting Mao, Pingping Wang, Hanting Zhou, Bihui Li

Quality And Reliability Engineering International

DOI

2026

一种基于成对样本比较的马田系统特征筛选方法

常志朋，陈闻鹤

《统计与决策》，No. 9

下载原文 DOI

2026

融入底线思维的重大疫情防控策略三参照点决策方法

常志朋，陈闻鹤，王翠翠，王方羽

《安徽工业大学学报(自然科学版)》

2026

A Novel Graph Deviant-Associate Discrepancy Attention Network for Condition Monitoring With Wind Turbine Cyber-Physical Systems

Wenhe Chen, Hanting Zhou, Yu-Wang Sun, Zong-Xiang Chen, Z. Chang, Min Xia

IEEE Transactions on Industrial Cyber-Physical Systems

DOI

2026

An attribute-conditioned diffusion generative enhancement method for industrial fault diagnosis under data imbalance

Xinhang Chen, Hanting Zhou, Jing Xu, Long-Sheng Cheng, Wenhe Chen

Computers and Chemical Engineering

DOI

2026

Physics-Informed xLSTM Network for Lithium-ion Batteries State-of-Health Estimation

Yiling Gao, Long-Sheng Cheng, Wenhe Chen, Pingping Wang

Information and Communication Technology Convergence

DOI

2026

Temporal-physics aware dynamic network for remaining useful life prediction of rolling bearings

L. Fu, Ting Mao, Hanting Zhou, Wenhe Chen, Longsheng Cheng

Measurement science and technology

DOI

2026

A two-stage reconstruction-based OSR–ZSD framework for generalized zero-shot fault diagnosis in industrial processes

Xin-Han Chen, Hanting Zhou, Jing Xu, Long-Sheng Cheng, Wenhe Chen

Engineering Research Express

DOI

2026

TDAFDNet: A trustworthy data-augmented network for few shot fault diagnosis and noise interference

Hanting Zhou, Wenhe Chen, Xinggang Luo, Min Xia

Applied Soft Computing

DOI

2026

MAML-CGAN-Based Small-Sample Fault Data Generation for Industrial Processes

Xinhang Chen, Long-Sheng Cheng, Hanting Zhou, Wenhe Chen

Information and Communication Technology Convergence

DOI

2025

Dynamic Identification of Relative Poverty Among Chinese Households Using the Multiway Mahalanobis-Taguchi System: A Sustainable Livelihoods Perspective

Zhipeng Chang, Yuehua Wang, Wenhe Chen

Sustainability，Vol. 17, No. 12

DOI

2025

重大疫情下社区韧性治理能力深度迁移学习评价方法

陈闻鹤，常志朋，周涵婷，程龙生，文卜玉

《中国管理科学》，Vol. 33, No. 8

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2025

基于模糊影响图和前景理论的重大疫情防控策略决策方法

常志朋，王治莹，陈闻鹤

《中国管理科学》，Vol. 33, No. 6

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2025

基于度量学习理论的马田系统改进及其应用研究

常志朋，顾玉萍，陈闻鹤

《管理工程学报》，Vol. 39, No. 2

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2025

新冠疫情防控政策遵从意愿影响机制的回溯性研究

谭珺嘉，常志朋，陈闻鹤

《安徽工业大学学报(自然科学版)》

2025

基于成对样本比较的相对贫困识别特征正交筛选方法

常志朋，陈闻鹤

《安徽工业大学学报(自然科学版)》

2025

Class-imbalanced flow meter fault diagnosis under small samples using reinforcement learning based Mahalanobis Taguchi system

Ting Mao, Xian-Dong Ma, Long-di Cheng, Wenhe Chen, Hanting Zhou, Yiling Gao

Measurement

DOI

2025

Integration of Data Generation and Transfer Learning for Remaining Useful Life Prediction of Lithium-Ion Batteries under Small Sample Conditions

Bihui Li, Long-Sheng Cheng, Yiling Gao, Pingping Wang, Wenhe Chen

Information and Communication Technology Convergence

DOI

2025

Deconfounded attribute graph embedding with GCN for zero-shot fault diagnosis in industrial processes

Xin-Han Chen, Hanting Zhou, Long-di Cheng, Wenhe Chen

Chemical Engineering and Science

DOI

2025

AttCWKAN: A Novel Convolution Weighted Kolmogorov–Arnold Networks With Attention Mechanism for Wind Turbine Gearbox Fault Diagnosis

Wenhe Chen, Hanting Zhou, Min Xia

IEEE Transactions on Instrumentation and Measurement

DOI

2025

Uncertainty-aware few-shot gearbox fault diagnosis via multi-scale spatial-attention and transformer integrated evidential deep learning

Hanting Zhou, Wenhe Chen, Peirui Qiao, Min Xia

Measurement science and technology

DOI

2024

基于深度学习的风电机组运行状态监测方法研究

陈闻鹤

《南京理工大学》

2024

A Novel State-of-Charge Estimation Method for Lithium-Ion Battery Using GDAformer and Online Correction

Wenhe Chen, Hanting Zhou, Ting Mao, Long-di Cheng, Min Xia

IEEE Transactions on Industrial Informatics

DOI

2024

Reliable fault diagnosis using evidential aggregated residual network under varying working conditions and noise interference

Hanting Zhou, Wenhe Chen, Peirui Qiao, Long-di Cheng, Min Xia

Knowledge-Based Systems

DOI

2023

Intelligent machine fault diagnosis with effective denoising using EEMD-ICA- FuzzyEn and CNN

Hanting Zhou, Wenhe Chen, Changqing Shen, Longsheng Cheng, Min Xia

International Journal Of Production Research，Vol. 610, No. 23

DOI

2023

基于自适应马氏空间与深度学习的滚动轴承退化趋势预测

吴梦蝶，程龙生，陈闻鹤

《系统工程与电子技术》

2023

改进BiLSTM-GRU-DMD的风机叶片结冰故障检测与状态评估模型

陈闻鹤，程龙生，常志朋，文卜玉，陈宗祥

《工业工程与管理》

2023

Fault diagnosis of complex hydraulic system based on fast Mahalanobis classification system with high-dimensional imbalanced data

Ting Mao, Wenhe Chen, L. Fu, Qifeng Yao, Long-di Cheng

Measurement

DOI

2023

Trustworthy and intelligent fault diagnosis with effective denoising and evidential stacked GRU neural network

Hanting Zhou, Wenhe Chen, Jing Liu, Long-di Cheng, Min Xia

Journal of Intelligent Manufacturing

DOI

2023

Condition monitoring of wind turbine using novel deep learning method and dynamic kernel principal components Mahalanobis distance

Wenhe Chen, Hanting Zhou, Long-di Cheng, J. Liu, Min Xia

Engineering applications of artificial intelligence

DOI

2023

Condition Monitoring and Anomaly Detection of Wind Turbines Using Temporal Convolutional Informer and Robust Dynamic Mahalanobis Distance

Wenhe Chen, Hanting Zhou, Long-di Cheng, Min Xia

IEEE Transactions on Instrumentation and Measurement

DOI

2023

Reliable and Intelligent Fault Diagnosis With Evidential VGG Neural Networks

Hanting Zhou, Wenhe Chen, Longsheng Cheng, Darren Williams, C. D. de Silva, Min Xia

IEEE Transactions on Instrumentation and Measurement

DOI

2023

Bearing Fault Diagnosis with Small Sample Based on Data-Driven

L. Fu, Longsheng Cheng, Wenhe Chen, Xinmeng Cai

Information and Communication Technology Convergence

DOI

2023

Performance Degradation Trend Prediction of Rolling Bearings Based on Mahalanobis Distance and LSTM

Mengdie Wu, Longsheng Cheng, Wenhe Chen, Xinmeng Cai

Information and Communication Technology Convergence

DOI

2023

Trustworthy Fault Diagnosis With Uncertainty Estimation Through Evidential Convolutional Neural Networks

Hanting Zhou, Wenhe Chen, Longsheng Cheng, J. Liu, Min Xia

IEEE Transactions on Industrial Informatics

DOI

2022

基于Lasso稳健马田系统的相对贫困识别方法

陈闻鹤，程龙生，常志朋，周涵婷

《系统工程理论与实践》，Vol. 42, No. 2

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2022

Interval Prediction of Photovoltaic Power Using Improved NARX Network and Density Peak Clustering Based on Kernel Mahalanobis Distance

Wenhe Chen, Longsheng Cheng, Z. Chang, Hanting Zhou, Qifeng Yao, Zhaiming Peng, Liping Fu, Zong-Xiang Chen

Complex

DOI

2022

Wind turbine blade icing detection using a novel bidirectional gated recurrent unit with temporal pattern attention and improved coot optimization algorithm

Wenhe Chen, Longsheng Cheng, Z. Chang, Bu-Yu Wen, P. Li

Measurement science and technology

DOI

2022

Wind Turbine Blade Icing Diagnosis Using Convolutional LSTM-GRU With Improved African Vultures Optimization

Wenhe Chen, Hanting Zhou, Longsheng Cheng, Min Xia

IEEE Open Journal of Instrumentation and Measurement

DOI

2021

核主成分马田系统及其应用

常志朋，陈闻鹤，王治莹

《系统工程理论与实践》，Vol. 41, No. 9

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2021

制造业质量提升的空间关联及传递机制研究

周涵婷，程龙生，蒋晶，陈闻鹤，张月义

《科技进步与对策》，Vol. 38, No. 12

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2021

Fault Diagnosis of Rolling Bearing Based on KPCA and Stacking Algorithm

Wenhe Chen, Longsheng Cheng, Z. Chang, L. Fu

Information and Communication Technology Convergence

DOI

2020

基于马田系统的企业疫情防控风险集对评估模型

陈闻鹤，常志朋，宫晓虹

《软科学》，Vol. 34, No. 11

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2020

乡村振兴视角下农村家庭贫困深层原因分析——基于MTS和ISM-SEM模型

陈闻鹤，常志朋

《数理统计与管理》，Vol. 39, No. 6

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2020

多维视角下农村家庭致贫深层机理研究——基于安徽省大别山区682户调查数据

陈闻鹤，常志朋，宫晓虹

《湖南农业大学学报：社会科学版》，Vol. 21, No. 1

下载原文 DOI

2020

Mahalanobis-Taguchi System for Symbolic Interval Data Based on Kernel Mahalanobis Distance

Z. Chang, Wenhe Chen, Yuping Gu, Haoyue Xu

IEEE Access

DOI

2019

国内外多维贫困研究进展

陈闻鹤，常志朋

《长江师范学院学报》

精选作品

期刊论文

State of Charge Estimation of Battery for Electric Vehicle Based on VMD-Basisformer Model

一种基于成对样本比较的马田系统特征筛选方法

融入底线思维的重大疫情防控策略三参照点决策方法

A Novel Graph Deviant-Associate Discrepancy Attention Network for Condition Monitoring With Wind Turbine Cyber-Physical Systems

An attribute-conditioned diffusion generative enhancement method for industrial fault diagnosis under data imbalance

Physics-Informed xLSTM Network for Lithium-ion Batteries State-of-Health Estimation

Temporal-physics aware dynamic network for remaining useful life prediction of rolling bearings

A two-stage reconstruction-based OSR–ZSD framework for generalized zero-shot fault diagnosis in industrial processes

TDAFDNet: A trustworthy data-augmented network for few shot fault diagnosis and noise interference

MAML-CGAN-Based Small-Sample Fault Data Generation for Industrial Processes

Dynamic Identification of Relative Poverty Among Chinese Households Using the Multiway Mahalanobis-Taguchi System: A Sustainable Livelihoods Perspective

重大疫情下社区韧性治理能力深度迁移学习评价方法

基于模糊影响图和前景理论的重大疫情防控策略决策方法

基于度量学习理论的马田系统改进及其应用研究

新冠疫情防控政策遵从意愿影响机制的回溯性研究

基于成对样本比较的相对贫困识别特征正交筛选方法

Class-imbalanced flow meter fault diagnosis under small samples using reinforcement learning based Mahalanobis Taguchi system

Integration of Data Generation and Transfer Learning for Remaining Useful Life Prediction of Lithium-Ion Batteries under Small Sample Conditions

Deconfounded attribute graph embedding with GCN for zero-shot fault diagnosis in industrial processes

AttCWKAN: A Novel Convolution Weighted Kolmogorov–Arnold Networks With Attention Mechanism for Wind Turbine Gearbox Fault Diagnosis

Uncertainty-aware few-shot gearbox fault diagnosis via multi-scale spatial-attention and transformer integrated evidential deep learning

基于深度学习的风电机组运行状态监测方法研究

A Novel State-of-Charge Estimation Method for Lithium-Ion Battery Using GDAformer and Online Correction

Reliable fault diagnosis using evidential aggregated residual network under varying working conditions and noise interference

Intelligent machine fault diagnosis with effective denoising using EEMD-ICA- FuzzyEn and CNN

基于自适应马氏空间与深度学习的滚动轴承退化趋势预测

改进BiLSTM-GRU-DMD的风机叶片结冰故障检测与状态评估模型

Fault diagnosis of complex hydraulic system based on fast Mahalanobis classification system with high-dimensional imbalanced data

Trustworthy and intelligent fault diagnosis with effective denoising and evidential stacked GRU neural network

Condition monitoring of wind turbine using novel deep learning method and dynamic kernel principal components Mahalanobis distance

Condition Monitoring and Anomaly Detection of Wind Turbines Using Temporal Convolutional Informer and Robust Dynamic Mahalanobis Distance

Reliable and Intelligent Fault Diagnosis With Evidential VGG Neural Networks

Bearing Fault Diagnosis with Small Sample Based on Data-Driven

Performance Degradation Trend Prediction of Rolling Bearings Based on Mahalanobis Distance and LSTM

Trustworthy Fault Diagnosis With Uncertainty Estimation Through Evidential Convolutional Neural Networks

基于Lasso稳健马田系统的相对贫困识别方法

Interval Prediction of Photovoltaic Power Using Improved NARX Network and Density Peak Clustering Based on Kernel Mahalanobis Distance

Wind turbine blade icing detection using a novel bidirectional gated recurrent unit with temporal pattern attention and improved coot optimization algorithm

Wind Turbine Blade Icing Diagnosis Using Convolutional LSTM-GRU With Improved African Vultures Optimization

核主成分马田系统及其应用

制造业质量提升的空间关联及传递机制研究

Fault Diagnosis of Rolling Bearing Based on KPCA and Stacking Algorithm

基于马田系统的企业疫情防控风险集对评估模型

乡村振兴视角下农村家庭贫困深层原因分析——基于MTS和ISM-SEM模型

多维视角下农村家庭致贫深层机理研究——基于安徽省大别山区682户调查数据

Mahalanobis-Taguchi System for Symbolic Interval Data Based on Kernel Mahalanobis Distance

国内外多维贫困研究进展

研究方向