丁煦｜合肥工业大学｜学者主页

2026

Stable causal graph convolutional domain generalization for cross-condition fault diagnosis

Xu Ding, Hanjiang Xiao, Zihua Yan, Xiaobin Xia, Hua Zhai, Juan Xu

Engineering Applications of Artificial Intelligence

DOI

2026

Causal Representation Decoupling for Fault Diagnosis Using Superpixel-Based Graph Neural Networks

Xu Ding, Zhixian Shi, Qile Ren, Honghao Gao, Juan Xu, Rong Tan

IEEE Transactions on Instrumentation and Measurement

DOI

2026

A Causal Balance Sampling Framework for Few-Shot Cross-Component Fault Diagnosis

Jiahan Zhu, Juan Xu, Xu Ding, Xiaochuan Li

Asia Conference on Algorithms, Computing and Machine Learning (CACML)

DOI

2026

An interpretable multivariate remaining useful life prediction method of mechanical equipment based on adaptive threshold aggregation causal discovery

Juan Xu, Zhengyu Deng, Mingguang Dai, Xinhang Yu, Xu Ding, Ruqiang Yan

Reliability Engineering & System Safety

DOI

2026

Elevating Interpretability in Bearing Fault Diagnosis: A Knowledge Distillation Framework Integrating Dynamic and Causal a Priori

Xu Ding, Zihua Yan, Hao Wu, Qile Ren, Hua Zhai, Juan Xu

IEEE Transactions on Automation Science and Engineering

DOI

2026

Pressure-only diagnosis of external gear pumps via ground-test modality augmentation and physics-guided feature enhancement

Xiao-Chuan Li, Jinyang Wang, Juan Xu, Xu Ding, Peng-Fei Liang, David Mba, Chuan Li

Expert systems with applications

DOI

2026

CDRNet: A Causality Disentanglement Few-Shot Mechanical Fault Diagnosis

Juan Xu, Hao-Yu He, Xu Ding, Qile Ren, Mingguang Dai, Yong-Bin Zhang

IEEE Transactions on Reliability

DOI

2026

IFWDA: A Domain Adaptation Framework for Multicause Fault Diagnosis Using Information Flow and Causal Feature Weighting

Xu Ding, Lvfei Meng, Hao Wu, Qile Ren, Juan Xu

IEEE Transactions on Reliability

DOI

2025

MF-EC数据增强和FRFT下的轴承故障诊断

丁煦，吴俊杰，徐娟，朱强

《机械设计与制造》

DOI

2025

A front-door adjustment based cross-component few-shot learning fault diagnosis approach considering unobservable confounders

Juan Xu, Lele Chen, Jintao Ying, Xu Ding, Xiaochuan Li, Quanying Ren

Engineering Applications of Artificial Intelligence

DOI

2025

Counterfactual Inference for Generalized Zero-Shot Compound-Fault Diagnosis

Juan Xu, Hui Kong, Xu Ding, Xiaohui Yuan

IEEE Transactions on Instrumentation and Measurement

DOI

2025

Dynamic Causal Knowledge Graphs Formation for Fault Diagnostics under Variable Operating Conditions

Zhiwei Xia, Xu Ding, Hui Zhou, Mingguang Dai, Lvfei Meng, Juan Xu

IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)

DOI

2025

Causal Enhancement Learning Framework for Visual Defect Detection of Industrial Components

Zhixian Shi, Zhiwei Xia, Hui Zhou, Mingguang Dai, Xu Ding, Juan Xu

2025 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control

DOI

2025

Road Network Bottleneck Prediction Based on Inductive Congestion Propagation: A Causal Anonymous Walk Approach

Xu Ding, Jun Chen, Hang Zheng, Bixun Zhang, Chong Zhao

IEEE transactions on intelligent transportation systems (Print)

DOI

2024

Causal Discovery for Rolling Bearing Fault Under Missing Data: From the Perspective of Causal Effect and Information Flow

Xu Ding, Hao Wu, Junlong Wang, Juan Xu, Miao Xin

IEEE Transactions on Instrumentation and Measurement

DOI

2024

EICD: Causal Structure Recovery of Bearing Failure Data Containing Latent Confounding

Xu Ding, Jun Chen, Guanhua Chen, Juan Xu

IEEE Sensors Journal

DOI

2024

CIRNet: An Interpretable Cross-Component Few-Shot Mechanical Fault Diagnosis

Xu Ding, Jintao Ying, GuanHua Chen, Juan Xu

IEEE Transactions on Reliability

DOI

2024

An Intelligent Fault Diagnosis Framework for Rolling Bearings With Integrated Feature Extraction and Ordering-Based Causal Discovery

Xu Ding, Junlong Wang, Hao Wu, Juan Xu, Miao Xin

IEEE Sensors Journal

DOI

2024

CGASNet: A Generalized Zero-Shot Learning Compound Fault Diagnosis Approach for Bearings

Juan Xu, Haiqiang Zhang, Weiwei Chen, Yuqi Fan, Xu Ding

IEEE Transactions on Instrumentation and Measurement

DOI

2024

Multi-Stage Contrastive Causal Learning Framework for Rolling Bearing Fault Diagnosis Under Different Working Conditions

Guan-Hua Chen, Xu Ding, Hao Wu, Hua Zhai, Juan Xu

2024 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)

DOI

2023

A zero-shot fault semantics learning model for compound fault diagnosis

Juan Xu, Shaokang Liang, Xu Ding, Ruqiang Yan

Expert Systems With Applications，Vol. 221

DOI

2023

Generative Zero-Shot Compound Fault Diagnosis Based on Semantic Alignment

Juan Xu, Hui Kong, K. Li, Xu Ding

IEEE Transactions on Instrumentation and Measurement

DOI

2023

A Novel Variable Convolution Kernel Design According to Time-frequency Resolution Altering in Bearing Fault Diagnosis

Xu Ding, Yang Wang, Hang Zheng, Juan Xu, Hua Zhai

Mobile Networks and Applications

DOI

2022

Zero-shot learning for compound fault diagnosis of bearings

Juan Xu, Long Zhou, Weihua Zhao, Yuqi Fan, Xu Ding, Xiaohui Yuan

Expert Systems With Applications，Vol. 190

DOI

2022

半监督阶梯网络和GAN在滚动轴承故障诊断的应用

丁煦，王栋，翟华

《机械设计与制造》

2022

ATPRINPM: A single-source domain generalization method for the remaining useful life prediction of unknown bearings

Juan Xu, Bin Ma, Yuqi Fan, Xu Ding

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

DOI

2022

Counterfactual Faithful Data Generation Based on Disentangled Representation for Compound Fault Diagnosis of Rolling Bearings

Xu Ding, Qiang Zhu, Song Wang, Yiqi Zhang, Hui Wang, Juan Xu

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

DOI

2022

Rolling Bearing Fault Diagnosis with Disentangled and Robust Causal Model

Xu Ding, Hui Wang, Song Wang, Yiqi Zhang, Qiang Zhu, Hui Zhou

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

DOI

2022

Hard Negative Samples Contrastive Learning for Remaining Useful-Life Prediction of Bearings

Juan Xu, Lei Qian, Weiwei Chen, Xu Ding

Lubricants

DOI

2021

Zero-shot learning compound fault diagnosis of bearings

Juan Xu, Long Zhou, Wei-Hua Zhao, Yuqi Fan, Xu Ding

IEEE International Joint Conference on Neural Network

DOI

2021

Deep Transfer Learning Remaining Useful Life Prediction of Different Bearings

Juan Xu, Mengting Fang, Wei-Hua Zhao, Yuqi Fan, Xu Ding

IEEE International Joint Conference on Neural Network

DOI

2020

DC-NNMN: Across Components Fault Diagnosis Based on Deep Few-Shot Learning

Juan Xu, Pengfei Xu, Zhenchun Wei, Xu Ding, Lei Shi

Shock and Vibration

DOI

2020

A combined kernel-based fuzzy C-means clustering and spectral centroid for instantaneous frequency estimation

Hua Zhai, Hongquan Mao, Dong Wang, Xue-song Lu, Xu Ding

DOI

2014

Rolling bearing fault diagnosis based on probabilistic mixture model and semi-supervised ladder network

Xu Ding, Xuesong Lu, Dong Wang, Qingzhou Lv, Hua Zhai

Advances in Mechanical Engineering

DOI

丁煦

精选作品

期刊论文

Stable causal graph convolutional domain generalization for cross-condition fault diagnosis

Causal Representation Decoupling for Fault Diagnosis Using Superpixel-Based Graph Neural Networks

A Causal Balance Sampling Framework for Few-Shot Cross-Component Fault Diagnosis

An interpretable multivariate remaining useful life prediction method of mechanical equipment based on adaptive threshold aggregation causal discovery

Elevating Interpretability in Bearing Fault Diagnosis: A Knowledge Distillation Framework Integrating Dynamic and Causal a Priori

Pressure-only diagnosis of external gear pumps via ground-test modality augmentation and physics-guided feature enhancement

CDRNet: A Causality Disentanglement Few-Shot Mechanical Fault Diagnosis

IFWDA: A Domain Adaptation Framework for Multicause Fault Diagnosis Using Information Flow and Causal Feature Weighting

MF-EC数据增强和FRFT下的轴承故障诊断

A front-door adjustment based cross-component few-shot learning fault diagnosis approach considering unobservable confounders

Counterfactual Inference for Generalized Zero-Shot Compound-Fault Diagnosis

Dynamic Causal Knowledge Graphs Formation for Fault Diagnostics under Variable Operating Conditions

Causal Enhancement Learning Framework for Visual Defect Detection of Industrial Components

Road Network Bottleneck Prediction Based on Inductive Congestion Propagation: A Causal Anonymous Walk Approach

Causal Discovery for Rolling Bearing Fault Under Missing Data: From the Perspective of Causal Effect and Information Flow

EICD: Causal Structure Recovery of Bearing Failure Data Containing Latent Confounding

CIRNet: An Interpretable Cross-Component Few-Shot Mechanical Fault Diagnosis

An Intelligent Fault Diagnosis Framework for Rolling Bearings With Integrated Feature Extraction and Ordering-Based Causal Discovery

CGASNet: A Generalized Zero-Shot Learning Compound Fault Diagnosis Approach for Bearings

Multi-Stage Contrastive Causal Learning Framework for Rolling Bearing Fault Diagnosis Under Different Working Conditions

A zero-shot fault semantics learning model for compound fault diagnosis

Generative Zero-Shot Compound Fault Diagnosis Based on Semantic Alignment

A Novel Variable Convolution Kernel Design According to Time-frequency Resolution Altering in Bearing Fault Diagnosis

Zero-shot learning for compound fault diagnosis of bearings

半监督阶梯网络和GAN在滚动轴承故障诊断的应用

ATPRINPM: A single-source domain generalization method for the remaining useful life prediction of unknown bearings

Counterfactual Faithful Data Generation Based on Disentangled Representation for Compound Fault Diagnosis of Rolling Bearings

Rolling Bearing Fault Diagnosis with Disentangled and Robust Causal Model

Hard Negative Samples Contrastive Learning for Remaining Useful-Life Prediction of Bearings

Zero-shot learning compound fault diagnosis of bearings

Deep Transfer Learning Remaining Useful Life Prediction of Different Bearings

DC-NNMN: Across Components Fault Diagnosis Based on Deep Few-Shot Learning

A combined kernel-based fuzzy C-means clustering and spectral centroid for instantaneous frequency estimation

Rolling bearing fault diagnosis based on probabilistic mixture model and semi-supervised ladder network

研究方向