贾思祥｜山东科技大学｜学者主页

2025

Lifting wavelet-informed hierarchical domain adaptation network: An interpretable digital twin-driven gearbox fault diagnosis method

Sixiang Jia, Dingyi Sun, Khandaker Noman, Xin Wang, Yongbo Li

Reliability Engineering & System Safety，Vol. 254

DOI

2025

An Aircraft Rolling Bearing Fault Diagnosis Method Based on Deep Transfer Learning

Hao Fu, Shuai Xie, Lei Li, Sixiang Jia

DOI

2025

Physical knowledge-driven feature fusion and reconstruction network for fault diagnosis with incomplete multisource data

Ding-Yi Sun, Yong-Bo Li, Sixiang Jia, Siyuan Gao, Khandaker Noman, K. Eliker

Mechanical systems and signal processing

DOI

2025

An interpretable multiscale graph wavelet neural network for aeroengine fault diagnosis under time-varying speeds

Sixiang Jia, Yong-Bo Li, Ding-Yi Sun, Teng Wang, Khandaker Noman

Mechanical systems and signal processing

DOI

2024

Denoising graph attention wavelet network: an interpretable multi-sensor information fusion diagnostic method for rotating systems

Lei Gao, Zhihao Liu, Sixiang Jia, Qin-He Gao, Haixia Lei, Dong Wang

Measurement science and technology

DOI

2024

Physics-inspired multimodal machine learning for adaptive correlation fusion based rotating machinery fault diagnosis

Ding-Yi Sun, Yongbo Li, Zheng Liu, Sixiang Jia, Khandaker Noman

Information Fusion

DOI

2024

A Rotating Machinery Fault Diagnosis Method Based on Dynamic Graph Convolution Network and Hard Threshold Denoising

Qiting Zhou, Longxian Xue, Jie He, Sixiang Jia, Yong-Bo Li

Italian National Conference on Sensors

DOI

2023

Multi-representation symbolic convolutional neural network: a novel multisource cross-domain fault diagnosis method for rotating system

Sixiang Jia, Yong-Bo Li, Gang Mao, Khandaker Noman

Structural Health Monitoring

DOI

2023

Transferable dynamic enhanced cost-sensitive network for cross-domain intelligent diagnosis of rotating machinery under imbalanced datasets

Gang Mao, Yong-Bo Li, Zhiqiang Cai, Bin Qiao, Sixiang Jia

Engineering applications of artificial intelligence

DOI

2023

Non-contact diagnosis for gearbox based on the fusion of multi-sensor heterogeneous data

Dingyi Sun, Yongbo Li, Sixiang Jia, Ke Feng, Zheng Liu

Information Fusion

DOI

2023

Deep causal factorization network: A novel domain generalization method for cross-machine bearing fault diagnosis

Sixiang Jia, Yong-Bo Li, Xinyue Wang, Dingyi Sun, Zichen Deng

Mechanical systems and signal processing

DOI

2022

Fast general normalized convolutional sparse filtering via L1-L2 mixed norm for rotating machinery fault diagnosis

Baokun Han, Lei Guo, Jinrui Wang, Zongzhen Zhang, Guowei Zhang, Sixiang Jia

Measurement

DOI

2022

Partial Transfer Ensemble Learning Framework: A Method for Intelligent Diagnosis of Rotating Machinery Based on an Incomplete Source Domain

Gang Mao, Zhong-Zheng Zhang, Sixiang Jia, Khandaker Noman, Yong-Bo Li

Italian National Conference on Sensors

DOI

2022

Partial Domain Adaptation Method Based on Class-Weighted Alignment for Fault Diagnosis of Rotating Machinery

Xiao Zhang, Jin-Rui Wang, Sixiang Jia, Bao-Kun Han, Zong-Zhen Zhang

IEEE Transactions on Instrumentation and Measurement

DOI

2022

Interactive dual adversarial neural network framework: an open-set domain adaptation intelligent fault diagnosis method of rotating machinery

Gang Mao, Yong-Bo Li, Sixiang Jia, Khandaker Noman

Measurement

DOI

2021

A Weighted Subdomain Adaptation Network for Partial Transfer Fault Diagnosis of Rotating Machinery

Sixiang Jia, Jinrui Wang, Xiao Zhang, Baokun Han

Entropy

DOI

2021

Hybrid distance-guided adversarial network for intelligent fault diagnosis under different working conditions

Baokun Han, Xiao Zhang, Jinrui Wang, Zenghui An, Sixiang Jia, Guowei Zhang

Measurement

DOI

2021

An enhanced sparse filtering method for transfer fault diagnosis using maximum classifier discrepancy

Huaiqian Bao, Zhenhao Yan, Shanshan Ji, Jinrui Wang, Sixiang Jia, Guowei Zhang, Baokun Han

Measurement Science and Technology

DOI

2020

An Intelligent Diagnosis Method of Bearing Fault Based on Acoustic Signal Processing

Guowei Zhang, Shanshan Ji, Baokun Han, Sixiang Jia

2020 11th International Conference on Prognostics and System Health Management (PHM-2020 Jinan)

DOI

2020

A Novel Deep Sparse Filtering Method for Intelligent Fault Diagnosis by Acoustic Signal Processing

Guowei Zhang, Jinrui Wang, Baokun Han, Sixiang Jia, Xiaoyu Wang, Jingtao He

Shock and Vibration

DOI

2020

Imbalanced Fault Classification of Bearing via Wasserstein Generative Adversarial Networks with Gradient Penalty

Baokun Han, Sixiang Jia, Guifang Liu, Jinrui Wang

Shock and Vibration

DOI

2020

A Novel Transfer Learning Method for Fault Diagnosis Using Maximum Classifier Discrepancy With Marginal Probability Distribution Adaptation

Sixiang Jia, Jinrui Wang, Baokun Han, Guowei Zhang, Xiaoyu Wang, Jingtao He

IEEE Access

DOI

2020

Data-Enhanced Stacked Autoencoders for Insufficient Fault Classification of Machinery and its Understanding via Visualization

Baokun Han, Xiaoyu Wang, Shanshan Ji, Guowei Zhang, Sixiang Jia, Jingtao He

IEEE Access

DOI

2020

Research and Application of Regularized Sparse Filtering Model for Intelligent Fault Diagnosis Under Large Speed Fluctuation

Baokun Han, Guowei Zhang, Jinrui Wang, Xiaoyu Wang, Sixiang Jia, Jingtao He

IEEE Access

DOI

贾思祥

精选作品

期刊论文

Lifting wavelet-informed hierarchical domain adaptation network: An interpretable digital twin-driven gearbox fault diagnosis method

An Aircraft Rolling Bearing Fault Diagnosis Method Based on Deep Transfer Learning

Physical knowledge-driven feature fusion and reconstruction network for fault diagnosis with incomplete multisource data

An interpretable multiscale graph wavelet neural network for aeroengine fault diagnosis under time-varying speeds

Denoising graph attention wavelet network: an interpretable multi-sensor information fusion diagnostic method for rotating systems

Physics-inspired multimodal machine learning for adaptive correlation fusion based rotating machinery fault diagnosis

A Rotating Machinery Fault Diagnosis Method Based on Dynamic Graph Convolution Network and Hard Threshold Denoising

Multi-representation symbolic convolutional neural network: a novel multisource cross-domain fault diagnosis method for rotating system

Transferable dynamic enhanced cost-sensitive network for cross-domain intelligent diagnosis of rotating machinery under imbalanced datasets

Non-contact diagnosis for gearbox based on the fusion of multi-sensor heterogeneous data

Deep causal factorization network: A novel domain generalization method for cross-machine bearing fault diagnosis

Fast general normalized convolutional sparse filtering via L1-L2 mixed norm for rotating machinery fault diagnosis

Partial Transfer Ensemble Learning Framework: A Method for Intelligent Diagnosis of Rotating Machinery Based on an Incomplete Source Domain

Partial Domain Adaptation Method Based on Class-Weighted Alignment for Fault Diagnosis of Rotating Machinery

Interactive dual adversarial neural network framework: an open-set domain adaptation intelligent fault diagnosis method of rotating machinery

A Weighted Subdomain Adaptation Network for Partial Transfer Fault Diagnosis of Rotating Machinery

Hybrid distance-guided adversarial network for intelligent fault diagnosis under different working conditions

An enhanced sparse filtering method for transfer fault diagnosis using maximum classifier discrepancy

An Intelligent Diagnosis Method of Bearing Fault Based on Acoustic Signal Processing

A Novel Deep Sparse Filtering Method for Intelligent Fault Diagnosis by Acoustic Signal Processing

Imbalanced Fault Classification of Bearing via Wasserstein Generative Adversarial Networks with Gradient Penalty

A Novel Transfer Learning Method for Fault Diagnosis Using Maximum Classifier Discrepancy With Marginal Probability Distribution Adaptation

Data-Enhanced Stacked Autoencoders for Insufficient Fault Classification of Machinery and its Understanding via Visualization

Research and Application of Regularized Sparse Filtering Model for Intelligent Fault Diagnosis Under Large Speed Fluctuation

研究方向