智能故障诊断相关资料

Books

• [2021] Advanced Methods for Fault Diagnosis and Fault-Tolerant Control [paper]
• [2014] Data-Driven Design of Fault Diagnosis and Fault-Tolerant Control Systems [paper]
• [2008] Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools [paper]

Surveys

• [2023] 非平衡数据下基于自适应迁移与宽度学习的多工况故障诊断, 中国科学 [paper]
• [2023] 数据驱动的多工况过程异常监测方法: 综述与展望, 中国科学 [paper]
• [2023] 面向工业监控典型监督任务的深度迁移学习方法: 现状、挑战与展望, 中国科学 [paper]
• [2023] Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016, IEEE TIM [paper]
• [2022] A Perspective Survey on Deep Transfer Learning for Fault Diagnosis in Industrial Scenarios: Theories, Applications and Challenges, Mechanical Systems and Signal Processing [paper]
• [2021] Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study, IEEE TIM [paper]
• [2020] Data-Driven Fault Diagnosis for Traction Systems in High-Speed Trains: A Survey, Challenges, and Perspectives, IEEE TITS [paper]

Transfer Learning

• [2023] Tensor-DAAD: When Tensor Meets Online Early Fault Detection with Transfer Learning, Measurement [paper]
• [2023] A Tensor-Based Domain Alignment Method for Intelligent Fault Diagnosis of Rolling Bearing in Rotating Machinery, Reliability Engineering and System Safety [paper]
• [2023] Discriminative Fisher Embedding Dictionary Transfer Learning for Object Recognition, IEEE TNNLS [paper]
• [2023] Discriminative Manifold Distribution Alignment for Domain Adaptation, IEEE TSMC [paper]
• [2023] Domain Adaptation Multitask Optimization, IEEE TC [paper]
• [2022] Weighted Correlation Embedding Learning for Domain Adaptation, IEEE TIP [paper]
• [2022] Joint Adaptive Dual Graph and Feature Selection for Domain Adaptation, IEEE TCSVT [paper]
• [2021] Manifold Transfer Learning via Discriminant Regression Analysis, IEEE TMM [paper]
• [2021] Locality-Adaptive Structured Dictionary Learning for Cross-Domain Recognition, IEEE TCSVT [paper]
• [2020] Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment, AAAI [paper]
• [2019] Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation, IEEE TNNLS [paper]
• [2019] LSDT: Latent Sparse Domain Transfer Learning for Visual Adaptation, IEEE TIP [paper]

Low-Rank Representation

• [2023] A Comprehensive Survey of Sparse Regularization: Fundamental, State-Of-The-Art Methodologies and Applications on Fault Diagnosis, Expert Systems with Applications [paper]
• [2023] Sparse Low-Rank Matrix Estimation With Nonconvex Enhancement for Fault Diagnosis of Rolling Bearings, IEEE TIM [paper]
• [2022] Enhanced Sparse Low-Rank Representation via Nonconvex Regularization for Rotating Machinery Early Fault Feature Extraction, IEEE TMECH [paper]
• [2022] Sparse and Low-Rank Decomposition of the Time–Frequency Representation for Bearing Fault Diagnosis Under Variable Speed Conditions, ISA Transactions [paper]
• [2022] Low-Rank Enforced Fault Feature Extraction of Rolling Bearings in a Complex Noisy Environment: A Perspective of Statistical Modeling of Noises, IEEE TIM [paper]
• [2022] New Approach for Bearing Fault Diagnosis Based on Fractional Spatio-Temporal Sparse Low Rank Matrix Under Multichannel Time-Varying Speed Condition , IEEE TIM [paper]
• [2022] Low-Rank Reconstruction-Based Autoencoder for Robust Fault Detection, Control Engineering Practice [paper]
• [2022] A Local Transient Feature Extraction Method via Periodic Low Rank Dynamic Mode Decomposition for Bearing Incipient Fault Diagnosis, Measurement [paper]
• [2021] Low-Rank Joint Embedding and Its Application for Robust Process Monitoring, IEEE TIM [paper]

Journals

• IEEE Transactions on Industrial Electronics [link]
• IEEE Transactions on Industrial Informatics [link]
• IEEE Transactions on Circuits and Systems I: Regular Papers [link]
• IEEE Transactions on Circuits and Systems II: Express Briefs [link]
• IEEE Transactions on Control Systems Technology [link]
• IEEE Transactions on Industry Applications [link]
• IEEE Transactions on Automation Science and Engineering [link]
• IEEE Transactions on Instrumentation and Measurement [link]
• IEEE Journal of Emerging and Selected Topics in Industrial Electronics [link]
• 博士，担任《Mechanical System and Signal Processing》审稿专家，担任
  《中国电机工程学报》优秀审稿专家，《控制与决策》，《系统工程与电子技术》等EI期刊审稿专家，担任《计算机科学》，《电子器件》 ， 《现代制造过程》 ，《船舶工程》 ，《轴承》 ，《工矿自动化》 ，《重庆理工大学学报》 ，《噪声与振动控制》 ，《机械传动》 ，《机械强度》 ，《机械科学与技术》 ，《机床与液压》，《声学技术》，《应用声学》，《石油机械》，《西安工业大学学报》等中文核心审稿专家。
  擅长领域：现代信号处理，机器学习，深度学习，数字孪生，时间序列分析，设备缺陷检测、设备异常检测、设备智能故障诊断与健康管理PHM等。