Fault Diagnosis of Complex Industrial Systems Based on Multi-Granularity Dictionary Learning and Its Application

Author:

Liu Zeyi1,Wu Dehao1ORCID,Huang Keke1ORCID,Yang Chunhua1ORCID,Gui Weihua1

Affiliation:

1. School of Automation, Central South University, Changsha, China

Funder

National Natural Science Foundation of China

Major Key Project of the Peng Cheng Laboratory

National Key Research and Development Program of China

Science and Technology Innovation Program of Hunan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Hierarchical Matrix Factorization-Based Method for Intelligent Industrial Fault Diagnosis;Sensors;2024-08-21

2. Pre-Training Graph Neural Network for Fault Diagnosis and Safety Assessment;2024 IEEE International Conference on Industrial Technology (ICIT);2024-03-25

3. DSRKD: Joint Despecking and Super-Resolution of SAR Images via Knowledge Distillation;IEEE Transactions on Geoscience and Remote Sensing;2024

4. Transferable Manifold Projection Embedded Dictionary Learning for Multimode Process Monitoring;IEEE Transactions on Instrumentation and Measurement;2024

5. Manufacturing Knowledge Graph-Based Disentangled Prediction Framework and Industrial Practices;2023 6th International Conference on Robotics, Control and Automation Engineering (RCAE);2023-11-03

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