STAGED: A Spatial-Temporal Aware Graph Encoder–Decoder for Fault Diagnosis in Industrial Processes-Reference-Cited by-同舟云学术

STAGED: A Spatial-Temporal Aware Graph Encoder–Decoder for Fault Diagnosis in Industrial Processes

Published:2024-02 Issue:2 Volume:20 Page:1742-1752
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Li Shizhong¹^ORCID,Meng Wenchao¹^ORCID,He Shibo¹^ORCID,Bi Jichao²^ORCID,Liu Guanglun¹^ORCID

Affiliation:

1. State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, and the Key Laboratory of CS&AUS of Zhejiang Province, Zhejiang University, Hangzhou, China

2. Zhejiang Institute of Industry and Information Technology, Hangzhou, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/10411967/10138507.pdf?arnumber=10138507

Reference30 articles.

1. Reviewing Cyber-Physical System as a Part of Smart Factory in Industry 4.0

2. Knowledge-Based Fault Diagnosis in Industrial Internet of Things: A Survey

3. A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data

4. Interaction-Aware Graph Neural Networks for Fault Diagnosis of Complex Industrial Processes

5. A Unifying Review of Deep and Shallow Anomaly Detection

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