研究论文
Graph attention network with Granger causality map for fault detection and root cause diagnosis
Yingxiang Liu, Behnam Jafarpour
University of Southern California
来源Computers & Chemical Engineering
年份2023
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学术脉络
学科主题
工程Fault Detection and Control Systems
Risk and Safety Analysis · Mineral Processing and Grinding
参考文献 56
Survey on data-driven industrial process monitoring and diagnosis
被引 1,434S. Joe Qin · Annual Reviews in Control · 2012
Root cause diagnosis of plant-wide oscillations using Granger causality
被引 183Tao Yuan, S. Joe Qin · Journal of Process Control · 2013
Concurrent monitoring of operating condition deviations and process dynamics anomalies with slow feature analysis
被引 300Chao Shang, Fan Yang, Xinqing Gao · AIChE Journal · 2015
此处列出前 3 条
引用本文 68
Data-Driven Process Monitoring and Fault Diagnosis: A Comprehensive Survey
被引 93Afrânio Melo, Maurício Melo Câmara, José Carlos Pinto · Processes · 2024
Review on Graph Neural Networks for Process Soft Sensor Development, Fault Diagnosis, and Process Monitoring
被引 81Mingwei Jia, Yuan Yao, Yi Liu · Industrial & Engineering Chemistry Research · 2025
Graph Neural Networks With Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data
被引 28Aleksandr Kovalenko, Vitaliy Pozdnyakov, Ilya Makarov · IEEE Access · 2024
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