Unified Flowing Normality Learning for Mechanical Anomaly Detection in Continuous Time-Varying Conditions

被引：0
|
作者：
Hu, Chenye [1 ]
Wu, Jingyao [1 ]
Sun, Chuang [1 ]
Chen, Xuefeng [1 ]
Nandi, Asoke K. [1 ,2 ]
Yan, Ruqiang [1 ]
机构：
[1] School of Mechanical Engineering, Xi’an Jiaotong University, Shaanxi, Xi’an,710049, China
[2] The Department of Electronic and Electrical Engineering, Brunel University London, Uxbridge,UB83PH, United Kingdom
来源：
SSRN |
关键词：
Anomaly detection - Condition monitoring - Continuous time systems - Inference engines - Learning systems - Probability distributions - Signal encoding - Time varying networks;
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