Intermittent fault detection based on feature ensemble
Author:
Affiliation:
1. University of Electronic Science and Technology of China,School of Automation Engineering,Chengdu,China,611731
2. PipeChina West Pipeline Company,Urumqi,China,830011
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10295546/10295577/10295943.pdf?arnumber=10295943
Reference28 articles.
1. Recursive Hybrid Variable Monitoring for Fault Detection in Nonstationary Industrial Processes
2. Parity space vector machine approach to robust fault detection for linear discrete-time systems;zhong;IEEE Trans Syst Man Cybern,2019
3. Disturbance detection and isolation by dynamic principal component analysis
4. Statistical process monitoring: basics and beyond;joe qin;J Chemom,2003
5. Anomaly monitoring of nonstationary processes with continuous and two-valued variables;wang;IEEE Trans Syst Man Cybern,2023
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