Anomaly Detection of Nonstationary Long-Memory Processes Based on Fractional Cointegration Vector Autoregression
Author:
Affiliation:
1. State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China
2. Faculty of Information Technology, Beijing University of Technology, Beijing, China
Funder
National Natural Science Foundation of China
National Key R&D Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Safety, Risk, Reliability and Quality
Link
http://xplorestaging.ieee.org/ielx7/24/10339143/10265166.pdf?arnumber=10265166
Reference37 articles.
1. A Sparse Reconstruction Strategy for Online Fault Diagnosis in Nonstationary Processes with No a Priori Fault Information
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4. Science and technology for water purification in the coming decades
5. Fractional dimensional nonlinear cointegration and error correction model;jiang;Statistics and decision-makinz,2007
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