Adjustable Multimode Monitoring With Hybrid Variables and Its Application in a Thermal Power Plant
Author:
Affiliation:
1. Department of Automation, Tsinghua University, Beijing, China
2. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China
Funder
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/ielx7/9424/9989328/09732201.pdf?arnumber=9732201
Reference31 articles.
1. Recursive Correlative Statistical Analysis Method With Sliding Windows for Incipient Fault Detection
2. A Novel Bit Level Time Series Representation with Implication of Similarity Search and Clustering
3. Multimode Process Monitoring Based on Switching Autoregressive Dynamic Latent Variable Model
4. A Common and Individual Feature Extraction-Based Multimode Process Monitoring Method With Application to the Finishing Mill Process
5. Incipient sensor fault diagnosis in multimode processes using conditionally independent Bayesian learning based recursive transformed component statistical analysis
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