Abnormal Condition Monitoring and Diagnosis for Coal Mills Based on Support Vector Regression

Abnormal Condition Monitoring and Diagnosis for Coal Mills Based on Support Vector Regression

Abnormal condition monitoring is an essential part in ensuring the reliability and safety and guaranteeing the efficiency for industrial processes. This paper proposes a monitoring and diagnosis framework applied to coal mills in thermal power plants. The support vector regression (SVR) method with...

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Bibliographic Details
Main Authors: Xingyun Hong, Zhengguo Xu, Zhenwei Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Abnormal condition monitoring
fault diagnosis
support vector regression
coal mill
performance
Online Access:https://ieeexplore.ieee.org/document/8910588/

Internet

https://ieeexplore.ieee.org/document/8910588/

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