Intelligent Prediction of Fan Rotation Stall in Power Plants Based on Pressure Sensor Data Measured In-Situ

Intelligent Prediction of Fan Rotation Stall in Power Plants Based on Pressure Sensor Data Measured In-Situ

Blower and exhaust fans consume over 30% of electricity in a thermal power plant, and faults of these fans due to rotation stalls are one of the most frequent reasons for power plant outage failures. To accurately predict the occurrence of fan rotation stalls, we propose a support vector regression...

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Bibliographic Details
Main Authors: Xiaogang Xu, Songling Wang, Jinlian Liu, Xinyu Liu
Format: Article
Language:English
Published: MDPI AG 2014-05-01
Series:Sensors
Subjects:
rotation stall prediction
support vector machine
wavelet transform
energy efficiency
Online Access:http://www.mdpi.com/1424-8220/14/5/8794

Internet

http://www.mdpi.com/1424-8220/14/5/8794

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