DocumentCode
1631980
Title
Vibration faults diagnosis for centrifugal ventilator based on DDAGSVM
Author
Wu, Xingwei
Author_Institution
Dept. of Energy & Power Eng., Shenyang Inst. of Eng., Shenyang, China
Volume
1
fYear
2012
Firstpage
318
Lastpage
321
Abstract
Multi-class algorithm based on Support Vector Machines, which is also called as Decision Directed Acyclic Graph method, is used for ventilator faults diagnosis in order to diagnose the vibration faults of centrifugal ventilator and improve ventilator run security and economical efficiency. Results indicate that the method is a novel means to ventilator faults diagnosis, which can not only diagnose common vibration faults accurately but also it has some features which are faster diagnosis rate and higher accuracy.
Keywords
fault diagnosis; support vector machines; vibration measurement; DDAGSVM; centrifugal ventilator; decision directed acyclic graph method; multiclass algorithm; support vector machines; vibration faults diagnosis; Databases; Fault diagnosis; Mathematical model; Support vector machines; Temperature measurement; Training; Vibrations; Centrifugal Ventilator; Faults Diagnosis; Support Vector Machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation & Measurement, Sensor Network and Automation (IMSNA), 2012 International Symposium on
Conference_Location
Sanya
Print_ISBN
978-1-4673-2465-6
Type
conf
DOI
10.1109/MSNA.2012.6324577
Filename
6324577
Link To Document