Compressor Surge Detection Based on Support Vector Data Description
2012 ◽
Vol 152-154
◽
pp. 1545-1549
Keyword(s):
Axial flow compressors work as an indispensable device in industry fields. Surge is a phenomenon of aerodynamic instability, which characterized by disruption of flow. When a compressor works in surge state, the vibration is so intense that it may causes accidents. Detecting surge timely and accurately not only insure safety of compressors but also is a key of active control of aerodynamic instability. Support vector data description (SVDD) is a one-class classification method developed based on the theory of support vector machine (SVM). In this paper, we introduce SVDD into the field of compressor surge detection. It demonstrates that SVDD method can give a warning far ahead of surge.
2013 ◽
Vol 336-338
◽
pp. 566-569
2014 ◽
Vol 2014
◽
pp. 1-6
◽
2007 ◽
Vol 2
(2)
◽
pp. 83-88
◽
Keyword(s):
2003 ◽
Vol 17
(03)
◽
pp. 333-347
◽