Negative selection principle based on the natural immune system makes it possible to develop a new fault diagnosis technique. This paper investigates a fault diagnosis method for the gas valve of the reciprocating compressor based on the negative selection algorithm. The negative selection algorithm combining the clonal selection principle with the mutation theory is used to produce the detectors representing one fault by the sample indicating normal. The detectors representing abnormal are used to perform the fault detection and recognition. The preprocessing using discrete fourier transform to extract the characteristic frequency interval makes the method more efficient and reliable. Experimental data of three kinds of fault from the vibration signal of the gas valve of the reciprocating compressor is used to test the method. The results prove that this method is very efficient.
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ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
September 10–13, 2006
Philadelphia, Pennsylvania, USA
Conference Sponsors:
- Design Engineering Division and Computers and Information in Engineering Division
ISBN:
0-7918-4257-6
PROCEEDINGS PAPER
Immune-Based Fault Diagnosis Method for Gas Valve Available to Purchase
Jiye Shao,
Jiye Shao
Harbin Institute of Technology, Harbin, China
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Rixin Wang,
Rixin Wang
Harbin Institute of Technology, Harbin, China
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Jinbo Gao,
Jinbo Gao
Harbin Institute of Technology, Harbin, China
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Minqiang Xu
Minqiang Xu
Harbin Institute of Technology, Harbin, China
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Jiye Shao
Harbin Institute of Technology, Harbin, China
Rixin Wang
Harbin Institute of Technology, Harbin, China
Jinbo Gao
Harbin Institute of Technology, Harbin, China
Minqiang Xu
Harbin Institute of Technology, Harbin, China
Paper No:
DETC2006-99046, pp. 413-418; 6 pages
Published Online:
June 3, 2008
Citation
Shao, J, Wang, R, Gao, J, & Xu, M. "Immune-Based Fault Diagnosis Method for Gas Valve." Proceedings of the ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 3: 26th Computers and Information in Engineering Conference. Philadelphia, Pennsylvania, USA. September 10–13, 2006. pp. 413-418. ASME. https://doi.org/10.1115/DETC2006-99046
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