Rotary Compressor Monitoring Using Frequency Analysis Technique
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Abstract
This study was demonstrated condition monitoring of typical domestic rotary compressor with various simulated conditions e.g. normal, blade fault, discharge valve fault and intake port fault. The developed technique was also used to identify mechanical and fluid flow activities in the compression cycle of a rotary compressor. Vibration signals based on crank angle domain could be used to describe compression cycle easier than signals on time domain. Frequency analysis based on power spectral density was able to use to demonstrate various activities in compression cycle and also identify various rotary compressor conditions.
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References
R. M. Jones, “Application note: CM3086 Monitoring of screw compressor bearing and rotational elements,” in SKF Reliability Systems, 2003
T. Kim and C. James Li, “Feedforward neural networks for fault diagnosis and severity assessment of a screw compressor,” Mechanical Systems and Signal Processing, vol. 9, no. 5, pp. 485–496, Sep. 1995.
M. H. El- Ghamry, R. L. Reuben, and J. A. Steel, “The development of automated of pattern recognition And statistical feature isolation techniques for the diagnosis of reciprocating machinery faults using acoustic emission echanical Systems and Signal Processing, vol. 17, no. 4, pp. 805–823, Jul. 2003.
J. D. Gill, R. M. Douglas, Y. S. Neo, R. L. Reuben, and J. A. Steel, “Examination of Plate Valve Behavior in a Small Reciprocating Compressor Using Acoustic Emission,” in The 24th EWGAE conference on Acoustic Emission, France, France, 2000, pp. 133–138.
J. D. Gill, E. R. Brown, M. Twite, G. Horner, R. L. Reuben, and J. A. Steel, in The 11th International Conference on COMADEM, Condition Monitoring and Diagnostic Engineering Management, Australia, 1998
S. Klincha-ame and P. Nivesrangsan, “Condition Monitoring of Compressors Using Sound and Vibration Signals,” in The 21st conference of Mechanical Engineering Network of Thailand, Chonburi, Thailand, 2007, vol. 2, pp. 735–740.
S. Klincha-ame and P. Nivesrangsan, “Condition Monitoring of Compressor Using Principal Component Analysis (PCA) Method,” in The 22nd Conference of Mechanical Engineering Network of Thailand 15-17 October 2008, Pathum Thani, Thailand, 2008, vol. 1, pp. 234–241.
K. Sud-doung and P. Nivesrangsan, “Condition Monitoring of a Two-Stage Reciprocating Compressor using Vibration Signals,” in The 23rd conference of Mechanical Engineering Network of Thailand, Cheng- Mai, Thailand, 2009, pp. 1–8.
P. Nivesrangsan and W. Nerdnoi, “Condition Monitoring of Rotary Compressor using Acoustic Emission,” in The 24nd conference of Mechanical Engineering Network of Thailand, Ubonrajchatani, Thailand, 2010, pp. 1–8.
S. Toprak and A. Iftar, “Fault Diagnosis on Hermetic Compressors Based on Sound Measurements,” in 2007 IEEE International Conference on Control Applications, 2007, pp. 783–788.
D. Dragomir-Daescu, A. A. Al-khalidy, M. Osama and G. B. Kliman, “Damage detection in refrigerator compressors using vibration and current signatures,” in 4th IEEE International Symposium on Diagnostic for Electric Machines, Power Electronics and Drives, 2003. SDEMPED 2003, 2003, pp. 355–360.
C. Ozturk, “Experimental investigation on the cycle nature of pressure time history in the compression chamber of a domestic refrigeration compressor,” in 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2000. ICASSP ’00. Proceedings, 2000, vol. 6, pp. 3874–3877 vol.6.