A Method of Fault Diagnosis for Reciprocating Compressor Based on Phase Space Reconstruction (PSR) and Empirical Mode Decomposition (EMD) |
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| Journal | Applied Mechanics and Materials (Volume 151) |
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| Volume | New Trends in Mechatronics and Materials Engineering |
| Edited by | Elwin Mao and Xibing Li |
| Pages | 83-86 |
| DOI | 10.4028/www.scientific.net/AMM.151.83 |
| Citation | Yan Liu et al., 2012, Applied Mechanics and Materials, 151, 83 |
| Online since | January, 2012 |
| Authors | Yan Liu, Wen Yuan, Shi Gang Wang |
| Keywords | Correlation Dimension, EMD, Fault Diagnosis, PSR, Reciprocating Compressor |
| Abstract | Extract correlation dimension of vibration signal of reciprocating compressor based on G-P algorithm and empirical mode decomposition（EMD）technology, with found mode of EMD de-noise, with the incorporation of method of self-interrelated function and method of pseudo-phase portrait ensure delay-time and calculate embedding dimension by EMD method. Through simulation analysis of Lorenz system, Apply the method to identify valve faults of reciprocating compressor, the result indicate that the modeling method is effective. |
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