Valve fault diagnosis of a reciprocating compressor based on hybrid method

被引：0
|
作者：
Zhang S.-Y. [1 ,2 ]
Xu M.-Q. [1 ]
Li Y.-B. [1 ]
Zhao H.-Y. [1 ]
Wang R.-X. [1 ]
机构：
[1] Astronautics Institute, Harbin Institute of Technology, Harbin
[2] Petrochina Harbin Petrochemical Company, Harbin
来源：
Zhendong yu Chongji/Journal of Vibration and Shock | 2016年 / 35卷 / 11期
关键词：
EEMD; Fault diagnosis; Power spectral entropy (PSE); Reciprocating compressor;
D O I：
10.13465/j.cnki.jvs.2016.11.026
中图分类号：
学科分类号：
摘要：
Due to strong nonlinear and non-stationary characteristics of a reciprocating compressor's valve vibration signals, the cubic spline interpolation EEMD (S-EEMD) method well utilized still has shortages of mode mixing and envelop inaccurate. Aiming at the above mentioned problems, the combined analysis method of EEMD based on the quartic Hermite interpolation (QH-EEMD) and the power spectral entropy (PSE) was proposed. The original signals were decomposed into a set of IMF components using the quartic Hermite method with advantages of shape-preserving and adjustability and the EEMD method promoting signals' continuity in different decomposing scale to improve the approximation accuracy of the interpolation curve and to decrease mode mixing. The advantages of the QH-EEMD with PSE (QH-EEMD with PSE) analysis method were verified comparing with those of the S-EEMD-PSE (S-EEMD with PSE) method and the QH-EEMD-SE (QH-EEMD with sample entropy) method. Taking common faults of a reciprocating compressor as the study objects, feature vectors of faults were extracted based on the QH-EEMD-PSE method and the faults were diagnosed accurately. © 2016, Editorial Office of Journal of Vibration and Shock. All right reserved.
引用
下载
收藏
页码：167 / 173
页数：6
相关论文
共 13 条
  • [1] Jardine A.K.S., Lin D., Banjevic D., A review on machinery diagnostics and prognostics implementing condition-based maintenance, Mechanical Systems and Signal Processing, 20, 7, pp. 1483-1510, (2006)
  • [2] Yuan X.-H., Qu L.-S., Wavelet analysis and its application to valve fault detection of reciprocating compressor, Journal of Vibration Engineering, 12, 3, pp. 410-415, (1999)
  • [3] Jiang H.-K., Dou D.-D., He Z.-J., A new method for identifying ultrasonic echo signal features using adaptive second generation wavelet, Journal of Northwestern Poly-technical University, 29, 1, pp. 93-96, (2011)
  • [4] Li Y.-J., Tse P.W., Yang X., Et al., EMD-based fault diagnosis for abnormal clearance between contacting components in a diesel engine, Mechanical Systems and Signal Processing, 24, pp. 193-210, (2010)
  • [5] Wu Z.-H., Huang N.E., Ensemble empirical mode decomposition: A noise-assisted data analysis method, Advances in Adaptive Data Analysis, 1, 1, pp. 1-41, (2009)
  • [6] Kopsinis Y., McLaughlin S., Investigation and performance enhancement of the empirical mode decomposition method based on a heuristic search optimization approach, IEEE Transactions on Signal Processing, 56, 1, pp. 1-13, (2008)
  • [7] Wang K.-M., Zhong N., Zhou H.-Y., Activity analysis of depression electroencephalogram based on modified power spectral entropy, Acta Phys. Sin., 63, 17, (2014)
  • [8] Jiang H.-K., Li C.-L., Li H.-X., An improved EEMD with multi wavelet packet for rotating machinery multi-fault diagnosis Mechanical, Systems and Signal Processing, 36, pp. 225-239, (2013)
  • [9] Li J.-C., Liu C.-Y., Yang L., Quartic Hermite interpolating splines with parameters, Journal of Computer Applications, 32, 7, pp. 1868-1870, (2012)
  • [10] Zhang S.-Y., Xu M.-Q., Wang R.-X., Et al., Application of EMD and SampEn to the fault diagnosis of reciprocating compressor valves, Journal of Harbin Engineering University, 35, 6, pp. 696-700, (2014)
12