Construction of adaptive redundant multiwavelet packet and its application to compound faults detection of rotating machinery

Science China Technological Sciences

Volumn 55, Issue 8, 2012, Pages 2083-2090

  Chen, Jing Long ^a   Zi, Yan Yang ^a   He, Zheng Jia ^a   Wang, Xiao Dong ^b  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b CNPC TUBULAR GOODS RESEARCH INSTITUTE   (China)

Author keywords

Adaptive redundant multiwavelet packet; Compound faults detection; Feature extraction; Rolling element bearing

Indexed keywords

FEATURE EXTRACTION; ROLLER BEARINGS; ROTATING MACHINERY;

ADAPTIVE REDUNDANT MULTIWAVELET PACKETS; CATASTROPHIC ACCIDENTS; CHARACTERISTIC FREQUENCIES; COMPOUND FAULTS; MULTI-WAVELET PACKET; MULTI-WAVELET TRANSFORM; RELATIVE ENERGY RATIOS; ROLLING ELEMENT BEARING;

FAULT DETECTION;

EID: 84866060435     PISSN: 16747321     EISSN: 18691900     Source Type: Journal    
DOI: 10.1007/s11431-012-4846-1     Document Type: Article

References (15)

1. Yuan J, He Z J, Zi Y Y, et al. Gearbox fault diagnosis of rolling mills using multiwavelet sliding window neighboring coefficient denoising and optimal blind deconvolution. Sci China Ser E-Tech Sci, 2009, 52(10): 2801-2809
2. Wang X D, He Z J, Zi Y Y. Adaptive construction of multiwavelet and research on composite fault diagnosis of rolling bearing (in Chinese). J Vibration Eng, 2010, 23(4): 438-444
3. Geronimo J S, Hardin D P, Massopust P R. Fractal functions and wavelet expansions based on several scaling functions. J Approximation Theory, 1994, 78(3): 373-401
4. Chui C K, Lian J. A study of orthonormal multi-wavelets. Appl Nume Math, 1996, 20(3): 273-298
5. Xia X G. Design of prefilters for discrete multiwavelet transform. IEEE Trans Signal Process, 1996, 44(1): 25-35
6. Lebrun J, Vetterli M. Balanced multiwavelets theory and design. IEEE Trans Signal Process, 1998, 46(4): 1119-1251
7. Shen L, Tan H H, Tham J Y. Symmetric-antisymmetric orthonormal multiwavelets and related scalar wavelets. Appl Comput Harmon Anal, 2000, 8(3): 258-279
8. Wang X D, Zi Y Y, He Z J. Multiwavelet construction via adaptive symmetric lifting scheme and its applications for rotating machinery fault diagnosis. Meas Sci Technol, 2009, 20: 045103
9. Mallat S. A Wavelet Tour of Signal Processing. 2nd ed. Beijing: Academic Press, 2003
10. Strela V. Multiwavelets: Theory and Application. Cambridge: Massachusetts Institute of Technology, 1996
11. Li H K, Zhang Z X, Ma X J, et al. Investigation on diesel engine fault diagnosis by using Hilbert spectrum entropy (in Chinese). J Dalian Univ Technol, 2008, 48(2): 220-224
12. Antoni J. The spectral kurtosis: A useful tool for characterizing non-stationary signals. Mech Syst Signal Process, 2006, 20: 282-307
13. Daubechies I. Ten Lectures on Wavelets. Philadelphia, PA: SIAM, 1992, Chapters 1. 3-5
14. Yuan J, He Z J, Zi Y Y. Adaptive multiwavelets via two-scale similarity transform for rotating machinery fault diagnosis. Mech Syst Signal Process, 2009, 23: 1490-1508
15. Hwang S, He R. Improving real-parameter genetic algorithm with simulated annealing for engineering problems. Adva Eng Software, 2006, 37: 406-418