Intelligent recognition of gearbox status by wavelet packet decomposition

Proceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010

Volumn , Issue , 2010, Pages 446-450

  Feizi Derakhshi, Mohammad Reza ^a   Derakhshan, Masood R P ^b  

^a UNIVERSITY OF TABRIZ   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Condition monitoring; Energy of signal; Entropy; Gearbox; RBF neural network; Support vector machine

Indexed keywords

ENERGY LEVEL; ENERGY OF SIGNAL; FEATURE VECTORS; GEARBOX; INDUSTRIAL ENVIRONMENTS; INTELLIGENT RECOGNITION; LABORATORY CONDITIONS; RBF NETWORK; RBF NEURAL NETWORK; ROTATING DEVICE; SHANNON ENTROPY; WAVELET PACKET DECOMPOSITION;

EMBEDDED SOFTWARE; EMBEDDED SYSTEMS; ENTROPY; FEATURE EXTRACTION; GEARS; IMAGE RETRIEVAL; INFORMATION TECHNOLOGY; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; RANDOM VARIABLES; ROTATION; SUPPORT VECTOR MACHINES; VECTORS; WAVELET ANALYSIS; WAVELET DECOMPOSITION;

CONDITION MONITORING;

EID: 78249241242     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIT.2010.102     Document Type: Conference Paper

References (17)

1. P.D McFadden, J.G Cook, L.M. Forster, 'Decomposition of gear vibration signals by generalized S transform' Systems and Signal Processing 13 (5) (1999) 691-707.
2. P.D. McFadden, 'Detection fatigue cracks in gears by amplitude and phase demodulation of meshing vibration' Journal of Vibration and Acoustics 108 (4) (1986) 165-170.
3. W. Q. Wang, F. Ismail, and M. F. Golnaraghi, "Assessment of gear damage monitoring techniques using vibration measurements," Mechanical Systems and Signal Processing, vol. 15, no. 5, pp. 905-922, 2001.
4. D. Brie, M. Tomczak, H. Oehlmann, and A. Richard, "Gear crack detection by adaptive amplitude and phase demodulation," Mechanical Systems and Signal Processing, vol. 11, no. 1, pp. 149-167, 1997.
5. Junsheng Cheng, Dejie Yu, and Yu Yang, ' A Fault Diagnosis Approach for Gears Based on IMF ARModel and SVM' EURASIP Journal on Advances in Signal Processing Volume 2008, Article ID 647135, 7 pages.
6. S. Loutridis, A. Trochidis, 'Classification of gear faults Using Hoelder exponents', Mechanical Systems and Signal Processing 18(2004) 1009-1030.
7. Lai Wuxing a, Peter W. Tse, Zhang Guicai, Shi Tielin, 'Classification of gear faults using cumulates and the radial basis function network', Mechanical Systems and Signal Processing 18 (2004) 381-389.
8. P. C. Russell, J. Cosgrave, D. Tomtsis, A. Vourdas, L. Stergioulas, G.R. Jones, Extraction of information from acoustic vibration signals using Gabor transform type devices, Measurement Science and Technology 9 (1998) 1282-1290.
9. W.J. WANG 'APPLICATION OF WAVELETS TO GEARBOX VIBRATION SIGNALS FOR FAULT DETECTION', Journal of Sound and Vibration (1996), 927-939.
10. N. Saravanan V. N.S. Kumar Siddabattuni, K.I. Ramachandran 'A comparative study on classification of features by SVM and PSVM extracted using Morlet wavelet for fault diagnosis of spur bevel gear box Expert Systems with Applications 35 (2008) 1351-1366.
11. Sun Fang, Wei Zijie, 'Rolling Bearing Fault Diagnosis Based on Wavelet Packet and RBF Neural Network' Proceedings of the 26th Chinese Control Conference July 26-31, 2007, Zhangjiajie, Hunan, China.
12. Yanhui Feng, Fernando S. Schlindwein 'Normalized wavelet packets quantifiers or condition monitoring' Mechanical Systems and Signal Processing (2008), doi: 10.1016/j. ymssp. 2008.07.002.
13. B. Samanta, K.R. Al-Balushi, S.A. Al-Araimi, 'Artificial neural networks and support vector machines with genetic algorithm for bearing fault detection' Engineering Applications of Artificial Intelligence 16 (2003) 657-665.
14. Kadambe S., Srinivasan P. 'Application of Adaptive Wavelets for Speech ', Optical Engineering 33(7), pp. 2204-2211, July 1994.
15. V. N. Vapid, Statistical Learning Theory, John Wiley & Sons, New York, NY, USA, 1998.
16. C.E. Shannon, W. Weaver, The Mathematical Theory of Communication, The University of Illinois Press, Urbana, 1959.
17. J. Rafiee, P.W. Tse, A. Harifi, M.H. Sadeghi 'A novel technique for selecting mother wavelet function using an intelligent fault diagnosis system' Expert Systems with Applications (2008), doi: 10.1016/j.eswa. 2008.05.052.