A Gear Fault Identification using Wavelet Transform, Rough set Based GA, ANN and C4.5 Algorithm

Procedia Engineering - Tập 97 - Trang 1831-1841 - 2014
C. Rajeswari1, B. Sathiyabhama2, S. Devendiran3, K. Manivannan3
1School of Information Technology and Engineering, VIT University, Vellore, Tamil Nadu, India
2Department of Computer Science and Engineering, Sona College of Technology, Salem, Tamil Nadu,India
3School of Mechanical and Building Sciences,VIT University, Vellore, Tamil Nadu, India

Tài liệu tham khảo

McFadden, 1986, Detection fatigue cracks in gears by amplitude and phase demodulation of meshing vibration, J. of Vib and Acoustics, 108, 165, 10.1115/1.3269317 Taylor, 1995, Back to the basics of rotating machinery vibration analysis, Sound Vib., 29, 12 J.F.A. Leblanc, J.R.F. Dube and B. Devereux, (1990)Helicopter gearbox vibration analysis in the Canadian forces — applications and lessons, Proc. of the first int. conf., gearbox noise and vibration, Cambridge, UK,, pp. 173-177. Lin, 2003, Gearbox fault diagnosis using adaptive wavelet filter, Mech.Systems and Signal Processing, 17, 1259, 10.1006/mssp.2002.1507 Tse, 2004, Machine fault diagnosis through an effective exact wavelet analysis, J. of Sound and Vibration, 1005, 10.1016/j.jsv.2003.09.031 Liu, 2007 Weixiang Sun, 2007, Jiaqing Li-Decision tree and PCA-based fault diagnosis of rotating machinery- Mech, Systems and Signal Processing, 21, 1300, 10.1016/j.ymssp.2006.06.010 Ngoc-Tu Nguyen, 2008, Optimal feature selection using genetic algorithm for mechanical fault detection of induction motor J. of Mech, Sci and Tech, 22 Sugumaran, 2007, Feature selection using Decision Tree and classification through Proximal Support Vector Machine for fault diagnostics of roller bearing, Mech. Systems and Signal Processing, 21, 930, 10.1016/j.ymssp.2006.05.004 Samanta, 2004, Gear fault detection using artificial neural networks and support vector machines with genetic algorithms, Mech. Systems andSignal Processing, 625, 10.1016/S0888-3270(03)00020-7 N. Tandon and BC. Nakra, “Detection of defects in rolling element bearings by vibration monitoring,” J. Instn of Engrs (India) — Mech Eng 73,1993, p.271-82. Collacott, 1977 N. Saravanan, V.N.S. Kumar Siddabattuni, K.I. Ramachandran, Fault diagnosis of spur bevel gear box using artificial neural network (ANN), and proximal support vector machine (PSVM), applied soft computing 10 {2010} 344-360. Mallat, 1998 Hagan, 1996 Hornik, 1991, Approximation capabilities of multilayer feed forward networks, Neural Networks, 4, 251, 10.1016/0893-6080(91)90009-T Fausett, 2004, Fundamentals of Neural Networks Architectures Hosseini Abbas, 2008, Neural network approach for estimation of hole-diameter in thin plates perforated by spherical projectiles, Thin-Walled Structures, 46, 592, 10.1016/j.tws.2008.01.012 Zhang, 1992 Quinlan, J.R. (1993). C4.5: Programs for machine learning. San Francisco, CA: Morgan Kaufman. Rami, 2011, Feature subset selection using differential evolution and a statistical repair mechanism, 11515 Zhang, 2005, Discretization of continuous attributes in rough set theory and its application, Computational and Information Science Lecture Notes inComputer Science, 3314, 1020, 10.1007/978-3-540-30497-5_157 Ngoc-Tu Nguyen, 2008, Optimal feature selection using genetic algorithm for mechanical fault detection of induction motor, Journal of Mechanical Science and Technology, 22 Velayutham, 2011, Unsupervised quick reduct algorithm using rough set theory, J. of Elect Sci and Tech., 9, 193