A Comprehensive Study of Fault Diagnostics of Roller Bearings Using Continuous Wavelet Transform
Prabhakar S., Mohanty A.R., Sekhar A.S. Application of discrete wavelet transform for detection of ball bearing race faults. Tribology International. 2002; 35: 793–800p.
Lou X., Loparo K.A. Bearing fault diagnosis based on wavelet transform and fuzzy inference. Mechanical Systems and Signal Processing. 2004; 18:1077–95p.
Sugumaran V., Muralidharan V., Ramachandran K.I. Feature selection using decision tree and classification through proximal support vector machine for fault diagnostics of roller bearing. Mechanical Systems and Signal Processing. 2001; 21: 930–42p.
Abbasion S., Rafsanjani A., Farshidianfar A., et al. Rolling element bearings multi-fault classification based on the wavelet denoising and support vector machine. Mechanical Systems and Signal Processing. 2007; 21: 2933–45p.
Yu G., Li C., Kamarthi S. Machine fault diagnosis using a cluster-based wavelet feature extraction and probabilistic neural networks. International Journal of Advance Manufacturing Technology. 2009; 42: 145–51p.
Li Y. Study on Incipient Fault Diagnosis for Rolling Bearings Based on Wavelet and Neural Networks. 4th International Conference on Natural Computation. 2008 Oct 18–20; Jinan. IEEE; 2008. 262–5p.
Wang D., Miao Q., Fan X., et al. Rolling element bearing fault detection using an improved combination of Hilbert and Wavelet transforms. Journal of Mechanical Science and Technology. 2009; 23: 3292-3301p.
Su W., Wang F. , Zhu H., Zhixin et al. Rolling element bearing faults diagnosis based on optimal Morlet wavelet filter and autocorrelation enhancement. Mechanical Systems and Signal Processing. 2010; 24: 1458–72p.
Chebil J., Noel G., Mesbah M., et al. Wavelet Decomposition for the Detection and Diagnosis of Faults in Rolling Element Bearings. Jordan Journal of Mechanical and Industrial Engineering. 2009; 3( 4): 260–7p.
Kankar P.K., Sharma S.C., Harsha S.P. Fault diagnosis of ball bearings using continuous wavelet transform. Applied Soft Computing. 2011;11: 2300–12p.
Saravanan N., Ramachandran K.I. Incipient gear box fault diagnosis using discrete wavelet transform (DWT) for feature extraction and classification using artificial neural network (ANN). Expert Systems with Applications. 2010; 37: 4168–81p.
Konar P., Chattopadhyay P. Bearing fault detection of induction motor using wavelet and Support Vector Machines (SVM). Applied Soft Computing. 2011;11: 4203–11p.
Li H., Fu L., Zheng H. Bearing fault diagnosis based on amplitude and phase map of Hermitian wavelet transform. Journal of Mechanical Science and Technology. 2011; 25: 2731–40p.
Feng K., Jiang Z., He W., et al. Rolling element bearing fault detection based on optimal antisymmetric real Laplace wavelet. Measurement. 2011; 44: 1582–91p.
Kanneg D., Wang W. A Wavelet Spectrum Technique for Machinery Fault Diagnosis. Journal of Signal and Information Processing 2011; 2: 322–9p.
Bendjama H., Bouhouche S., Boucherit M.S. Application of Wavelet Transform for Fault Diagnosis in Rotating Machinery. International Journal of Machine Learning and Computing. 2012; 2(1): 82–7p.
Chen K., Li X., Wang F., et al. Bearing Fault Diagnosis Using Wavelet Analysis. International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering. (ICQR2MSE). 2012 June 15–18; Chengdu. 2012. 699–702p.
Li P., Kong F., He Q., et al. Multiscale slope feature extraction for rotating machinery fault diagnosis using wavelet analysis. Measurement. 2013; 46: 497–505p.
Shen C., Wang D., Kong F, et al. Fault diagnosis of rotating machinery based on the statistical parameters of wavelet packet paving and a generic support vector regressive classifier. Measurement. 2013; 46: 1551–64p.
Muralidharan V., Sugumaran V. A comparative study of Naïve Bayes classifier and Bayes net classifier for fault diagnosis of monoblock centrifugal pump using wavelet analysis. Applied Soft Computing. 2012; 12: 2023–9p.
Muralidharan V., Sugumaran V. Feature extraction using wavelets and classification through decision tree algorithm for fault diagnosis of mono-block centrifugal pump. Measurement. 2013; 46: 353–9p.
Kumar H.S., Dr. Srinivasa P.P., Sriram N.S., et al. ANN based evaluation of performance of wavelet transform for condition monitoring of rolling element bearing. International Conference On Design And Manufacturing, IConDM 2013. Procedia Engineering. 2013; 64: 805–14p.
Meng L., Xiang J., Wang Y., et al. A hybrid fault diagnosis method using morphological filter–translation invariant wavelet and improved ensemble empirical mode decomposition. Mechanical Systems and Signal Processing. 2015; 50–51: 101–15p.
- There are currently no refbacks.