1. Rolling element bearings multi-fault classification based on the wavelet denoising and support vector machine;Abbasion;Mechanical Systems and Signal Processing,2007
2. Monitoring and diagnosis of rolling element bearings using artificial neural networks;Alguindigue;IEEE Transactions on Industrial Electronics,1993
3. Bhavaraju, K., Kankar, P., Sharma, S., & Harsha, S. (2010). A comparative study on bearings faults classification by artificial neural networks and self-organizing maps using wavelets (vol. 2, no. 5, pp. 1001–1008).
4. Case Western Reserve University, Bearing Data Center. .
5. Chang, C., & Lin, C. (2001). LIBSVM: a library for Support Vector Machines. In .