حذف نویز از سیگنالهای ارتعاشی ماشینهای دوار به کمک تبدیل S مبتنی بر پنجرهی کایزر
1. D. He, X. Wang, S. Li, J. Lin, and M. Zhao, "Identification of multiple faults in rotating machinery based on minimum entropy deconvolution combined with spectral kurtosis", Mechanical Systems and Signal Processing, (2016).
2. P. McFadden and J. Smith, "Vibration monitoring of rolling element bearings by the high-frequency resonance technique — a review", Tribology International, 3-10 (1984).
3. H. Huang, F. Sun, P. Babyn, Z. Zhou, and L. Wang, "Medical Image Denoising and Compressing Using Discrete Orthonormal S-transform", Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics, (2015).
4. A. Bajaj and S. Kumar, "A robust approach to denoise ECG signals based on fractional Stockwell transform", Biomedical Signal Processing and Control, (2020).
5. S. Parolai, "Denoising of Seismograms Using the S Transform", Bulletin of the Seismological Society of America, 226-234 (2009).
6. J. Yi and J. Peng, "Power quality disturbances denoising using modified S-transform", 2009 International Conference on Sustainable Power Generation and Supply, (2009).
7. S. Wang, Y. He, B. Yin, W. Zeng, C. Li, and S. Ning, "Multi-Resolution Generalized S-Transform Denoising for Precise Localization of Partial Discharge in Substations", IEEE Sensors Journal, 4966-4980 (2021).
8. P. Kankar, S. C. Sharma, and S. Harsha, "Fault diagnosis of ball bearings using continuous wavelet transform", Applied Soft Computing, 2300-2312 (2011).
9. Q. Liu, F. Chen, Z. Zhou, and Q. Wei, "Fault Diagnosis of Rolling Bearing Based on Wavelet Package Transform and Ensemble Empirical Mode Decomposition", Advances in Mechanical Engineering, (2013).
10. J. Antoni, "Fast computation of the kurtogram for the detection of transient faults", Mechanical Systems and Signal Processing, 108-124 (2007).
11. S. N. Chegini, A. Bagheri, and F. Najafi, "Application of a new EWT-based denoising technique in bearing fault diagnosis", Measurement, 275-297 (2019).
12. C. Liang, Z. Teng, J. Li, W. Yao, S. Hu, Y. Yang, Q. He, "A Kaiser Window-Based S-Transform for Time-Frequency Analysis of Power Quality Signals", IEEE Transactions on Industrial Informatics, 965-975 (2022).
13. Bearing Data Center-Case Western Reserve University. http://csegroups.case.edu/bearingdatacenter/pages/welcomecase western-reserve-university-bearing-data center-website
14. R. Abdelkader, A. Kaddour, and Z. Derouiche, "Enhancement of rolling bearing fault diagnosis based on improvement of empirical mode decomposition denoising method", The International Journal of Advanced Manufacturing Technology, 3099-3117 (2018).