[1] H. Yang, J. Mathew, L. Ma, Fault diagnosis of rolling element bearings using basis pursuit, Mechanical Systems and Signal Processing, Vol. 19, No. 2, pp. 341-356, 2005/03/01/, 2005.
[2] M. Liang, I. Soltani Bozchalooi, An energy operator approach to joint application of amplitude and frequency-demodulations for bearing fault detection, Mechanical Systems and Signal Processing, Vol. 24, No. 5, pp. 1473-1494, 2010/07/01/, 2010.
[3] W. Su, F. Wang, H. Zhu, Z. Zhang, Z. Guo, Rolling element bearing faults diagnosis based on optimal Morlet wavelet filter and autocorrelation enhancement, Mechanical Systems and Signal Processing, Vol. 24, No. 5, pp. 1458-1472, 2010/07/01/, 2010.
[4] D. Dou, J. Yang, J. Liu, Y. Zhao, A rule-based intelligent method for fault diagnosis of rotating machinery, Knowledge-Based Systems, Vol. 36, pp. 1-8, 2012/12/01/, 2012.
[5] B. Li, P.-y. Liu, R.-x. Hu, S.-s. Mi, J.-p. Fu, Fuzzy lattice classifier and its application to bearing fault diagnosis, Applied Soft Computing, Vol. 12, No. 6, pp. 1708-1719, 2012/06/01/, 2012.
[6] D. Wang, P. W. Tse, K. L. Tsui, An enhanced Kurtogram method for fault diagnosis of rolling element bearings, Mechanical Systems and Signal Processing, Vol. 35, No. 1, pp. 176-199, 2013/02/01/, 2013.
[7] H. Xu, G. Chen, An intelligent fault identification method of rolling bearings based on LSSVM optimized by improved PSO, Mechanical Systems and Signal Processing, Vol. 35, No. 1, pp. 167-175, 2013/02/01/, 2013.
[8] H. Al-Bugharbee, I. Trendafilova, A fault diagnosis methodology for rolling element bearings based on advanced signal pretreatment and autoregressive modelling, Journal of Sound and Vibration, Vol. 369, pp. 246-265, 2016/05/12/, 2016.
[9] P. Baraldi, F. Cannarile, F. Di Maio, E. Zio, Hierarchical k-nearest neighbours classification and binary differential evolution for fault diagnostics of automotive bearings operating under variable conditions, Engineering Applications of Artificial Intelligence, Vol. 56, pp. 1-13, 2016/11/01/, 2016.
[10] V. Vakharia, V. K. Gupta, P. K. Kankar, Bearing Fault Diagnosis Using Feature Ranking Methods and Fault Identification Algorithms, Procedia Engineering, Vol. 144, pp. 343-350, 2016/01/01/, 2016.
[11] J. Singh, A. K. Darpe, S. P. Singh, Rolling element bearing fault diagnosis based on Over-Complete rational dilation wavelet transform and auto-correlation of analytic energy operator, Mechanical Systems and Signal Processing, Vol. 100, pp. 662-693, 2018/02/01/, 2018.
[12] M. Ö. Yaylı, Stability analysis of gradient elastic microbeams with arbitrary boundary conditions, Journal of Mechanical Science and Technology, Vol. 29, No. 8, pp. 3373-3380, 2015/08/01, 2015.
[13] M. Özgür Yayli, An efficient solution method for the longitudinal vibration of nanorods with arbitrary boundary conditions via a hardening nonlocal approach, Journal of Vibration and Control, Vol. 24, No. 11, pp. 2230-2246, 2018/06/01, 2016.
[14] M. Ö. Yayli, Buckling analysis of a microbeam embedded in an elastic medium with deformable boundary conditions, Micro & Nano Letters, Vol. 11, No. 11, pp. 741-745, 2016.
[15] M. Ö. Yayli, On the torsional vibrations of restrained nanotubes embedded in an elastic medium, Journal of the Brazilian Society of Mechanical Sciences and Engineering, Vol. 40, No. 9, pp. 419, 2018/08/14, 2018.
[16] M. Ö. Yayli, Torsional vibrations of restrained nanotubes using modified couple stress theory, Microsystem Technologies, Vol. 24, No. 8, pp. 3425-3435, 2018/08/01, 2018.
[17] A. Moradi, H. Makvandi, I. B. Salehpoor, Multi objective optimization of the vibration analysis of composite natural gas pipelines in nonlinear thermal and humidity environment under non-uniform magnetic field, JOURNAL OF COMPUTATIONAL APPLIED MECHANICS, Vol. 48, No. 1, pp. 53-64, 2017.
[18] P. Alimouri, S. Moradi, R. Chinipardaz, UPDATING FINITE ELEMENT MODEL USING FREQUENCY DOMAIN DECOMPOSITION METHOD AND BEES ALGORITHM, THE JOURNAL OF COMPUTATIONAL APPLIED MECHANICS, Vol. 48, No. 1, pp. 75-88, 2017. English
[19] M. Goodarzi, M. N. Bahrami, V. Tavaf, Refined plate theory for free vibration analysis of FG nanoplates using the nonlocal continuum plate model, Journal of Computational Applied Mechanics, Vol. 48, No. 1, pp. 123-136, 2017.
[20] A. Zargaripoor, A. Bahrami, M. Nikkhah bahrami, Free vibration and buckling analysis of third-order shear deformation plate theory using exact wave propagation approach, Journal of Computational Applied Mechanics, Vol. 49, No. 1, pp. 102-124, 06/01, 2018. en
[21] A. Zargaripoor, M. Nikkhah bahrami, A wave-based computational method for free vibration and buckling analysis of rectangular Reddy nanoplates, Journal of Computational Applied Mechanics, 05/23, 2018. en
[22] M. Zarchi, B. Attaran, Performance improvement of an active vibration absorber subsystem for an aircraft model using a bees algorithm based on multi-objective intelligent optimization, Engineering Optimization, Vol. 49, No. 11, pp. 1905-1921, 2017/11/02, 2017.
[23] M. Zarchi, B. Attaran, Improved design of an active landing gear for a passenger aircraft using multi-objective optimization technique, Structural and Multidisciplinary Optimization, Vol. 59, No. 5, pp. 1813-1833, 2019/05/01, 2019.
[24] S. Patil, V. Phalle, Fault Detection of Anti-friction Bearing using Ensemble Machine Learning Methods, International Journal of Engineering, Vol. 31, No. 11, pp. 1972-1981, 2018. En
[25] M. Heidari, Fault Detection of Bearings Using a Rule-based Classifier Ensemble and Genetic Algorithm, International Journal of Engineering, Transactions A: Basics, Vol. 30, pp. 604-609, 04/01, 2017.
[26] X. Li, L. Han, H. Xu, Y. Yang, H. Xiao, Rolling bearing fault analysis by interpolating windowed DFT algorithm, International Journal of Engineering, Transactions A: Basics, Vol. 32, pp. 121-126, 01/01, 2019.
[27] A. Moshrefzadeh, A. Fasana, The Autogram: An effective approach for selecting the optimal demodulation band in rolling element bearings diagnosis, Mechanical Systems and Signal Processing, Vol. 105, pp. 294-318, 2018/05/15/, 2018.
[28] J. Antoni, The spectral kurtosis of nonstationary signals: Formalisation, some properties, and application, in Proceeding of, 1167-1170.
[29] Diagnostic Techniques, Vibration‐based Condition Monitoring, pp. 167-227, 2010/12/19, 2010.
[30] J. Antoni, R. B. Randall, The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines, Mechanical Systems and Signal Processing, Vol. 20, No. 2, pp. 308-331, 2006/02/01/, 2006.
[31] J. Antoni, Fast computation of the kurtogram for the detection of transient faults, Mechanical Systems and Signal Processing, Vol. 21, No. 1, pp. 108-124, 2007/01/01/, 2007.