1. Huang, N.E., Sheng, Z., Long, S.R., Wu, M.C., Shih, H.H., Zheng, Q., Yen, N., Tung, C.C. and liu, H.H. “The Empirical Mode Decomposition and The Hilbertspectrum for Nonlinear and Non-stationary Time Series Analysis”, Proceedings of The Royal Societya, Vol. 454, No. 1971, pp. 903–995, 1998.
  2. Srinivasan, R., Rengaswamy, R. and Miller, R. “A modified Empirical Mode Decomposition (EMD) Process for Oscillation Characterization In Control Loops”, control Eng. Pract. Vol. 15, No. 9, pp. 1135-1148, 2007.
  3. Sonia, C.V., Ramon, G.C. and Georgina, C.L. “Crackle Sounds Analysis by Empirical Mode Decomposition”, IEEE Eng. Biol. Mag. Vol. 26, No. 1, pp. 40-47, 2007.
  4. Ambikairajah, E. “Emerging Features for Speaker Recognition”, 6th Int. Conf. Communications & Signal Processing, Singapore, 2007.
  5. Huang, N.E. and Wu, Z.H. “A review on Hilbert-Huang Transform: Method and its Application to Geophysical Studies”, Rev. Geophys, Vol. 46, No. 2, pp. 1-23, 2008.
  6. Wu, C.H. and Yao, A.F. “Laboratory Measurements of Limiting Freak Waves on Currents”, Journal of Geophysical Research, Vol. 109, No. 12, PP. 1-18, 2004.
  7. Lundquist, J.K. “Intermittent and Elliptical Inertial Oscillations in the Atmospheric Boundary Layer”, Journal of the Atmospheric Sciences, Vol. 60, No. 21, pp. 2661-2673, 2003.
  8. Lin, S., Yang, J. and Zhou, L. “Damage Identification of a Benchmark Building for Structural Health Monitoring”, Smart Materials and Structures, Vol. 14, No. 2, pp. 162-169, 2005.
  9. Jaouher, B.A., Fnaiech, N., Saidi, L., Chebel-Morello, B. and Fnaiech, F. “Application of Empirical Decomposition Bearing Fault Diagnosis Based on Vibration”, Syst. Signal Process. Vol. 89, No. 1, pp. 16-72, 2015.
  10. Mazrooei, M. “EMD a New Approach to Gear box Fault Diagnosis”, 4th Conferonce on Condition Monitoring and Diagnosis pp. 928-938, Sharif University, Tehran, 1388. (In Persian)
  11. Norouzi Keshtan, M. and Nouri Khajavi, M. “Bearings Fault Diagnosis Using Vibrational Signal Analysis by EMD Method”, Research in Nondestructive Evaluation. Vol. 27, No. 3, pp. 155–174, 2016.
  12. Lei, Y., Lin, J., He, Z. and Zuo, MJ. “A Review on Empirical Mode Decomposition in Fault Diagnosis of Rotating Machinery”, Mech Syst Signal Process, Vol. 35, No. 1, pp. 108-26, 2013.
  13. Arnaud, I.Z. “The Hilbert-Huang Transform for Damage Detection in Plate Structures”, MSC Thesis, Maryland University, 2006.
  14. Loparo, K.A. “Bearing Vibration Data set, Case Western Reserve University”;
  15. https://csegroups.edu/bearingdatacenter/pages/download-data-file, 2003.
  16. Hunt, K.J., Haas, R. and Murray, S. “Extending The Function Equivalent of Radial Basis Function Networks and Fuzzy Inference Systems”, IEEE Transaction on Neural Networks ,Vol. 7, No. 3, pp. 776-781, 1996.
  17. Dogan, E. “Reference Evapotranspiration Estimation Using Adaptive Neuro-fuzzy Inference System”, Journal of Irrigation and Drainage vol. 58, No. 3, pp. 617-628,2008.
  18. R.Jang, J.S. and Sun, C.T. “Neuro-Fuzzy Modeling and Control”, Proceedings of IEEE, Vol. 83, No 3, pp. 378-406, 1995.