Mohammad Rahbar

Signal processing / condition monitoring

Mohammad Rahbar received his B.Sc. and M.Sc. degrees in Mechanical Engineering from the University of Guilan, Iran, in 2010 and 2017, respectively. His research interest is in the area of signal processing, Fault Diagnosis and condition monitoring.



1.M. Rahbar, S. Amirkhani, A. Chaibakhsh, F. Rahbar “Unbalance Fault Localization in Rotating Machinery Disks Using EEMD and Optimized Multi-class SVM”, 2017 IEEE International Instrumentation and Measurement Technology Conference, (2017).
2.M. Rahbar, A. Chaibakhsh, Comparison between empirical mode decomposition and wavelet transform for unbalance detection on rotating machinery using opt imized support vector machine, Modares Mechanical Engineering, Vol. 17, No. 2, pp. 325-332, 2017 (in Persian)
3.M. Rahbar, A. Chaibakhsh, (2016). A Comparison Between EMD and EEMD in The Unbalance Detection of Rotating Machinery Using and Optimized Support Vector Machine, 2nd International Conference on Signal Processing and Intelligent Systems, Amirkabir University of Technology, Tehran, Iran (Fa).
4.M. Rahbar, A. Chaibakhsh, R. Ansari, (2016). Evaluation Numbers of Intrinsic Mode Functions Used in The Unbalance Detection of Rotating Machinery Using Ensemble Empirical Mode Decomposition and Optimized Support Vector Machine, 4th International Conference on Applied Research in Computer Engineering and Signal Processing, Tehran, Iran.