Department of Mechanical Engineering
Dr. Sidra Khanam
|Qualification :||Ph.D (IIT Delhi)|
|Designation :||Assistant Professor|
|Thrust Area :||Condition Monitoring of Bearings, Modelling and detection of defects in rolling element bearings and gears,Signal processing of the vibration signals of rotor bearing system.|
|Address :||C1 Shah House, Hathi Dooba, Amir Nisah, Aligarh 202002|
|Email :||firstname.lastname@example.org / email@example.com|
|Joining Date :||2016-01-04|
|Nature of association :||Regular|
|Time Table :||Click to View|
|Download :||Click here to download study materials|
Dr. Sidra Khanam obtained her PhD degree from Indian Institute of Technology Delhi in the year 2016 where she was enrolled in Industrial Tribology, Machine Dynamics and Industrial Engineering Centre (ITMMEC). Prior to this, she obtained her B. Tech (Mechanical Engg.) degree from Zakir Husain College of Engg. & Tech., Aligarh Muslim University in 2009 and was awarded Maulana Tufail Ahmed medal from the University for being the topper of Mechanical Engineering Department. She has authored five international journals publications in highly reputed journal like Transactions of ASME, Journal of Vibration and Acoustics and Journal of Tribology. She has also five international conference proceeding publications and four national conference publication to her credit, for one of which, she has been awarded best paper presentation in the area from the Institute of Mechanical Engineers (IMechE) at London.
Her research interests include vibration analysis of rolling bearings with defects, modeling of local defects in bearings, detection and diagnosis of defects in rolling element bearings, signal processing of the vibration signals of rotor bearing system, and noise removal from the signal for extraction of pure information generated by the rotor bearing to assist in identification and location of defects.
Khanam, S., Dutt, J. K., Tandon, N., 2014, “Extracting Rolling Element Bearing Faults from Noisy Vibration Signal Using Kalman Filter,” ASME Journal of Vibration and Acoustics, 136, pp. 031008-1-11.
Khanam, S., Tandon, N., Dutt, J. K., 2014, “Fault Size Estimation in the Outer Race of Ball Bearing Using Discrete Wavelet Transform of the Vibration Signal,” Procedia Technology, 14, pp. 12-19.
Khanam, S., Dutt, J. K., Tandon, N., 2015, “Impact Force Based Model for Bearing Fault Identification,” ASME Journal of Vibration and Acoustics, 137, pp. 051002-1-13.
Khanam, S., Tandon, N., and Dutt, J. K., 2016, “Multi-Event Excitation Force Model for Inner Race Defect in a Rolling Element Bearing,” ASME Journal of Tribology, 138, pp. 01106-1-15.
Khanam, S., Tandon, N., and Dutt, J. K., 2012, “Fault Identification of Rolling Element Bearings from Vibration Signals: An Application of Kalman and H∞ Filters,” Proceedings of 10th International Conference on Vibrations in Rotating Machinery (VIRM10), IMechE, London, September 11-13, pp.703-713.
Khanam, S., Tandon, N., and Dutt, J. K., 2014, “Force Analysis due to Local Defect in Rolling Bearings for Fault Diagnosis,” Mechanisms and Machine Science, 21, Proceedings of the 9th IFToMM International Conference on Rotor Dynamics, Italy, pp. 577-586.