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Email: ehalim@ualberta.ca

Webpage: http://www.ualberta.ca/~ehalim/

Location of work: Chemical and Materials Engineering Building (Room 266B) - University of Alberta

Personal Details: I completed my B.Sc. in Chemical Engineering from Bangladesh University of Engineering and Technology (2003) holding the top score in the class. Currently I am enrolled in the PhD program in Process Control at the University of Alberta. I am a diehard fan of PC real time strategy (RTS) and role playing (RPG) games and I spend most of my time playing massive multiplayer online role playing game (MMORPG). My list of favorite includes hits like Warcraft III, Starcraft, Age of Empire II, Sims, Unreal Tournament and more. I also spend a lot of time watching the latest action movies and keeping myself updated on the latest releases.

Research: Failure of a rotating machine in a process industry may lead to catastrophic incident such as personnel and financial losses. Therefore, there is a need for continuously evaluating the condition of a monitored machine without interruption of its operation, and thereby successfully identifying faults long before catastrophic breakdowns occur. Such an approach towards monitoring and preventive fault detection and maintenance can provide for properly planned service schedules and the replacement of the failing components at the most appropriate time.

Based on this view, my research interest mainly focuses on
• Detection and diagnosis of faults in rotating machineries using signal processing tools.
• Quantifying the extent of a fault via metrics or measures.
• Investigation of machine prognostics and its impact on maintenance scheduling.
• Applications of proposed techniques to industrial data sets.

The proposed techniques for fault detection and diagnosis include
• Time-Frequency Domain Averaging to detect gear tooth defect and turbine blade damage.
• Time Synchronous Bicoherence Analysis to detect and quantify abnormalities in rotating machineries.
• Discrete Wavelet Transform to detect and quantify rub in bearings.

My research work has been presented at
• Halim, E. B., S. L. Shah, M. J. Zuo and M. A. A. S. Choudhury (2006). Fault detection of gearbox from vibration signals using time-frequency domain averaging. presented in 2006 American Control Conference, June, 2006.
• Halim, E. B., M. A. A. S. Choudhury, S. L. Shah and M. J. Zuo (2006). Fault detection of rotating machinery from bicoherence analysis of vibration data. presented in 6th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, August, 2006.
• Halim, E. B., S. L. Shah, M. J. Zuo and M. A. A. S. Choudhury (2006). Detection of rub in rotating machineries by wavelet analysis of vibration data. presented in 45th IEEE Conference on Decision and Control, December, 2006.