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Markus Timusk

Markus Timusk

Full Professor

Bharti School of Engineering
Science, Engineering and Architecture
F-215C, Science Building Sudbury Campus

Biography


Education

  • PhD Queen's University, Mechanical Engineering
  • MESc. Western University, Engineering Science
  • BESc. Western University, Mechanical and Materials Engineering

Academic Appointments

Past administrative positions:

Director of Bharti School of Engineering 

Co-op Program Coordintator

Mechanical Engineering Program Coordinator

Research

  • Machine Condition Monitoring
  • Machinery Fault Detection 
  • Industrial Maintenance
  • Mobile Mining Equipment
  • Solid Mechanics
  • Machine Design
  • Vibration, Acoustic Emissions, Instrumentation

Awards

  • Teaching

    ENGR 4595 Mechanical Engineering Capstone

    ENGR 1017 Computer Aided Design 

    ENGR 2587 Strength of Materials II

    ENGR 1006 Engineering Communications

    ENGR 3517 Machine Design

    ENGR 5XXX Advanced Machinery Diagnostics

    ENGR 4126 Engineering Seminar

    Publications

    Selected Recent Publications.

    JOURNAL PUBLICATIONS 

    Helm,Dustin & Timusk, Markus, (2020),The Detection of Rolling-Element Bearing Faults in Non-stationary Quasi-Parallel Machinery Using Residual Analysis Augmented by Neural Networks International Journal of Predictive Maintenance.  (Submitted)

    Helm, Dustin & Timusk, Markus. (2019). Fault detection for parallel operating machines. Journal of Quality in Maintenance Engineering. ahead-of-print. 10.1108/JQME-10-2018-0087. 

    C. K. Mechefske, D Rapos, and M Timusk, "Gear fault detection using dynamic transmission variance", Journal of Quality in Maintenance Engineering, Vol. 24 Issue: 1, pp.101-118, 2018,  https://doi.org/10.1108/JQME-01-2016-0003

    W. Yu, C. K. Mechefske, and M. Timusk, “A new dynamic model of a cylindrical gear pair with localized spalling defects,” Nonlinear Dynamics., pp. 1-19, Dec. 2017. Doi: https://doi.org/10.1007/s11071-017-4003-2

    W. Yu, C. K. Mechefske, and M. Timusk, “The dynamic coupling behavior of a cylindrical geared rotor system subjected to gear eccentricities,” Mech. Mach. Theory, vol. 107, pp. 105-122, Jan. 2017. Doi: http://dx.doi.org/10.1016/j.mechmachtheory.2016.09.017

    W. Yu, C.K. Mechefske & M. Timusk, Effects of tooth plastic inclination deformation due to spatial cracks on the dynamic features of a gear system, Nonlinear Dynamics 87 (2017) 2643 – 2659, 2017. Doi: http://dx.doi.org/10.1007/s11071-016-3218-y

    W. Yu, C. K. Mechefske, and M. Timusk, “Influence of the addendum modification on spur gear back-side mesh stiffness and dynamics,” Journal of Sound and Vibration., vol. 389, pp. 183–201, 2017.  Doi: http://dx.doi.org/10.1016/j.jsv.2016.11.030

    S Mahdi Mousavi S, Mollaeian A, Narayan C Kar, Timusk M (2017) A Novel Parallel Modelling-Wavelet Based Mechanical Fault Detection Using Stator Current Signature of Induction Machine under Variable Load Conditions. J Electr Eng Electron Technol 6:2. doi: http://10.4172/2325-9833.1000143

    Helm, D., Rose, A. and Timusk, M., Condition monitoring of rolling-element bearings in parallel operating belt drive systems., International Journal of COMADEM, Special Issue on Improving Reliability of Industrial Processes through Innovative Technologies, Volume 19, Number 3, July 2016

    Rose, A., Helm, D., and Timusk, M., Condition monitoring of rolling-element bearings in parallel operating belt drive systems., International Journal of COMADEM, Special Issue on Improving Reliability of Industrial Processes through Innovative Technologies, Volume 19, Number 3, July 2016

    Gustafson, A and Schunnesson, H and Timusk, M and Hauta, R. (2016). Productivity of rock reinforcement: methodology development. The Journal of the South African Institute of Mining and Metallurgy. 116(3): 1129--1134.

    McBain, J. & Timusk, M., “Cross Correlation for Condition Monitoring of Variable Load and Speed Gearboxes,” Journal of Industrial Mathematics, vol. 2014, Article ID 543056, 10 pages, 2014. doi:10.1155/2014/543056


    McBain, J., Lakanen, G and Timusk, M (2013) "Vibration‐ and acoustic‐emissions based novelty detection of fretted bearings",Journal of Quality in Maintenance Engineering, Vol. 19 Issue: 2, pp.181-198, https://doi.org/10.1108/13552511311315977 

    McBain, J and Timusk, M. (2012). System identification for fault detection in variable speed and load machinery. International Journal of Condition Monitoring. 2(2): 32--39.

    McBain, J. & Timusk, M., Feature Extraction For Novelty Detection as Applied to Fault Detection in Machinery, Pattern Recognition Letters, 32(7),  2011, pp. 1054-1061

    Timusk MA, Lipsett MG, McBain J, Mechefske CK. Automated Operating Mode Classification for Online Monitoring Systems. ASME. J. Vib. Acoust. 2009;131(4):041003-041003-10. doi:10.1115/1.3142871.

    McBain, J. & Timusk, M., Fault detection in variable speed machinery: Statistical parameterization, Journal of Sound and Vibration, Volume 327, Issues 3-5, November 2009, pp. 623-646.

    Timusk, M., Lipsett, M., Mechefske, C., Fault Detection Using Transient Machine Signals, Mechanical Signals and Signal Processing. 2008, Vol. 22, p1724-1749

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