Markus Timusk

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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