Transient operation of machinery can greatly complicate the task of vibration-based online condition monitoring. Because the operating mode of a machine affects the physical response and hence the diagnostic parameters, real-time information regarding the operating mode is likely to improve the performance of an online fault detection system. This paper proposes a method for automated duty cycle classification to augment the performance of vibration-based online condition monitoring systems for applications such as gearboxes, motors, and their constituent components. Experimental work is carried out on the swing machinery of an electromechanical excavator, which demonstrates how such a method might function on actual dynamic signals gathered from an operating machine. Several variations of the system are tested.
- Design Engineering Division and Computers and Information in Engineering Division
Automated Duty Cycle Classification for Online Monitoring Systems
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Timusk, MA, Lipsett, MG, & Mechefske, CK. "Automated Duty Cycle Classification for Online Monitoring Systems." Proceedings of the ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 1: 21st Biennial Conference on Mechanical Vibration and Noise, Parts A, B, and C. Las Vegas, Nevada, USA. September 4–7, 2007. pp. 563-573. ASME. https://doi.org/10.1115/DETC2007-34666
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