Monitoring of Belt-Drive Defects Using the Vibration Signals and Simulation Models
The main aim of this paper is to dedicate the belt drive system faults like cogs missing, misalignment and belt worm using vibration analysis technique. Experimentally, the belt drive test-rig is equipped to measure vibrations signals under different operating conditions. Finite element 3D model of belt drive system is created and vibration response analyzed using commercial finite element software ABAQUS/CAE. Root mean square (RMS) and Crest Factor will serve as indicators of average amplitude of envelope analysis signals. The vibration signals pattern obtained from the simulation model and experimental data have the same characteristics. It can be concluded that each case of the RMS is more effective in detecting the defect for acceleration response. While Crest Factor parameter has a response with the displacement and velocity of vibration signals. Also it can be noticed that the model has difficulty in completing the solution when the misalignment angle is higher than 1 degree.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.2702680Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 177
 Tandon, N., and A. Choudhury. "A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings." Tribology International Vol.32.8, p.p. 469-480, 1999.
 Dimitris C. Tsantiotis, Theodore N. Costopoulos, and Ioannis S. Zotos, “Maintenance of Mechanical Drivers and Fault Diagnosis of Machine Elements”, 2nd International Conference “From Scientific Computing to Computational Engineering”, 2nd IC-SCCE Athens, pp. 5-8, 2006.
 Gregor Cepon, Lionel Manin, MihaBoltezara, “Introduction of damping into the flexible multi- body belt-drive model: A numerical and experimental investigation “, Journal of Sound and Vibration 324, pp.283–296, 2009.
 Ojha S., Sarangi D., Pal B.K., Biswal B.B.,” Performance Monitoring of Vibration in Belt Conveyor System”, Journal of Engineering Research and Applications, Vol. 4, Issue 7, pp.22-31, 2014.
 Al Bulushi Abdulrahman Abdulshakoor, M. Lokesha G.R. Rameshkumar,”Fault Diagnosis in Belts using Time and Frequency based Signal Processing Techniques” International Journal of Recent advances in Mechanical Engineering, Vol.6, No.11, pp.11-20, 2015.
 Ali Raad Hassan, Khalid Mohsen Ali, “Dignosis of Pulley-Belt System Faults Using Vibration Analysis Technique”, Journal of University of Babylon, Engineering Sciences, Vol.(26), No.(2), pp.167-180, 2018.
 Nabhan A., Nouby M., Samy A. M., Mousa, M.O.," Vibration analysis of deep groove ball bearing with outer race defect using ABAQUS “Journal of Low Frequency Noise, Vibration and Active Control, Vol. 35(4). pp. 312-325, 2016.
 Nabhan A., Nouby M., Samy A. M., Mousa, M.O.," Multiple Defects Detection in Outer Race of Gearbox Ball Bearing Using Time Domain Statistical Parameters” International Journal of Vehicle Structures & Systems, Vol. 8(3). pp. 167-174, 2016.
 Djajadi Arko, Arsi Azavi, Rusyadi Rusman, Sinaga Erikson, “Monitoring Vibration of A Model of Rotating Machine”, Journal of Mechatronics, Electrical Power, and Vehicular Technology, Vol. 2, No 1, pp. 51-56, 2011.
 Kumar B. Kiran, G. Diwakar, Satynarayana Dr. M. R. S. ,” Determination of Unbalance in Rotating Machine Using Vibration Signature Analysis”, International Journal of Modern Engineering Research, Vol.2, Issue.5, pp-3415-3421, 2012.