Authors : Amal Boukili, Mohammed El Hammoumi, Bachir El Kihel and Said Haouache
Abstract: Maintenance has become a real source of productivity for businesses. The majority of the industrial machine components have to satisfy to the requirements of the high quality and incessantly increasing so, the machines maintaining in good state during the production has become a fundamental point for a product or a company success. Through, the measure of the predictive maintenance, it is possible to satisfy these complex requirements with success and to reduce the costs of maintenance. There are numerous techniques required to be used in a maintenance plan and given that the mechanical systems and machines constitute the majority of industrial equipment, the vibration control generally constitutes the key element of predictive maintenance programmers. The present study consists in a first step, to provide a precise description of the characteristics of vibration, of vibration sensors, advantages and limitations of each family of indicators: scalars, spectral, vectors, temporal as well as vibration monitoring strategy. Then to make a vibration analysis of vibration signals from a set of organs of the vibratory bench to studies in the technological platform industrial engineering of ENSAO in order to detect the presence of defects by presenting and interpreting, if possible, the measurement results obtained.
Amal Boukili, Mohammed El Hammoumi, Bachir El Kihel and Said Haouache, 2016. Analysis and Diagnosis of Different Defects by Vibratory Analysis on Test Bench. Journal of Engineering and Applied Sciences, 11: 2094-2104.