International Journal of Engineering Research
  • Year: 2015
  • Volume: 4
  • Issue: 8

Preventive maintenance by vibratory analysis: case study

  • Author:
  • Amal Boukili, Mohammed El Hammoumi
  • Total Page Count: 6
  • Page Number: 450 to 455

Laboratoire Techniques Industrielles, Faculty of Science and Technology, Road Imouzzer B.P. 2202 Fez, Morocco, University of Sidi Mohamed Ben Abdellah

*Amal-boukili@usmba.ac.ma

**M_elhammoumi@yahoo.fr

Online published on 8 November, 2017.

Abstract

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 became 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. However, an optimization of the maintenance is realized by a continued monitoring of degradation, by way-of a control system on line “On Line”, which can respond to-industrial imperatives and which provides to define just the-necessary at the level of interventions, “The machine can't be serviced except if only its state requires.”For an effective-maintenance, it takes precise and reliable measures. Nevertheless, the experience has shown that the vibratory measure is the most reliable parameter that gives the precociously and with a best ways the deterioration state of a turnable machine. It provides to identify the efforts as soon as they appear, before of an irreversible damage, it also provides, after analysis, to deduce the origin and to estimate the breakdown risks. In this context, a study had done insidea workshop of a phosphoric office, which adopt a continued surveillance (On-Line), in the hope of doing an optimal process of a conditional maintenance which can be developed in time toward an idealized by a vibratory indicator accomplishing satisfactory results.

Keywords

Conditional maintenance, Predictive maintenance, A vibratory analysis, Spectral analysis, Vibration of rotors