Abstract
The early detection, identification and correction of machinery problems are paramount to anyone involved in the maintenance of industrial machinery to insure continued, safe and productive operation and to avoid any financial disaster, or personal injury and possible loss of life. Since the vibration analysis can help predict component failure, those parts identified as defective can be scheduled for repair or replacement during planned equipment shutdowns, rather than during costly emergency downtime due to equipment failure. This study presents the use of the machinery vibration as a tool for predicative maintenance program of the rotating machineries. The introduction to the predictive maintenance using vibration analysis in the literature is presented. Causes of vibration and techniques of vibration analysis are illustrated. Construction of the predicative maintenance program via vibration analysis is presented and a computer program named Vibrogram was built up using Visual Basic Language. The Vibrogram is implemented on three rotating machines as case studies at Al- Waha Oil Field, Libya. It was found that the vibration monitoring is a vital component of any good predictive maintenance program for any plant machinery.
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© 2015 Springer International Publishing Switzerland
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Saied, R.O., Mostafa, M.S., Hussein, H.A. (2015). Predictive Maintenance Program Based on Vibration Monitoring. In: Chouchane, M., Fakhfakh, T., Daly, H., Aifaoui, N., Chaari, F. (eds) Design and Modeling of Mechanical Systems - II. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-17527-0_65
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DOI: https://doi.org/10.1007/978-3-319-17527-0_65
Publisher Name: Springer, Cham
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