الفهرس 
Objective of ResearchOnly 14 pages are availabe for public view
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Abstract
Early fault detection using vibration monitoring technique helps to avoid sudden stoppage of machinery, thus reducing maintenance costs and machine downtime. Vibration signals carry much information related to the running conditions of the machine on the basis of using regular vibration measurement and analysis, which is used as an indicator of machine health monitoring trends for maintenance needs. Vibration monitoring is aimed at improving the efficiency of the machine if being
done properly. It is an invaluable tool for good maintenance and provides a useful base for faults evaluation. Faults can take place at any time due to several causes related to design, manufacturing, operation, and installation errors or fluctuating
operation speed or speed close to critical speed or running after incorrect maintenance. Also, modification in structure components could change the vibration signature due to the change in its dynamic characteristics. The required degree of fault prevention depends strongly on the complexity of the system and application. The present study focuses on the modeling of rotating system vibration problem that occurs due to misalignment and the number of the rotating component, so that the pre-understanding of the whole system is recommended. For machine health monitoring using vibration monitoring technique and measuring misalignment using SKF Micro log Analyzer GX, SKF TKSA 60 Alignment tools, and FEM using Ansys program, comparing results used for continuous monitoring to avoid any severe fault developing that could take place before next time scheduled that works to increase machine availability as well. Theoretical and experimental works prove that vibration monitoring can detect fault early. Great correlating between F.E analysis and
experimental measurements from 95% to 99%. Misalignment was solved by placing
shims under the bearings where vibration level was decreased greatly. This work, however was carried out with objective of early fault detection by vibration monitoring. Furthermore, investigation the misalignment fault using Vibration technique experimentally, and theoretically and compared between them.
In Chapter Ӏ, a brief description for the importance of early fault detection and diagnosis, types of maintenance considering the importance of alignment.
In Chapter Π, literatures review of previous researches on, early faults detection by vibration monitoring. Vibration measurement, fault diagnosis and types maintenance. All of techniques that used on vibration analysis then the comparison between them. The vibration spectra of alignment are not well documented. In Chapter Ш, in this chapter the model was manufacturing in engineering design workshop. Theoretical measurement is briefly summarized. The Identification of the dynamic characteristics of the model by FEM using ANSYS program. In Chapter , the experimental work is performed in laboratory. Damage detection by using spectrum method. and the alignment device is used to measure misalignment of model. In Chapter , it includes the results obtained, and the comparison between theoretical work and experimental work. As the misalignment changed in the dynamic characteristics of the rotating machine, theoretical and experimental work proved this.
This work discloses a problem which should be considered by maintencerman,
designers, and producer.