Journal Information
Research Areas
Publication Ethics and Malpractice Statement
To Scholarlink Resource Center
Guidelines for Authors
For Authors
Instructions to Authors
Copyright forms
Submit Manuscript
Call for papers
Guidelines for Reviewers
For Reviewers
Review Forms
Contacts and Support
Support and Contact
List of Issues
Indexing

 

Journal of Emerging Trends in Engineering and Applied Sciences (JETEAS)

ISSN:2141-7016

Article Title: Optimizing Gas Turbine Rotor Shaft Fault Detection, Identification and Analysis for Effective Condition Monitoring
by Ezenwa A. Ogbonnaya and Kombo Theophilus-Johnson

Abstract:
Vibration analysis of rotating machinery can give warning of potential faults such as imbalance, bent shaft, shaft crack, misalignment, looseness and other malfunctions. This work considered the origin, causes and the effect of vibrations in rotor shaft and how they can be optimized to avert catastrophic downtime. The approach used in the research was vibration signature analysis. Data were taken from a gas turbine called GT18, GE Frame 9 on industrial duty for electricity generation in Ughelli Power station Delta State, Nigeria. The data collected after collation was used in a MATLAB computer program. The result shows that the engine should not be operated beyond 4.8 mm vibration displacement amplitude. A speed of 7860 rpm should also be avoided in order to prevent resonance. Furthermore, it enabled early detection of the various effects of vibration signature such as imbalance, misalignment, and crack that may lead to downtime.
Keywords: rotor shaft, resonance, vibration signature, shaft defects, fault identification, and downtime
Download full paper

ISSN: 2141-7016

Editor in Chief.

Prof. Gui Yun Tian
Professor of Sensor Technologies
School of Electrical, Electronic and Computer Engineering
University of Newcastle
United Kingdom

 

 

Copyright © Journal of Emerging Trends in Engineering and Applied Sciences 2010