Statistical Correlation of Optimized Gas Turbine Fault Analysis

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Author(s) Ezenwa A. Ogbonnaya
Pages 163-173
Volume 2
Issue 2
Date February, 2012
Keywords Computer simulation, Statistical correlation, Gas turbine, Fault analysis, Vibration amplitude, Boost pressure.
Abstract

Performance monitoring constitutes a key practice to ensure plant profitability, with considerable cost savings related to maintaining maximum fuel efficiency and availability. As shown in this article, gas turbine performance is strongly affected by “natural” parameters such as ambient environmental and load conditions. As such, only systems that use detailed thermodynamic models of the gas turbine and its components are capable of correctly separating these “natural” effects from actual equipment degradation. Since the performance of the gas turbines suffer greatly from the inefficiency of turbines and compressors due to insufficient boost pressure at successive stages of the compressor blade, it can lead to flow reversal at the later stage and then result in vibration which is detrimental to engine operating conditions. A step to correlate between boost pressure and vibration velocity amplitude at design stages led to the execution of this research. Also, a computer simulation technique is used to actualize this purpose with the operational data obtained from Delta IV unit of Ughelli power station GT 18 using VC++ programming language. Other results obtained show a linear relationship between the data using statistical z- test and data were accepted.The most striking result is that they should not be run above 9.5 boost pressure ratio which corresponds to 2.05mm/s vibration velocity amplitude to avoid catastrophic breakdown.

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