Gas turbine hot sections condition monitoring based on operational thermal dataset

Abstract

This paper aimed to monitor the exhaust gas temperature (EGT) from the end of the low-pressure turbine (LPT) of a gas turbine for period of 6 months. To achieve this, 16 thermocouples were strategically placed to gather data at different points in the exhaust system. This comprehensive approach allowed for a detailed analysis of the exhaust gas temperature, which is a critical factor in the health of hot section of gas turbines. The results of this study provide valuable insights that can be used to optimize the periodic inspections of gas turbines and improve their decisions.The investigation of thermal fluctuations that can cause damage to hot components has been carried out using two statistical methods - Standard deviation and Skewness. By analyzing the standard deviation, the degree to which the temperature values vary from the mean and relative normal condition of each unit can be determined. Skewness helps to identify whether the temperature data is skewed towards the high or low values, indicating the presence of potential anomalies. The application of these statistical methods is aimed at understanding the impact of temperature fluctuations on hot components and developing maintenance strategies to mitigate their effects.In order to verify the accuracy of the statistical results, a thorough borescope inspection of the gas turbine is carried out in accordance with the maintenance manual. These inspections were conducted at three distinct intervals to ensure a comprehensive evaluation of the gas turbine condition performance and condition. The results of this inspection serve as a critical component in determining the optimal maintenance and repair plan for the gas turbine.

Keywords

• Gas turbine
• Failure
• Standard deviation
• Skewness
• Fluctuation
• Statistical analysis