Development and Application of Turbine Engine Health Diagnosis Model

  • 蔡 岳辰

Student thesis: Master's Thesis

Abstract

In general engine wear is inevitable even though it gets worse in engine performance over time There are several mechanisms caused the degradation and potential failures of gas turbine engine such as accumulation of dirt oxidation foreign object damage worn bearings or seals excessive blade end clearance burning or warped turbine blades or blades blocked fuel nozzles cracked and warped burners or cracked rotor disks and blades In the past the Gas-path Analysis Method based on mathematical models has been the main method for traditional monitoring engine health and fault diagnosis However the existing monitoring and diagnostic software cannot be effectively used in daily maintenance due to various limitations of engine performance parameters and modeling methods Consequently this study used data driven method through engine's actual flight or ground data to reverse modeling of the engine health state and to improve the diagnosis technology and to confirm that the algorithm model provides a quicker and more effective solution The data used for model training and testing were NASA's public 90 000-pound thrust commercial engine data set and a diagnostic system with health classification capabilities was developed Eventually this methodology is expected to promote and apply to other turbo machines
Date of Award2018 Sep 7
Original languageEnglish
SupervisorYueh-Heng Li (Supervisor)

Cite this

Development and Application of Turbine Engine Health Diagnosis Model
岳辰, 蔡. (Author). 2018 Sep 7

Student thesis: Master's Thesis