Development of decision fusion software system for turbine engine fault diagnostics

Tulha Hasan Al-Salah, Tennessee State University

Abstract

Due to the complexity and importance of turbine engines, the study of advanced fault diagnosis of turbine engines has been an active research topic for both theoretical and practical reasons. The purpose of development of a decision fusion software system for turbine engine fault diagnostics is to increase diagnostic reliability, accuracy, and coverage. It also decreases diagnostic false alarms, and supports expandability and adaptability to new information sources. In this thesis, a decision fusion software system was developed, presented and tested based on engine health parameters of the engine's key components using the fuzzy logic technique. The decision fusion software system was broken down into two subsystems namely, Decision Making Subsystem and Decision Fusion Subsystem. The goal of Decision Making Subsystem is to predict the health condition of the engine's components. While the objective of the Decision Fusion Subsystem is to predict the health condition of the whole engine based on the outputs from the decision making subsystem. The test results of the developed system are promising in providing reliable diagnostic for the engine health condition, substantially reducing the cost of maintenance and replacement of defective parts of a turbine engine. System developments, simulation results, system performance and testing of the decision fusion software will be presented in this thesis.^

Subject Area

Engineering, Computer|Engineering, System Science|Computer Science

Recommended Citation

Tulha Hasan Al-Salah, "Development of decision fusion software system for turbine engine fault diagnostics" (2011). ETD Collection for Tennessee State University. Paper AAI1502701.
http://digitalscholarship.tnstate.edu/dissertations/AAI1502701

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