Intelligent Based Aircraft Engine Health Monitoring: Improving Aircraft Engine Maintenance Effectiveness and Reliability - Softcover

Demirci, Şeref; Hajiyev, Chingiz

Softcover

ISBN 10: 3845419652 ISBN 13: 9783845419657

Publisher: LAP LAMBERT Academic Publishing, 2011

Synopsis

Engine Health monitoring (EHM) has been very popular subject to increase aircraft availability with the minimum maintenance cost. The study is aimed at providing a method to monitor the aircraft engine health during the flight with the aim of providing an opportunity for early fault detection to improve airline maintenance effectiveness and reliability. Since the impending engine failures may cause to change the engine parameters such as Fuel Flow (FF), Exhaust Gas Temperature (EGT), engine fan speed (N1), engine compressor speed (N2), etc., engine deteriorations or faults may be identified before they occur by monitoring them. So as to monitor engine health in flight, the automation of current work for EHM done manually by airlines is developed by using fuzzy logic (FL) and neural network (NN) models. FL is selected to develop automated EHM system (AEHMS), since it is very useful method for automation health monitoring. The fuzzy rule inference system for different engine faults is based on the expert knowledge and real life data in Turkish Airlines fleet. The complete loop of EHM is automatically performed by the visual basic programs and Fuzzy Logic Toolbox in MATLAB.

About this title

About the Author

Seref Demirci has a BSc, MSc and PhD degree inAeronautical Engineering at the Istanbul TechnicalUniversity. He had held positions in ReliabilityManager, Maintenance EngineeringManager in Turkish Airlines. In his lastposition, he is responsible for the management of providing engineering support to the THY fleet of about 200 aircraft.

Edition details

• Publisher: LAP LAMBERT Academic Publishing
• Publication date: 2011
• Language: English
• ISBN 10: 3845419652
• ISBN 13: 9783845419657
• Binding: Paperback
• Number of pages: 132