Computation of Decision Making on Emergency Landing Due to Loss of Engine



Chen, Chiu Lok (2020) Computation of Decision Making on Emergency Landing Due to Loss of Engine. Final Year Project (Bachelor), Tunku Abdul Rahman University College.

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Loss of engine is a main factor contributing to most of the emergency landing cases of aircraft. Regardless on how well the aircraft engine is being modified, accidents do happen. Bird strike, weather effects, component failure, fuel depletion, are some of the reasons of engine failure. During the emergencies, time is gold and pilot has to make numerous important decisions at the beginning of the stage to increase the chance of surviving. It is a fact that the pilot has gone through extensive training to perform under heavy stress. However, due to the varying environmental conditions, the pilot might not have sufficient time to discuss or analyse the condition with his/her colleagues. In a nutshell, inaccurate or risky decisions might be accidentally chosen. Noticing the issue, an algorithm is proposed to assist the pilot in making decisions during engine loss. The multi criteria decision making algorithm, is designed to analyse the initial condition of the emergency, propose logical, practical alternatives, rank the alternatives based on the risk their pose and suggest to the pilot. With the aid of the algorithm, the pilot will be able to catch up the situation in seconds and make required decisions within minutes. Prevention is always better than cure, a correct decision made at the initial stage of an engine loss emergency will lower down the consecutive problem faced at the later stage of the flight. Based on Testing Sample 1 used, it shows that PROMETHEE II and MAUT are able to rank the four possible landing spots, Langkawi, Sultan Abdul Halim, Hat Yai and Krabi according to their probability of success respective to 5 alternative risks, reachability, weather, wind, initial heading adjustment and final heading adjustment. Besides that, it is also observed that PROMETHEE II is more sensitive to criterion weight changes than MAUT.

Item Type: Final Year Project
Subjects: Technology > Mechanical engineering and machinery
Faculties: Faculty of Engineering and Technology > Bachelor of Mechanical Engineering with Honours
Depositing User: Library Staff
Date Deposited: 05 Jun 2020 07:29
Last Modified: 19 Oct 2020 09:14