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Title: Predictive maintenance system for aircraft engine using AI
Authors: Wang, Terence You Gui
Keywords: Engineering::Aeronautical engineering::Aircraft motors and engines
Engineering::Electrical and electronic engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Wang, T. Y. G. (2022). Predictive maintenance system for aircraft engine using AI. Final Year Project (FYP), Nanyang Technological University, Singapore.
Project: B3208-211
Abstract: This paper is the final report on Predictive Maintenance System for Aircraft Engine using Artificial Intelligence (AI). The purpose of this report is to document, research, record, guide and write the AI algorithm prediction of when an aircraft system requires maintenance. It consists of the methodology of recording down temperature, pressure, altitude, and acceleration of an aircraft. After which the AI will predict and inform engineers of any anomalies that will happen. Furthermore, it is to reduce the manpower required for daily routine maintenance and human error calculations. Thus, reducing accident rates of aircraft. This paper provides a brief introductory, research, and hypothesis for such work and gives a summary of the domain of AI using Jupyter Python, Keras, Tensorflow, TeraTerm, STM32L4 Discovery kit, and STM32CUBE.AI. It consists of the introduction, and configurations of parameters to STMicroelectronics. It also consists of the usage, building of models, training, and testing using Keras and Tensorflow, steps of achieving the readings, results obtained, conclusion, future exploration, and discussions.
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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