International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume4,February 2017,

Topic : Embedded Solution for Aircraft Fault Detection and Passenger Safety System Using Wireless Technology

Authors:Jayendra Chavan || Ajit Shinde, Hrishikesh More, Ravindra Patil,Sachin Gurav

Abstract:The recent years were quite bad for aviation world due to serious aircraft crashes. Lots of human being lost their lives in plane crashes over last 3 years and this became very serious & sensitive issue in the world. So we are proposing the idea of detachment of passenger compartment on the detection of major problem in an aircraft which predicts the fatal crash of airplane. We are using some advanced sensors to detect the accidental occurrences of defects or faults in an aircraft. These sensors are selected according to most common problems of aircraft crashes. On detection of sensors data, the data is compared with threshold limits & if the data reaches beyond threshold it predicts the possible crash of plane and gives signal to the detachment control panel On the signal of sensors, the passenger compartment will get ejected from the fuselage and with help of parachutes or will land safely on ground without any fatal loss. We are using arduino platform with AVR ATmega328 microcontroller. It is 8 bit microcontroller with 32kb memory. This controller board comes with 14 digital I/O pins and out of these 14 pins fro 6 pins provide Pulse Width Modulation (PWM) output signal. This board also comes with 6 analog input pins. This board can be powered by USB as well as external dc jack with 5 to 12 v input supply..

Keywords: Aviation, detachment, predict, fatal, fuselage

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DOI: 01.1617/vol4/iss2/pid41238

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Dr.Zhongfu Tan
National Professor,
North China Electric Power University,

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ISSN(Online): 2394-6849

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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Journal Code : IJERECE
Electronic ISSN : 2394-6849
Impact Factor : 3.689
Frequency : monthly
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