19 June 2017 Fault prevention by early stage symptoms detection for automatic vehicle transmission using pattern recognition and curve fitting
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Proceedings Volume 10443, Second International Workshop on Pattern Recognition; 104430B (2017) https://doi.org/10.1117/12.2280824
Event: Second International Workshop on Pattern Recognition, 2017, Singapore, Singapore
Abstract
Automobiles have become essential parts of our everyday lives. It can correlate many factors that may affect a vehicle primarily those which may inconvenient or in some cases harm lives or properties. Thus, focusing on detecting an automatic transmission vehicle engine, body and other parts that cause vibration and sound may help prevent car problems using MATLAB. By using sound, vibration, and temperature sensors to detect the defects of the car and with the help of the transmitter and receiver to gather data wirelessly, it is easy to install on to the vehicle. A technique utilized from Toyota Balintawak Philippines that every car is treated as panels(a, b, c, d, and e) 'a' being from the hood until the front wheel of the car and 'e' the rear shield to the back of the car, this was applied on how to properly place the sensors so that precise data could be gathered. Data gathered would be compared to the normal graph taken from the normal status or performance of a vehicle, data that would surpass 50% of the normal graph would be considered that a problem has occurred. The system is designed to prevent car accidents by determining the current status or performance of the vehicle, also keeping people away from harm.
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Jessie R. Balbin, Febus Reidj G. Cruz, Jon Ervin A. Abu, Carlo G. Siño, Paolo E. Ubaldo, Christelle Jianne T. Zulueta, "Fault prevention by early stage symptoms detection for automatic vehicle transmission using pattern recognition and curve fitting", Proc. SPIE 10443, Second International Workshop on Pattern Recognition, 104430B (19 June 2017); doi: 10.1117/12.2280824; https://doi.org/10.1117/12.2280824
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