
SISTEM DETEKSI KERUSAKAN BEARING RODA PADA MOBIL MENGGUNAKAN SENSOR PIEZOELECTRIK BERBASIS ANDROID
Author(s) -
M Cecep Zaelani
Publication year - 2019
Publication title -
komputasi
Language(s) - English
Resource type - Journals
eISSN - 2654-3990
pISSN - 1693-7554
DOI - 10.33751/komputasi.v16i2.1624
Subject(s) - bearing (navigation) , android (operating system) , piezoelectric sensor , computer science , acoustics , android application , structural engineering , automotive engineering , piezoelectricity , engineering , embedded system , operating system , artificial intelligence , physics
Bearing damage to the car's wheels has prompted several studies to create a system capable of detecting damage to the wheel bearings. To overcome this problem, a wheel bearing damage detection system has been built and tested using a piezoelectric sensor. The results showed that piezoelectric sensors detect bearing damage to the wheels based on their frequency, which is 0 - 5 Hz is good, 6-30 Hz is not good, and 31 - 355 Hz is badly damaged. Data can be displayed in realtime via Android. The results of this study can be used at dealers or car repair centers.