Open AccessSpur Gear Failure Detection using Support Vector Machine
Author(s) -
Richard Siregar,
Ikhwansyah Isranuri,
Suherman Suherman
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1003/1/012143
Subject(s) - spur gear , vibration , spur , support vector machine , computer science , torsional vibration , structural engineering , engineering , artificial intelligence , acoustics , physics
Torsional vibration generated by the spur gear as result the imperfection may generate geometrical error that can lead to spur failure. In order to prevent error propagation, preventive maintenance by detecting and analyzing vibration should be performed. Existing work has been dealt with torsional vibration detection either using tools and/or employing intelligent system. This paper proposed evaluation prototype with support vector machine to differentiate normal and broken spur gears. The assessment results show that gear states were easily determined by using some features. The accuracy achieves 100% in several trials with average accuracy 99.35%.