Early fault detection in automotive gearboxes has been subject under extensive
analysis as to figure out the condition of the gears inside the gearbox based on the
vibration analysis measured from the test rig. Vibration analysis has been the
diving way to check the condition for not only the gears but for all industrial
machines. So by measuring the vibration signal of gearbox we can highlight the
type and severity of fault of gear inside gearbox. But the generated vibration signal
is a complex signal that can be difficult to inspect fault in signal so the time
domain and frequency domain solve this difficulty. However in this modern time
we use the classifications techniques as they proved to be the fastest way to
indicate fault in any machine easily. This paper will attempt to use classifications
techniques to indicate whether the gearbox has fault inside from vibration signals
and compare the accuracy between the classifications techniques in determining
the results.