Fault Detection of Double Stage Helical Gearbox using Vibration Analysis Techniques

Fault detection in gearbox from vibration data is difficult task and is important to detect fault while they are still developing. The aim of this paper is to improve reliability, safety & productivity of gearbox using different non-destructive inspection methodologies and processing acquired waveforms with advance signal processing techniques. For detecting different types of gear fault an experimental data is taken from double stage helical gearbox set-up with help of FFT analyzer. MATLAB is utilized for identifying the advancement of gear defect taking into account time-frequency analysis. Fault manifesting in impulse like vibration signals are focused on, which include faults such as missing of tooth, crack at gear, removal of tooth etc. By comparing signal of faulty condition with healthy condition through FFT analyzer, we can easily predict behavior of fault. For validation we are using MATLAB program which gives us statistical parameter in time & frequency domain analysis. The genuine position in angle of revolution for one tooth missing in gearbox is likewise discovering by MATLAB program.