Gear fault detection and diagnosis based on bi-spectrum analysis

The damaged gearbox is often related to non-linear effects that may lead to non-linearity in the machine vibration signal. This paper introduces the application of modern signal processing technique based on higher order spectrum to the fault detection and diagnosis of gearbox. The bi-spectrum can effectively eliminate the effect of random noise and extract useful features from the noisy mechanical vibration signals. An application of bi-spectrum technique to fault diagnosis of gear wear is presented. The experimental results show that the bi-spectrum analysis technique can effectively extract the transients from strong noise signals and diagnose the fault of gear.