Gear fault diagnosis method based on Volterra kernel identification

For gear fault classification problem, most of fault diagnosis methods only use the sensor output signal to diagnose. For this reason, they can not reflect the system as a whole transmission characteristic and so inevitably there are limitations. a fault diagnosis method based on Volterra kernel, which uses input and output signal in gear system, is presented. The method uses the first order, second order and third order time domain kernel, which is solved by recursive least squares algorithm, to determine the current fault status of the gear. The experimental results show that the method can judge accurately the gear fault from the characteristics of time domain kernel.