Fault diagnosis algorithm for helical gear rotating at low speed on angular domain synchronous average and order tracking analysis

In order to accurately identify the early fault feature of helical gear, a new diagnosis algorithm is proposed based on the angular domain synchronous average and order tracking analysis. First, employing the concept of time domain synchronous average, an algorithm of angular domain synchronous average is put forward to reduce the noise interference. Using optical encoder as the external trigger, the vibration signals is angular domain are obtained by resampling the vibration signals of time domain according to the encoder pulse. By angular domain synchronous average processing, the irrelevant periodic signals and noise interference are reduced. Then, the fault features of helical gear rotating at low speed are extracted by the order tracking analysis. Experiment results of pitting fault diagnosis verify the effectiveness of the proposed algorithm.