基于角度域同步平均和阶次分析的低速斜齿轮故障诊断

doi:10.13229/j.cnki.jdxbgxb201502018

Abstract

Abstract: 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.

Key words: mechanical fault diagnosis, helical gear rotating at low speed, angular domain synchronous average, order tracking analysis, pitting fault

CLC Number:

TH132.41

SONG Bao-yu,XIE Zhi-jie,ZHANG Feng,WANG Rui-ze,HAO Ming-hui,SU Dai-zhong. Fault diagnosis algorithm for helical gear rotating at low speed on angular domain synchronous average and order tracking analysis[J].吉林大学学报(工学版), 2015, 45(2): 454-459.

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

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