Enhanced IAS signal processing for servo motor built-in encoders and its application in gear fault diagnosis

doi:10.16731/j.cnki.1671-3133.2025.09.019

Abstract

Abstract: The built-in rotary encoder is pivotal for motor positioning and speed feedback,providing Instantaneous Angular Speed (IAS) signals that reflect the torsional vibration of the transmission system,thereby revealing mechanical faults and enabling the development of self-aware and self-diagnostic servo control systems. To address the challenge of extracting fault characteristics accurately from IAS signals of low-precision encoders using conventional signal processing methods,an IAS signal enhancement method was proposed. It commenced with acquiring the servo motor′s instantaneous angular position signals via an EtherCAT bus servo drive system,the IAS signals were subsequently obtained using timestamp extraction and local polynomial fitting differentiation techniques. Finally the acquired IAS signals were processed by the angular domain synchronized averaging technique. Validation through simulations and gear fault experiments confirmed the method′s efficacy,highlighting its potential in cost-effective health monitoring for drive systems.

Key words: servo motor, built-in encoder, fault diagnosis, signal enhancement, Instantaneous Angular Speed (IAS)

CLC Number:

TB123

XU Xiaoqiang, SONG Pi, HE Zhiyi, HU Hongwei. Enhanced IAS signal processing for servo motor built-in encoders and its application in gear fault diagnosis[J]. Modern Manufacturing Engineering, 2025, 540(9): 146-156.

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