Performance Diagnosis of the Drive Unit for High Speed Motorized Spindle Based on Hidden State Mapping Model

EasyChair Preprint 3692

Abstract

As the key component of the motorized spindle system, the performance of drive unit will directly affect the processing quality of CNC machine tools. This paper proposed a performance diagnosis method for the drive unit based on hidden state mapping model to prevent the motorized spindle from failure. The hidden state model was obtained by feature extraction of the parameter vectors identified from the dynamic responses to test input signals. The thresholds of performance degradation were determined by the hidden state to evaluate the performance of the drive unit in the motorized spindle system. A simulation case was carried out to verify the feasibility and effectiveness of the proposed model by taking IGBT degradation failure as an example. The results showed that the model parameters extracted from different degradation degrees of IGBT devices can be mapped to hidden state characteristics and used for performance evaluation of the drive unit. The proposed hidden state mapping model can be used in the framework of monitoring the safety and reliability of the drive unit, and lay the foundation for the prognostic and health management of the motorized spindle system.

Keyphrases: Drive Unit，, Hidden State Mapping, High Speed Motorized Spindle，, Performance Diagnosis，

@booklet{EasyChair:3692,
  author    = {Zhengwei Jia and Liting Fan and Chunxia Zhu and Zhipeng Si and Jizhi Liu},
  title     = {Performance Diagnosis of the Drive Unit for High Speed Motorized Spindle Based on Hidden State Mapping Model},
  howpublished = {EasyChair Preprint 3692},
  year      = {EasyChair, 2020}}