An automated dynamic-balancing-inspection scheme for wheel machining

Hao Tieng, Yu Yong Li, Kuang Ping Tseng, Haw Ching Yang, Fan Tien Cheng

研究成果: Article同行評審

摘要

Wheel balance plays an important role in vehicle safety. The existing inspection method for wheel balance mainly relies on the off-machine measurement technique, which is time-and manpower-consuming as the worldwide requirement of the automated production system gradually increases. However, the multi-unbalance causes are difficult to identify due to complex machine structures; and the low signal-noise-ratio between wheel and machine vibration makes traditional handcrafted features difficult to detect wheel unbalance. To overcome these two challenges, this paper proposes a Dynamic-Balancing-Inspection (DBI) scheme which integrates steps of data collection, data preprocessing, and ensemble average of Convolution Neural Network (CNN) based models with well-Tailored filters and activation functions, to automatically uncover critical information from frequency data and provide the on-machine and real-Time total inspection for the wheel balance. The application of the wheel balance from a practical CNC-machine is adopted to illustrate the performance of the DBI approach.

原文English
文章編號8978473
頁(從 - 到)2224-2231
頁數8
期刊IEEE Robotics and Automation Letters
5
發行號2
DOIs
出版狀態Published - 2020 4月

All Science Journal Classification (ASJC) codes

  • 控制與系統工程
  • 生物醫學工程
  • 人機介面
  • 機械工業
  • 電腦視覺和模式識別
  • 電腦科學應用
  • 控制和優化
  • 人工智慧

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