Research Article
Error Correction Method for Rotating Axis of Large Rotating Machinery Based on Machine Vision
@INPROCEEDINGS{10.1007/978-3-030-82562-1_4, author={Yu-Shuo Tan and Wen-Bin Zhang and Jing Wang and Han Han and Wei-Ping Cao}, title={Error Correction Method for Rotating Axis of Large Rotating Machinery Based on Machine Vision}, proceedings={Multimedia Technology and Enhanced Learning. Third EAI International Conference, ICMTEL 2021, Virtual Event, April 8--9, 2021, Proceedings, Part I}, proceedings_a={ICMTEL}, year={2021}, month={7}, keywords={Machine vision Mechanical axis of rotation Error correction Error check code}, doi={10.1007/978-3-030-82562-1_4} }- Yu-Shuo Tan
Wen-Bin Zhang
Jing Wang
Han Han
Wei-Ping Cao
Year: 2021
Error Correction Method for Rotating Axis of Large Rotating Machinery Based on Machine Vision
ICMTEL
Springer
DOI: 10.1007/978-3-030-82562-1_4
Abstract
The error model of the traditional error correction method has data deviation, which leads to a decline in the ability to identify and separate error data during the error correction process. For this reason, this research proposes a new method of error correction for the rotating shaft of large rotating machinery based on machine vision technology. This method redesigns the shaft error check code and optimizes the shaft error model of large rotating machinery. Then based on the machine vision to detect the shaft error, and realize the reliable correction of the shaft error. The experimental results show that: compared with the traditional method, the recognition similarity coefficient of this method is closer to 1, and the error data separation effect is also superior to the traditional method.
