An Intelligent Control Model Based on Digital Twin Technology and Optimized Least-Squares Support Vector Regression for Predicting Electromagnetic Brake Assembly Quality

An Intelligent Control Model Based on Digital Twin Technology and Optimized Least-Squares Support Vector Regression for Predicting Electromagnetic Brake Assembly Quality

Electromagnetic (EM) brakes are widely applied in many automation and control fields. Assembly quality defects in EM brakes can significantly reduce braking performance and pose potential safety risks. The primary challenge in assembly quality control is the ability to predict product quality and pr...

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Bibliographic Details
Main Authors: Yuxuan Shi, Jihong Pang, Yuanzhong Chen, Jinkun Dai, Yong Li
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Digital twin
particle swarm optimization
predictive control
quality control
reliability engineering
support vector machines
Online Access:https://ieeexplore.ieee.org/document/10314491/

Internet

https://ieeexplore.ieee.org/document/10314491/

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