Comparison of algorithms for error prediction in manufacturing with automl and a cost-based metric
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Intelligent Manufacturing"
DOI: 10.1007/s10845-021-01890-0
Abstract: In order to manufacture products at low cost, machine learning (ML) is increasingly used in production, especially in high wage countries. Therefore, we introduce our PREFERML AutoML system, which is adapted to the production environment.… read more here.
Keywords: automl; cost; algorithms error; prediction manufacturing ... See more keywords
Residual-error prediction based on deep learning for lossless image compression
Sign Up to like & getrecommendations! Published in 2018 at "Electronics Letters"
DOI: 10.1049/el.2018.0889
Abstract: A novel residual-error prediction method based on deep learning with application in lossless image compression is introduced. The proposed method employs machine learning tools to minimise the residual error of the employed prediction tools. Experimental… read more here.
Keywords: error; error prediction; residual error; deep learning ... See more keywords
Measurement Error Prediction of Power Metering Equipment Using Improved Local Outlier Factor and Kernel Support Vector Regression
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2021.3114740
Abstract: The measurement error evaluation of power metering equipment (PME) is significant for the instrument design and accurate metering of electric energy, especially under extreme environmental stresses. However, actual measurement error assessment is often disturbed by… read more here.
Keywords: metering equipment; measurement error; error; power metering ... See more keywords
Digital Twin-Driven Thermal Error Prediction for CNC Machine Tool Spindle
Sign Up to like & getrecommendations! Published in 2023 at "Lubricants"
DOI: 10.3390/lubricants11050219
Abstract: Traditional methods for predicting thermal error ignore the correlation between physical world data and virtual world data, leading to the low prediction accuracy of thermal errors and affecting the normal processing of the CNC machine… read more here.
Keywords: cnc machine; machine tool; thermal error; error ... See more keywords
Error Prediction in Industrial Robot Machining: Optimization Based on Stiffness and Accuracy Limit
Sign Up to like & getrecommendations! Published in 2021 at "Engineering"
DOI: 10.4236/eng.2021.136024
Abstract: Among the advantages of using industrial robots for machining applications instead of machine tools are flexibility, cost effectiveness, and versatility. Due to the kinematics of the articulated robot, the system behaviour is quite different compared… read more here.
Keywords: industrial robot; robot machining; accuracy; robot ... See more keywords