Implementation of Precision Machine Tool Thermal Error Compensation in Edge-Cloud-Fog Computing Architecture
出版年份 2023 全文链接
标题
Implementation of Precision Machine Tool Thermal Error Compensation in Edge-Cloud-Fog Computing Architecture
作者
关键词
-
出版物
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
Volume 145, Issue 7, Pages -
出版商
ASME International
发表日期
2023-02-24
DOI
10.1115/1.4057011
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Robust modeling method for thermal error of CNC machine tools based on random forest algorithm
- (2022) Mengrui Zhu et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Thermally-induced error compensation of spindle system based on long short term memory neural networks
- (2021) Jialan Liu et al. APPLIED SOFT COMPUTING
- Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network
- (2020) Alex Sherstinsky PHYSICA D-NONLINEAR PHENOMENA
- Reliability of response region: A novel mechanism in visual tracking by edge computing for IIoT environments
- (2020) Shuai Liu et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Intelligent Prognostics of Machining Tools Based on Adaptive Variational Mode Decomposition and Deep Learning Method with Attention Mechanism
- (2020) Chongdang Liu et al. NEUROCOMPUTING
- Enabling smart manufacturing through a systematic planning framework for edge computing
- (2020) Jakob Zietsch et al. CIRP Journal of Manufacturing Science and Technology
- Geometric error contribution modeling and sensitivity evaluating for each axis of five-axis machine tools based on POE theory and transforming differential changes between coordinate frames
- (2019) Guoqiang Fu et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
- Model-based error motion prediction and fit clearance optimization for machine tool spindles
- (2019) Hongrui Cao et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A method of NC machine tools intelligent monitoring system in smart factories
- (2019) Wei Liu et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Bidirectional Prediction-Based Underwater Data Collection Protocol for End-Edge-Cloud Orchestrated System
- (2019) Tian Wang et al. IEEE Transactions on Industrial Informatics
- Tasks Scheduling and Resource Allocation in Fog Computing Based on Containers for Smart Manufacture
- (2018) Luxiu Yin et al. IEEE Transactions on Industrial Informatics
- Deploying Fog Computing in Industrial Internet of Things and Industry 4.0
- (2018) Mohammad Aazam et al. IEEE Transactions on Industrial Informatics
- Scheduling in cloud manufacturing: state-of-the-art and research challenges
- (2018) Yongkui Liu et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Sensitivity analysis and application of machine learning methods to predict the heat transfer performance of CNT/water nanofluid flows through coils
- (2018) Alireza Baghban et al. INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
- Robust modeling method for thermal error of CNC machine tools based on ridge regression algorithm
- (2017) Hui Liu et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
- Thermal error compensation of high-speed spindle system based on a modified BP neural network
- (2016) Chi Ma et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- A geometric error budget method to improve machining accuracy reliability of multi-axis machine tools
- (2016) Ziling Zhang et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Automated thermal fuse inspection using machine vision and artificial neural networks
- (2014) Te-Hsiu Sun et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Improved Real-time Denoising Method Based on Lifting Wavelet Transform
- (2014) Zhaohua Liu et al. Measurement Science Review
- Thermal issues in machine tools
- (2012) Josef Mayr et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now