Motor Load Balancing with Roll Force Prediction for a Cold-Rolling Setup with Neural Networks
出版年份 2021 全文链接
标题
Motor Load Balancing with Roll Force Prediction for a Cold-Rolling Setup with Neural Networks
作者
关键词
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出版物
Mathematics
Volume 9, Issue 12, Pages 1367
出版商
MDPI AG
发表日期
2021-06-15
DOI
10.3390/math9121367
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Improving the Generalization Ability of Deep Neural Networks for Cross-Domain Visual Recognition
- (2020) Jianwei Zheng et al. IEEE Transactions on Cognitive and Developmental Systems
- Industrial feedforward control technology: a review
- (2018) Lu Liu et al. JOURNAL OF INTELLIGENT MANUFACTURING
- A comparison of dimension reduction techniques for support vector machine modeling of multi-parameter manufacturing quality prediction
- (2018) Yun Bai et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Using regression models for predicting the product quality in a tubing extrusion process
- (2018) Vicente García et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Recurrent feature-incorporated convolutional neural network for virtual metrology of the chemical mechanical planarization process
- (2018) Ki Bum Lee et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Joint modeling of classification and regression for improving faulty wafer detection in semiconductor manufacturing
- (2018) Seokho Kang JOURNAL OF INTELLIGENT MANUFACTURING
- Condition multi-classification and evaluation of system degradation process using an improved support vector machine
- (2017) Qiang Miao et al. MICROELECTRONICS RELIABILITY
- Data Mining and Analytics in the Process Industry: The Role of Machine Learning
- (2017) Zhiqiang Ge et al. IEEE Access
- Prediction of roll force in skin pass rolling using numerical and artificial neural network methods
- (2016) Y. Mahmoodkhani et al. IRONMAKING & STEELMAKING
- Visual Computing as a Key Enabling Technology for Industrie 4.0 and Industrial Internet
- (2015) Jorge Posada et al. IEEE COMPUTER GRAPHICS AND APPLICATIONS
- Multimodal deep support vector classification with homologous features and its application to gearbox fault diagnosis
- (2015) Chuan Li et al. NEUROCOMPUTING
- Motor fault detection and diagnosis using a hybrid FMM-CART model with online learning
- (2014) Manjeevan Seera et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Intelligent maintenance prediction system for LED wafer testing machine
- (2014) Chien-Chang Hsu et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Review of Recent Research on Data-Based Process Monitoring
- (2013) Zhiqiang Ge et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Environmental and economic gains of industrial symbiosis for Chinese iron/steel industry: Kawasaki's experience and practice in Liuzhou and Jinan
- (2013) Liang Dong et al. JOURNAL OF CLEANER PRODUCTION
- Mode of circular economy in China's iron and steel industry: a case study in Wu'an city
- (2013) Shu-hua Ma et al. JOURNAL OF CLEANER PRODUCTION
- An approach to monitoring quality in manufacturing using supervised machine learning on product state data
- (2013) Thorsten Wuest et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Energy Consumption and Its Influencing Factors of Iron and Steel Enterprise
- (2013) Tao DU et al. JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL
- Survey on data-driven industrial process monitoring and diagnosis
- (2012) S. Joe Qin ANNUAL REVIEWS IN CONTROL
- Application of artificial neural networks for the prediction of roll force and roll torque in hot strip rolling process
- (2012) Mahdi Bagheripoor et al. APPLIED MATHEMATICAL MODELLING
- Artificial neural network predictors for mechanical properties of cold rolling products
- (2011) J. Ghaisari et al. ADVANCES IN ENGINEERING SOFTWARE
- Online monitoring and fault identification of mean shifts in bivariate processes using decision tree learning techniques
- (2011) Shu-Guang He et al. JOURNAL OF INTELLIGENT MANUFACTURING
- A non-linear quality improvement model using SVR for manufacturing TFT-LCDs
- (2010) Der-Chiang Li et al. JOURNAL OF INTELLIGENT MANUFACTURING
- An Ensemble ELM Based on Modified AdaBoost.RT Algorithm for Predicting the Temperature of Molten Steel in Ladle Furnace
- (2009) Hui-Xin Tian et al. IEEE Transactions on Automation Science and Engineering
- Application of the Genetic Programming for Increasing the Soft Annealing Productivity in Steel Industry
- (2009) Miha Kovačič et al. MATERIALS AND MANUFACTURING PROCESSES
- Application of neural networks to predict the elevated temperature flow behavior of a low alloy steel
- (2008) Y.C. Lin et al. COMPUTATIONAL MATERIALS SCIENCE
- Hybrid Modeling of Molten Steel Temperature Prediction in LF
- (2008) Huixin Tian et al. ISIJ INTERNATIONAL
- Data mining in manufacturing: a review based on the kind of knowledge
- (2008) A. K. Choudhary et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Application of machine learning techniques for supply chain demand forecasting
- (2007) Real Carbonneau et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Artificial Neural Network approach to predict mechanical properties of hot rolled, nonresulfurized, AISI 10xx series carbon steel bars
- (2007) Mehmet Sirac Ozerdem et al. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
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