A data-driven workflow for evaporation performance degradation analysis: a full-scale case study in the herbal medicine manufacturing industry
Author:
Funder
National Science and Technology Major Project of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Link
https://link.springer.com/content/pdf/10.1007/s10845-021-01816-w.pdf
Reference38 articles.
1. Abid, A., Zhang, M. J., Bagaria, V. K., & Zou, J. (2018). Exploring patterns enriched in a dataset with contrastive principal component analysis. Nature Communications, 9, 2134. https://doi.org/10.1038/s41467-018-04608-8
2. Aljuaid, T., & Sasi, S (2016). Proper imputation techniques for missing values in data sets. In 2016 International Conference on Data Science and Engineering (ICDSE), (pp. 146–150). https://doi.org/10.1109/ICDSE.2016.7823957
3. Allaoui, M., Kherfi, M. L., Cheriet, A., El Moataz, A., Mammass, D., Mansouri, A., et al. (2020). Considerably improving clustering algorithms using UMAP dimensionality reduction technique: A comparative study. In A. El Moataz, D. Mammass, A. Mansouri, & F. Nouboud (Eds.), Image and signal processing ICISP 2020. Lecture Notes in computer science. Cham: Springer. https://doi.org/10.1007/978-3-030-51935-3_34
4. Ben-Ali, S. (2018). Modeling of a double effect evaporator: Bond graph approach. Chemical Engineering Research and Design, 138, 554–567. https://doi.org/10.1016/j.cherd.2018.07.007
5. Bhat, S. A., & Saraf, D. N. (2004). Steady-state identification, gross error detection, and data reconciliation for industrial process units. Industrial and Engineering Chemistry Research, 43(15), 4323–4336. https://doi.org/10.1021/ie030563u
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3