Inference of faults through symbolic regression of system data-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Inference of faults through symbolic regression of system data

Published:2022-01 Issue: Volume:157 Page:107619
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Hale William T.,Safikou Efi,Bollas George M.

Funder

United Technologies Corporation Institute for Advanced Systems Engineering

United Technologies

University of Connecticut

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference47 articles.

1. Peeking inside the black-box: a survey on explainable artificial intelligence (XAI);Adadi;IEEE Access,2018

2. Hybrid neural intelligent system to predict business failure in small-to-medium-size enterprises;Borrajo;Int. J. Neural Syst.,2011

3. Interpretable vs. noninterpretable machine learning models for data-driven hydro-climatological process modeling;Chakraborty;Expert Syst. Appl.,2021

4. Input selection methods for data-driven soft sensors design: application to an industrial process;Curreri;Inf. Sci.,2020

5. A simple Bayesian modification of d-optimal designs to reduce dependence on an assumed model;DuMouchel;Technometrics,1994

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Physics-informed genetic programming for discovery of partial differential equations from scarce and noisy data;Journal of Computational Physics;2024-10

2. Application of machine learning in monitoring fouling in heat exchangers in chemical engineering: A systematic review;The Canadian Journal of Chemical Engineering;2024-09-02

3. Transparency: The Missing Link to Boosting AI Transformations in Chemical Engineering;Engineering;2024-08

4. Fault Detection in Closed-Loop Systems Based on Inferential Sensors;2024 American Control Conference (ACC);2024-07-10

5. A framework for data regression of heat transfer data using machine learning;Applied Thermal Engineering;2024-07

同舟云学术

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