Fault detection approach for systems involving soft sensors

Author:

Serpas Mitch,Chu Yunfei,Hahn Juergen

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Energy Engineering and Power Technology,Safety, Risk, Reliability and Quality,General Chemical Engineering,Food Science,Control and Systems Engineering

Reference40 articles.

1. Soft sensors development for on-line bioreactor state estimation;de Assis;Computers & Chemical Engineering,2000

2. Fault detection by using the innovation signal: application to an exothermic reaction;Chetouani;Chemical Engineering and Processing,2004

3. Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysis;Chiang;Chemometrics and Intelligent Laboratory Systems,2000

4. A numerical approach to analysis and design of FDI systems;Ding,1998

5. Threshold calculation using LMI-technique and its integration in the design of fault detection systems;Ding,2004

Cited by 9 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. Domain Adversarial Neural Network Regression to design transferable soft sensor in a power plant;Computers in Industry;2021-11

2. Virtual Sensors for Fault Diagnosis: A Case of Induction Motor Broken Rotor Bar;IEEE Sensors Journal;2021-02-15

3. A Data-Driven Soft Sensing Approach Using Modified Subspace Identification With Limited Iterative Expectation-Maximization;IEEE Transactions on Instrumentation and Measurement;2020-11

4. Fault Diagnosis Method Based on Scaling Law for On-line Refrigerant Leak Detection;2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA);2018-12

5. Semi-supervised Approach to Soft Sensor Modeling for Fault Detection in Industrial Systems with Multiple Operation Modes;Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017;2017-08-31

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