Multi-mode operation of principal component analysis with k-nearest neighbor algorithm to monitor compressors for liquefied natural gas mixed refrigerant processes-Reference-Cited by-同舟云学术

Multi-mode operation of principal component analysis with k-nearest neighbor algorithm to monitor compressors for liquefied natural gas mixed refrigerant processes

Published:2017-11 Issue: Volume:106 Page:96-105
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Ha Daegeun,Ahmed Usama,Pyun Hahyung,Lee Chul-Jin,Baek Kye Hyun,Han Chonghun

Funder

Institute of Chemical Processes in Seoul National University

Ministry of Trade, Industry & Energy

Korea Ministry of Environment (MOE) as the Chemical Accident Prevention Technology Development Project

Korea Institute of Energy Technology Evaluation and Planning

Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference21 articles.

1. Fault Detection and Diagnosis in Industrial Systems;Chiang,2000

2. Adaptive multivariate statistical process control for monitoring time-varying processes;Choi;Ind. Eng. Chem. Res.,2006

3. Review of recent research on data-based process monitoring;Ge;Ind. Eng. Chem. Res.,2013

4. Real-time monitoring for a process with multiple operating modes;Hwang;Control Eng. Pract.,1999

5. Adaptive process monitoring using efficient recursive PCA and moving window PCA algorithms;Jeng;J. Taiwan Inst. Chem. Eng.,2010

Cited by 47 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. Explainable AI methodology for understanding fault detection results during Multi-Mode operations;Chemical Engineering Science;2024-11

2. Anomaly detection using large-scale multimode industrial data: An integration method of nonstationary kernel and autoencoder;Engineering Applications of Artificial Intelligence;2024-05

3. Process monitoring and fault diagnosis method combining bagging DPCA‐ICA with moving window Kolmogorov–Smirnov test;The Canadian Journal of Chemical Engineering;2024-02-18

4. A Data-Driven Monitoring Approach for Diagnosing Quality Degradation in a Glass Container Process;Lecture Notes in Computer Science;2024

5. Multi-modal hybrid modeling strategy based on Gaussian Mixture Variational Autoencoder and spatial–temporal attention: Application to industrial process prediction;Chemometrics and Intelligent Laboratory Systems;2024-01