NDLI: Application of Data Mining Methods in Eluxyl Process

Content Provider	IEEE Xplore Digital Library
Author	Jia Ren Chaoyang Ma Hongye Su Jian Chu
Copyright Year	2006
Description	Author affiliation: Nat. Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou (Jia Ren; Chaoyang Ma; Hongye Su; Jian Chu)
Abstract	Eluxyl process is a simulated moving bed process. It achieves PX (paraxylene) separation from its other aromatic isomers. One year's historical data of Eluxyl process were studied, and data mining methods were introduced to extract useful operation information from them. Three main data mining procedures were discussed. Data preprocessing was discussed first. Then PCA (principal components analysis) and K-means clustering technology were introduced and applied to discover different operational conditions in different loads. Finally fuzzy classification based on associations (FCBA) algorithm was used to discover the main reasons that lead to performance fluctuations and the rules denoting the typical operations
Starting Page	7697
Ending Page	7701
File Size	164525
Page Count	5
File Format	PDF
ISBN	1424403324
DOI	10.1109/WCICA.2006.1713465
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data mining Data preprocessing Principal component analysis Feeds Clustering algorithms Fluctuations Chaos Laboratories Industrial control Process control Fuzzy classification based on associations (FCBA) Data Mining Eluxyl process
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Local Independent Component Analysis with Fuzzy Clustering and Regression-principal Component Analysis

User Analysis Based on Fuzzy Clustering

Intelligent Data Pretreatment Based on Principal Component Analysis and Fuzzy C-means Clustering in Flotation Process

Linear fuzzy clustering based on least absolute deviations

Combination of Principal Component Analysis and Bayesian Network and its Application on Syndrome Classification for Chronic Gastritis in Traditional Chinese Medicine

Creating fuzzy control rules based on data mining

Linear Fuzzy Clustering for Mixed Databases Based on Optimal Scaling

Sampling Fuzzy K-Means Clustering Algorithm Based on Clonal Optimization

OWA based information fusion method with PCA preprocessing for data classification

Application of Data Mining Methods in Eluxyl Process

Similar Documents

Local Independent Component Analysis with Fuzzy Clustering and Regression-principal Component Analysis

User Analysis Based on Fuzzy Clustering

Intelligent Data Pretreatment Based on Principal Component Analysis and Fuzzy C-means Clustering in Flotation Process

Linear fuzzy clustering based on least absolute deviations

Combination of Principal Component Analysis and Bayesian Network and its Application on Syndrome Classification for Chronic Gastritis in Traditional Chinese Medicine

Creating fuzzy control rules based on data mining

Linear Fuzzy Clustering for Mixed Databases Based on Optimal Scaling

Sampling Fuzzy K-Means Clustering Algorithm Based on Clonal Optimization

OWA based information fusion method with PCA preprocessing for data classification

Application of Data Mining Methods in Eluxyl Process