Enhancement of PCA-based fault detection system through utilising dissimilarity matrix for continuous-based process / (Record no. 3970)

MARC details
000 -LEADER
fixed length control field 02231nam a2200241 a 4500
001 - CONTROL NUMBER
control field vtls000075732
003 - CONTROL NUMBER IDENTIFIER
control field KUKTEM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251114204541.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 131025t2013 my da f abm 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number THE0002025(Local)
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201905131608
Level of effort used to assign nonsubject heading access points yusri
-- 201310251352
-- nabilah
040 ## - CATALOGING SOURCE
Original cataloging agency UMP
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) QA278.5 .A35 2013 rs Bc.
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Nur Afifah Hassan
245 10 - TITLE STATEMENT
Title Enhancement of PCA-based fault detection system through utilising dissimilarity matrix for continuous-based process /
Statement of responsibility, etc. Nur Afifah Hassan
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Kuantan, Pahang :
Name of publisher, distributor, etc. UMP,
Date of publication, distribution, etc. 2013
300 ## - PHYSICAL DESCRIPTION
Extent xvi, 62 p. :
Other physical details ill. ;
Dimensions 30 cm. +
Accompanying material 1 CD-ROM
502 ## - DISSERTATION NOTE
Dissertation note Project paper (Bachelor of Chemical Engineering) -- Universiti Malaysia Pahang – 2013
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Bibliography : p. 56-58
520 3# - SUMMARY, ETC.
Summary, etc. This research is about enhancement of PCA-based fault detection system through utilizing dissimilarity matrix. Nowadays, the chemical process industry is highly based on the non-linear relationships between measured variables. However, the conventional PCA-based MSPC is no longer effective because it only valid for the linear relationships between measured variables. Due in order to solve this problem, the technique of dissimilarity matrix is used in multivariate statistical process control as alternative technique which models the non-linear process and can improve the process monitoring performance. The conventional PCA system was run and the dissimilarity system was developed and lastly the monitoring performance in each technique were compared and analysed to achieve aims of this research. This research is to be done by using Matlab software. The findings of this study are illustrated in the form of Hotelling’s T2 and Squared Prediction Errors (SPE) monitoring statistics to be analysed. As a conclusion, the dissimilarity system is comparable to the conventional method. Thus can be the other alternative ways in the process monitoring performance. Finally, it is recommended to use data from other chemical processing systems for more concrete justification of the new technique.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Principal components analysis
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
  Not lost   Not for loan UMPLIB GAMBANG UMPLIB GAMBANG 04/09/2019   QA278.5 .A35 2013 rs Bc. 0000074671 04/09/2019 1 04/09/2019 Final Year Report
  Not lost   Not for loan UMPLIB GAMBANG UMPLIB GAMBANG 04/09/2019   CD 7035 | QA278.5 .A35 2013 rs Bc. 0000074672 04/09/2019 1 04/09/2019 Final Year Report

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