Multivariate statistical process monitoring based on dissimilarity matrix / (Record no. 4157)

MARC details
000 -LEADER
fixed length control field 02337nam a2200253 a 4500
001 - CONTROL NUMBER
control field vtls000075054
003 - CONTROL NUMBER IDENTIFIER
control field KUKTEM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251114204548.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 131007t2012 my da f m 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number THE0002018(Local)
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201905131606
Level of effort used to assign nonsubject heading access points yusri
Level of effort used to assign subject headings 201311141158
Level of effort used to assign classification nabilah
Level of effort used to assign subject headings 201310231014
Level of effort used to assign classification nabilah
-- 201310071259
-- 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 .S68 2012 rs Bc.
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Souven Jawa Steward Gima
245 10 - TITLE STATEMENT
Title Multivariate statistical process monitoring based on dissimilarity matrix /
Statement of responsibility, etc. Souven Jawa anak Steward Gima
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Kuantan, Pahang :
Name of publisher, distributor, etc. UMP,
Date of publication, distribution, etc. 2012
300 ## - PHYSICAL DESCRIPTION
Extent xiii, 49 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 – 2012
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Bibliography : p. 35-37
520 3# - SUMMARY, ETC.
Summary, etc. This thesis mainly deals with the development of new technique in process monitoring which integrates dissimilarity matrix together with the traditional technique which is the conventional Principal Component Analysis (cPCA). From previous research, it is concluded that the cPCA technique itself is not effective when the process variables of the particular process is non-linearly correlated. Specifically, the cPCA cannot detect a change of correlation among process variables as long as the monitored indexes are inside the control limits. The new technique which is dissimilarity integrated with PCAbased Multivariate Statistical Process Monitoring (MSPM), was developed by using Matlab. By using the software, two runs are executed which are based on the traditional technique and the new technique respectively. The data used is based on the simulation of CSTR system and two faults are tested with both abrupt and incipient types of faults are taken into account. The final results are projected in form of Hotelling’s T2 and Squared Prediction Error (SPE) monitoring statistics to be analyzed. Significantly, the cPCA can detect fault introduced into the system earlier if compared to the new technique specifically for incipient faults. Nevertheless, both methods are able to perform fault detection equally well for abrupt faults.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Multivariate anlaysis
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Principal component 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 .S68 2012 rs Bc. 0000074931 04/09/2019 1 04/09/2019 Final Year Report
  Not lost   Not for loan UMPLIB GAMBANG UMPLIB GAMBANG 04/09/2019   CD 7165 | QA278 .S68 2012 rs Bc. 0000074932 04/09/2019 1 04/09/2019 Final Year Report

Perpustakaan Universiti Malaysia Pahang Al-Sultan Abdullah
26600 Pekan, Pahang Darul Makmur
Phone: +609 431 5063 (Gambang) / +609 431 5035 (Pekan)
Email: umplibrary@umpsa.edu.my

Connect With Us