A framework for data-driven fault detection and identification with multi-scale Kernel Fisher discrimmant analysis in chemical process systems /

Saved in:
Bibliographic Details
Main Author: Norazwan Md Nor (Author)
Format: Thesis Book
Language:English
Published: 2018.
Subjects:
Online Access:http://studentsrepo.um.edu.my/9357/
Tags: Add Tag
No Tags, Be the first to tag this record!
LEADER 01615cam a2200373 i 4500
001 u1096809
003 SIRSI
005 201810121200
008 181012s2018 my a m 000 0 eng
040 |a UMM  |d UMJ  |d AUM  |e rda 
090 |a TD7  |b UMP 2018 Normn 
097 |a TD7  |b UMP 2018 Normn 
100 0 |a Norazwan Md Nor,  |e author. 
245 1 2 |a A framework for data-driven fault detection and identification with multi-scale Kernel Fisher discrimmant analysis in chemical process systems /  |c Norazwan bin Md Nor. 
264 1 |c 2018. 
300 |a xv, 143 leaves :  |b illustrations ;  |c 30 cm. 
336 |a text  |2 rdacontent 
337 |a unmediated  |2 rdamedia 
337 |a computer  |2 rdamedia 
338 |a volume  |2 rdacarrier 
338 |a computer disc  |2 rdacarrier 
502 |b Ph.D.  |c Jabatan Kejuruteraan Kimia, Fakulti Kejuruteraan, Universiti Malaya  |d 2018. 
504 |a Bibliography: leaves 132-141. 
650 0 |a Fault location (Engineering) 
650 0 |a Chemical processes. 
650 0 |a Chemical engineering. 
650 0 |a Kernel functions. 
710 2 |a Universiti Malaya.  |b Jabatan Kejuruteraan Kimia  |e degree granting institution. 
856 4 1 |u http://studentsrepo.um.edu.my/9357/ 
596 |a 1 7 25 
900 |a NSM AMA 
999 |a TD7 UMP 2018 NORMN  |w LC  |c 1  |i A517220392  |d 19/10/2018  |f 19/10/2018  |g 1  |l STACKS  |m P01UTAMA  |r Y  |s Y  |t TESIS  |u 19/10/2018  |1 STEM 
999 |a TD7 UMP 2018 NORMN  |w LC  |c 1  |i A517072328  |f 12/12/2018  |g 1  |l STACKS  |m P25UMARCHI  |r N  |s Y  |t CD  |u 12/12/2018  |1 STEM  |o .STAFF. MST-CD7008 
999 |a TD7 UMP 2018 NORMN  |w LC  |c 1  |i A515761038  |f 29/1/2019  |g 1  |l STACKS  |m P07JURUTER  |r Y  |s Y  |t TESIS  |u 29/1/2019  |1 STEM