eprintid: 8548
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/85/48
datestamp: 2023-11-09 16:20:27
lastmod: 2023-11-09 16:20:27
status_changed: 2023-11-09 16:12:55
type: conference_item
metadata_visibility: show
creators_name: Okitsu, J.
creators_name: Matsuo, T.
creators_name: Yamamoto, H.
creators_name: Zabiri, H.B.
creators_name: Tufa, L.D.
creators_name: Ramasamy, M.
title: Cause analysis of representative troubles at distillation tower using discriminant analysis
ispublished: pub
keywords: Distillation; Distillation equipment; Equipment testing; Heat exchangers, Analysis method; Binary distillation; Causes analysis; Crude distillation units; Distillation towers; Domain knowledge; Operating efficiency; PETRONAS; Test equipments, Discriminant analysis
note: cited By 0; Conference of 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017 ; Conference Date: 10 December 2017 Through 13 December 2017; Conference Code:134633
abstract: In order to improve crude distillation unit (CDU) operating efficiency, a cause analysis method to identify CDU anomalies based on discriminant analysis was proposed. The method identifies sensors in CDU that behave different between during anomaly and normal period using discriminant analysis. To detect cause of troubles with the identified sensors, category table to categorize sensors based on domain knowledge and statistical analysis using histogram were introduced. Binary distillation experiments using a mixture of ethanol and water carried out on test equipment at Universiti Teknologi PETRONAS (UTP) confirmed that the method could detect causes in 6 troubles out of total 7 heat exchanger related troubles that were experimented in the equipment. © 2017 IEEE.
date: 2017
publisher: IEEE Computer Society
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045255502&doi=10.1109%2fIEEM.2017.8290222&partnerID=40&md5=20350be557a3401d596660423329bfdf
id_number: 10.1109/IEEM.2017.8290222
full_text_status: none
publication: IEEE International Conference on Industrial Engineering and Engineering Management
volume: 2017-D
pagerange: 1901-1905
refereed: TRUE
isbn: 9781538609484
issn: 21573611
citation:   Okitsu, J. and Matsuo, T. and Yamamoto, H. and Zabiri, H.B. and Tufa, L.D. and Ramasamy, M.  (2017) Cause analysis of representative troubles at distillation tower using discriminant analysis.  In: UNSPECIFIED.