eprintid: 10171
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/01/71
datestamp: 2023-11-09 16:36:48
lastmod: 2023-11-09 16:36:48
status_changed: 2023-11-09 16:30:46
type: conference_item
metadata_visibility: show
creators_name: Nor, N.H.M.
creators_name: Aziz, I.A.
creators_name: Rashid, N.A.
title: Prediction of Lifetime Digital Heat Exchanger using Life Cycle Cost Analysis (LCCA)
ispublished: pub
keywords: Chemical analysis; Chemical industry; Cost accounting; Heat exchangers; Life cycle; Neural networks; Predictive analytics; Time series analysis, Analysis models; Condition; Data analytic tools; Equipment conditions; Life cycle costs analysis; Life-times; Lifespans; Process heat exchangers; Usage rate; Using life, Cost benefit analysis
note: cited By 0; Conference of 2018 IEEE Conference on Big Data and Analytics, ICBDA 2018 ; Conference Date: 21 November 2018 Through 22 November 2018; Conference Code:144703
abstract: The Life Cycle Cost Analysis (LCCA) is typically used as the process of compiling all costs that owner of an asset will incur over the lifespan. The purpose of this project is to develop a predictive analysis model of lifetime heat exchanger. The heat exchanger is used as heaters or coolers in power plants and process heat exchangers in the petroleum-refining and chemical industries. This project aims to produce a data analytics tool that can perform series of analysis by considering life time, equipment condition and subsequent usage rate. Life Cycle Cost is used to determine the lifetime and condition of the heat exchanger. The project used Artificial Neural Network (ANN) algorithm with R programming language for forecasting. The analysis dashboard will assist engineers to make informed decision to replace the equipment at an optimized lifetime. © 2018 IEEE.
date: 2018
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062780651&doi=10.1109%2fICBDAA.2018.8629665&partnerID=40&md5=4c1844519131b2f5dd9845b1921bceef
id_number: 10.1109/ICBDAA.2018.8629665
full_text_status: none
publication: 2018 IEEE Conference on Big Data and Analytics, ICBDA 2018
pagerange: 12-15
refereed: TRUE
isbn: 9781538671283
citation:   Nor, N.H.M. and Aziz, I.A. and Rashid, N.A.  (2018) Prediction of Lifetime Digital Heat Exchanger using Life Cycle Cost Analysis (LCCA).  In: UNSPECIFIED.