eprintid: 4162
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/41/62
datestamp: 2023-11-09 16:15:49
lastmod: 2023-11-09 16:15:49
status_changed: 2023-11-09 15:57:48
type: conference_item
metadata_visibility: show
creators_name: Sarwar, U.
creators_name: Muhammad, M.B.
creators_name: Abdul Karim, Z.A.
title: Time series method for machine performance prediction using condition monitoring data
ispublished: pub
keywords: Forecasting; Gas turbines; Neural networks; Time series, Condition-monitoring data; Industrial gas turbines; Machine performance; Maintenance strategies; Network-based approach; Output performance; Reliable performance; Time series modeling, Condition monitoring
note: cited By 4; Conference of 1st International Conference on Computer, Communications, and Control Technology, I4CT 2014 ; Conference Date: 2 September 2014 Through 4 September 2014
abstract: Accurate machine performance prediction is crucial to an effective maintenance strategy for improved reliability and to reduce total maintenance cost. In this study, a time series neural network based approach is introduced to achieve more accurate and reliable performance prediction of machine using condition monitoring data source. The proposed time series model utilizes the various measured condition monitoring data at the current and previous inspection marks as the inputs, and the machine output performance as the targets for the model. To validate the model, it considers a two-shaft industrial gas turbine as a case study. The collected condition monitoring data are used to train and validate the proposed model. Results showed that the proposed time series method could predict the performance of the gas turbine power output with more accuracy and better results. © 2014 IEEE.
date: 2014
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925939871&doi=10.1109%2fI4CT.2014.6914212&partnerID=40&md5=746192e3b5d5801e5dee008f452deb03
id_number: 10.1109/I4CT.2014.6914212
full_text_status: none
publication: I4CT 2014 - 1st International Conference on Computer, Communications, and Control Technology, Proceedings
pagerange: 394-398
refereed: TRUE
isbn: 9781479945559
citation:   Sarwar, U. and Muhammad, M.B. and Abdul Karim, Z.A.  (2014) Time series method for machine performance prediction using condition monitoring data.  In: UNSPECIFIED.