Browse By Repository:

 
 
 
   

Application of Multi- Step Time Series Prediction For Industrial Equipment Prognostic

Asmai, S. A. and Abdullah, Rosmiza Wahida and Che Soh, Norhisham and Basari, A.S.H and Hussin, Burairah (2011) Application of Multi- Step Time Series Prediction For Industrial Equipment Prognostic. In: IEEE Conference On Open System (ICOS2011), 25-28 September 2011, Langkawi, Kedah. (Submitted)

[img] Text
APPLICATION OF MULTI-STEP TIME SERIES PREDICTION FOR INDUSTRIAL EQUIPMENT PROGNOSTIC-SITI AZIRAH ASMAI-MAK 00346 RAF.pdf

Download (2984Kb)

Abstract

The use of prognostics is critically to be implemented in industrial. This paper .presents an application of multi-step time series prediction to support industrial equipment prognostic. An artificial neural network technique with sliding window is considered for the multi-step prediction which is able to predict the series of future equipment condition. The structure of prognostic application is presented. The feasibility of this prediction application was demonstrated by applying real condition monitoring data of industrial equipment.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Industrial equipment -- Protection, Neural networks (Computer science) -- Design and construction, Machining
Subjects: T Technology > T Technology (General)
T Technology > TJ Mechanical engineering and machinery
Divisions: Faculty of Information and Communication Technology
Depositing User: Muhammad Afiz Ahmad
Date Deposited: 14 Dec 2017 03:02
Last Modified: 14 Dec 2017 03:02
URI: http://eprints.utem.edu.my/id/eprint/20107

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year