Browse By Repository:

 
 
 
   

A Framework of an Intelligent Maintenance Prognosis Tool

Asmai, S. A. and Hussin, B. and M. Yusof, M. (2010) A Framework of an Intelligent Maintenance Prognosis Tool. In: Second International Conference on Computer Research and Development, 2010 , 7-10 May 2010 , Kuala Lumpur.

[img]
Preview
PDF
PID1155457.pdf - Published Version

Download (589Kb)

Abstract

The technology of prognosis has become a significant approach but its implementation in maintenance has a major extension. The ability prognosis in the medical area has been established to estimate the future of human health. However, in maintenance, application of prognosis is not yet seen as a practical use for making better maintenance decision. To date, research in this area has been done in proposing prognosis techniques or model but leaving the implementation of prognosis as their future work. In this paper, an overview of prognosis in maintenance is presented. By using the data-driven approach, a framework for implementing of an intelligent maintenance prognosis tool is introduced. The framework utilizes the existing equipment operating performance data in the industry for prognosis process. Next, the framework combines the ability of prognosis in estimating remaining useful life (RUL) of equipment with the maintenance action knowledge to generate a well-received maintenance plan.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > Q Science (General)
Divisions: Faculty of Information and Communication Technology > Department of Industrial Computing
Depositing User: Dr. Siti Azirah Asmai
Date Deposited: 24 Aug 2011 03:22
Last Modified: 28 May 2015 02:16
URI: http://eprints.utem.edu.my/id/eprint/15

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year