Please use this identifier to cite or link to this item: https://doi.org/10.1109/IAT.2005.38
Title: An agent-based platform for web-enabled equipment predictive maintenance
Authors: Yan, L.
Lu, C.
Andrew, N.Y.C. 
Issue Date: 2005
Source: Yan, L.,Lu, C.,Andrew, N.Y.C. (2005). An agent-based platform for web-enabled equipment predictive maintenance. Proceedings - 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT'05 2005 : 132-135. ScholarBank@NUS Repository. https://doi.org/10.1109/IAT.2005.38
Abstract: Conceptually, web-integration predictive maintenance approaches are potential to meet the higher requirements of global equipment maintenance, such as zero-downtime and minimized maintenance cost. However, due to the complexity of real global manufacturing environment and limitations of predictive maintenance technology and information technology, it is a big challenge to set up a platform to implement a web-enabled predictive maintenance system. In this paper, an agent-based platform is presented for web-enabled equipment predictive maintenance system. The basic agent structure of a web-enabled predictive maintenance system is defined. Based on the definition, the structure of web-enabled predictive maintenance system for single machine is analyzed. It is then extended to the factory level with many different equipments and the enterprise level for global production. © 2005 IEEE.
Source Title: Proceedings - 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT'05
URI: http://scholarbank.nus.edu.sg/handle/10635/73148
ISBN: 0769524168
DOI: 10.1109/IAT.2005.38
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

13
checked on Dec 13, 2017

Page view(s)

36
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.