Please use this identifier to cite or link to this item:
Title: Intelligent prediction monitoring system for predictive maintenance in manufacturing
Authors: Zhou, J.
Li, X.
Andernroomer, A.J.R.
Zeng, H.
Goh, K.M.
Wong, Y.S. 
Hong, G.S. 
Issue Date: 2005
Citation: Zhou, J.,Li, X.,Andernroomer, A.J.R.,Zeng, H.,Goh, K.M.,Wong, Y.S.,Hong, G.S. (2005). Intelligent prediction monitoring system for predictive maintenance in manufacturing. IECON Proceedings (Industrial Electronics Conference) 2005 : 2314-2319. ScholarBank@NUS Repository.
Abstract: This paper presents an intelligent prediction and monitoring system for equipment failure prediction to support equipment maintenance, diagnostics and prognostics in manufacturing environment. The system architecture and implementation techniques, such as agent framework, real-time data acquisition and federated communication are briefly described. Details are given on the intelligent prediction engine which is the key component of the system. A case study for machining tool useful lifetime prediction is presented to demonstrate the usability of the system. © 2005 IEEE.
Source Title: IECON Proceedings (Industrial Electronics Conference)
ISBN: 0780392523
DOI: 10.1109/IECON.2005.1569264
Appears in Collections:Staff Publications

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


checked on Dec 17, 2018

Page view(s)

checked on Nov 16, 2018

Google ScholarTM



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