Please use this identifier to cite or link to this item: https://doi.org/10.1109/IECON.2005.1569264
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
Source: 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. https://doi.org/10.1109/IECON.2005.1569264
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)
URI: http://scholarbank.nus.edu.sg/handle/10635/73544
ISBN: 0780392523
DOI: 10.1109/IECON.2005.1569264
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