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 | Citation: | 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 |
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