Abstract
In order to resolve existing problems such as low efficiency, high cost and lack of technical resource in current maintenance, it is necessary to realize remote diagnosis for hydroelectric generating sets (HGSs). In this work, basing on the Service-Oriented Architecture (SOA) and Web Services technology, a SOA-oriented E-diagnostics system for HGSs (HGS-SES) is proposed, the framework of HGS-SES is constructed, a layout of the system’s hardware settings is described, the key modules of the system and a specific diagnostic procedure are given. HGS-SES makes rapid and convenient information transmission for services function and diagnosis decision-making, develops a dynamic network diagnostic platform for HGSs, and has broad prospects for farther research.
This work is supported by the Important Project of National Natural Science Foundation of China (NSFC) (No.: 50539140), the Project of National Natural Science Foundation of China (NSFC) (No.:50579022), and the research funds of University and college PhD discipline of China (No.:20050487062).
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Zhan, L., Zhang, Y., Zhou, J., Peng, Y., Li, Z. (2007). Design of a SOA-Oriented E-Diagnostics System for Hydroelectric Generating Sets. In: Okuno, H.G., Ali, M. (eds) New Trends in Applied Artificial Intelligence. IEA/AIE 2007. Lecture Notes in Computer Science(), vol 4570. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73325-6_41
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DOI: https://doi.org/10.1007/978-3-540-73325-6_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73322-5
Online ISBN: 978-3-540-73325-6
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