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http://dx.doi.org/10.5762/KAIS.2018.19.9.316

Development of SaaS cloud infrastructure to monitor conditions of wind turbine gearbox  

Lee, Gwang-Se (Wind Energy Laboratory, Korea Institute of Energy Research)
Choi, Jungchul (Wind Energy Laboratory, Korea Institute of Energy Research)
Kang, Seung-Jin (Wind Energy Laboratory, Korea Institute of Energy Research)
Park, Sail (Wind Energy Laboratory, Korea Institute of Energy Research)
Lee, Jin-jae (Wind Energy Laboratory, Korea Institute of Energy Research)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.19, no.9, 2018 , pp. 316-325 More about this Journal
Abstract
In this paper, to integrate distributed IT resources and manage human resource efficiently as purpose of cost reduction, infrastructure of wind turbine monitoring system have been designed and developed on the basis of SaaS cloud. This infrastructure hierarchize data according to related task and services. Softwares to monitor conditions via the infrastructure are also developed. Softwares are made up of DB design, field measurement, data transmission and monitoring programs. The infrastructure is able to monitor conditions from SCADA data and additional sensors. Total time delay from field measurement to monitoring is defined by modeling of step-wise time delay in condition monitoring algorithms. Since vibration data are acquired by measurements of high resolution, the delay is unavoidable and it is essential information for application of O&M program. Monitoring target is gearbox in wind turbine of MW-class and it is operating for 10 years, which means that accurate monitoring is essential for its efficient O&M in the future. The infrastructure is in operation to deal with the gearbox conditions with high resolution of 50 TB data capacity, annually.
Keywords
wind turbine; gearbox; condition monitoring system; vibration; SaaS; big data;
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