| An Efficient Condition Monitoring Approach for Wind Turbines using SCADA Data |
| کد مقاله : 1579-ISME2026 |
| نویسندگان |
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Sepideh Faghihnia Torshizi1، محمدمهدی خطیبی *2، Abdollah Malekjafarian3، Ehsan Mohammadi4، Mohammad Reza Ashory1 1Faculty of Mechanical Engineering, Semnan University, Semnan, Iran 2دانشگاه سمنان 3School of Civil Engineering, University College Dublin, Dublin, Ireland 4Iran University of Science and Technology, Tehran, Iran, |
| چکیده مقاله |
| Renewable energies regarded as the optimal solution to address the escalating energy demands. Among the renewable energy sources, wind energy has emerged as one of the most rapidly expanding, utilized globally for electricity generation. However, cost of operation and maintenance has been always one of the main challenges. In the context of the wind industry, the implementation of a comprehensive and effective condition monitoring system is paramount to minimize maintenance expenditures and enhance reliability. In this study, a pragmatic methodology proposed that uses SCADA data collected during normal state of an operating wind turbine for the purpose condition monitoring in the monitoring state. A unique feature of the proposed methodology is that it can distinguish between the sensor faults and the component faults. This means that the proposed could prevent the occurrence of false alarms during condition monitoring which is an important challenge in wind turbines operation and maintenance. |
| کلیدواژه ها |
| Wind turbine, Condition monitoring, Normal behavior model, Sensor fault diagnostic |
| وضعیت: پذیرفته شده برای ارائه شفاهی |