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208 / 2021-11-01 10:29:21
Research on Predictive Maintenance Strategy of Wind Turbine Based on Generalized Stochastic Differential Equation Model
预测性维修,基于时间的预测性维修,风电机组,基于状态的预测性维修
Renewable energy system > Renewable energy system planning, design, and operation
Final Paper
前 曹 / 兰州交通大学自动化与电气工程学院
宏升 苏 / 兰州交通大学
学乾 汪 / 兰州交通大学
Wind power generation technology is a clean energy power generation technology with broad prospects and great development potential. Because repairing wind turbines requires a lot of cost. Therefore, it is of great significance to find an effective maintenance strategy. Predictive maintenance is to prevent the system from malfunctioning by checking the equipment system or replacing it with a new one at a fixed time. In wind farms, traditional predictive maintenance is based on time. This method has a definite inspection rate, which allows maintenance to be planned, but it cannot accurately reflect the true state of the system, and it usually results in overmaintenance or under-maintenance. This paper combines the operating principles of wind turbines, establishes a generalized stochastic differential equation model based on the traditional ordinary differential equation model, and simulates and compares time-based preventive maintenance and conditionbased predictive maintenance based on actual operating data.
Important Date

  • Conference Date

    Jul 11

    2023

    to

    Aug 18

    2023

  • Nov 10 2021

    Draft paper submission deadline

  • Dec 10 2021

    Registration deadline

  • Dec 11 2021

    Contribution Submission Deadline

Sponsored By
IEEE IAS
Organized By
IEEE IAS Student Chapter of Southwest Jiaotong University (SWJTU)
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
IEEE PELS (Power Electronics Society) Student Chapter of HUST
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