摘要详情

ID / 提交时间

208 / 2021-11-01 10:29:21

标题

Research on Predictive Maintenance Strategy of Wind Turbine Based on Generalized Stochastic Differential Equation Model

关键字

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

主题及专题

Renewable energy system > Renewable energy system planning, design, and operation

状态

终稿

作者

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

摘要

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.

重要日期

会议日期

07月11日

2023

至

08月18日

2023
11月10日 2021

初稿截稿日期
12月10日 2021

注册截止日期
12月11日 2021

报告提交截止日期

主办单位

IEEE IAS

承办单位

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