多元组件风力轮机的基于条件的机会性维护策略,使用随机微分方程
Hongsheng Su1, Qian Cao2, Yuqi Li1
1School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, China.
Scientific reports
|January 29, 2024
概括
本研究介绍了风力轮机的新维护策略,以减少高故障率和成本. 基于条件的机会性维护模型通过分析操作数据和故障概率来优化维护.
科学领域:
- 工程 工程师 工程师 工程师
- 可靠性工程可靠性工程
- 维护策略 维护策略
背景情况:
- 风力轮机在恶劣的环境中运行,导致高故障率和维护成本.
- 复杂的组件结构加剧了风能系统的可靠性挑战.
- 现有的维护策略往往无法充分解决风力轮机退化的动态性质.
研究的目的:
- 为风力轮机开发一种新的基于条件的机会性维护策略.
- 解决风力轮机运营中高故障率和相关维护成本的问题.
- 整合运行时间和设备状态,以准确预测故障率.
主要方法:
- 开发了一个随机微分方程模型来模拟使用布朗运动的恶劣操作条件和随机干扰.
- 基于韦布尔分布建立了一个新的故障率模型,包括运行时间和设备状态.
- 使用高阶时刻和贝叶斯方法从监测数据中估计参数.
- 基于时间的维护和基于条件的维护的分析产生了机会和预防性维护门.
主要成果:
- 该研究成功地推导出了机会和预防性维护门曲线.
- 制定了一个全面的基于条件的机会性维护战略.
- 拟议的战略通过验证的算术示例证明了在改善风力轮机维护方面的有效性.
结论:
- 开发的基于条件的机会性维护策略有效地解决了风力轮机高故障率和成本的挑战.
- 整合运营数据和概率模型可以提高维护的规划和执行.
- 这些发现为优化风力轮机可靠性和运营效率提供了坚实的框架.
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