Research on fault early warning strategies and handling technologies for pitch systems
变桨系统故障预警策略与处理技术研究

摘要

风力发电作为清洁能源的核心支柱，其安全稳定运行对电网可靠性和经济效益至关重要。变桨系统是风电机组的核心执行机构，负责精准调节叶片桨距角以捕获最佳风能并确保机组安全，其运行状态直接影响发电效率与设备寿命。变桨系统结构复杂，工作环境恶劣，故障率高，一旦失效可能导致发电量损失甚至灾难性事故。因此，开发高效、精准的故障预警与处理技术成为风电运维领域的迫切需求。本研究聚焦于变桨系统关键部件的故障机理与特征信号，深入探讨基于多源信息融合的状态监测方法，构建智能预警模型，并提出针对性的故障诊断与快速处理策略。研究旨在突破传统事后维修的局限，实现从被动响应向主动预防的转变，提升风电机组的可利用率和运行可靠性。

Abstract

As a core pillar of clean energy, wind power generation plays a crucial role in ensuring the reliability and economic efficiency of the power grid. The pitch system, serving as a key executive mechanism of wind turbines, is responsible for precisely adjusting the blade pitch angle to capture optimal wind energy and ensure operational safety. Its performance directly affects power generation efficiency and equipment lifespan. However, due to its complex structure and harsh operating environment, the pitch system has a relatively high failure rate; once a malfunction occurs, it can lead to power losses or even catastrophic accidents. Therefore, developing efficient and accurate fault early warning and handling technologies has become an urgent demand in the field of wind power operation and maintenance. This study focuses on the fault mechanisms and characteristic signals of key components within the pitch system. It explores state monitoring methods based on multi-source information fusion, constructs intelligent early warning models, and proposes targeted fault diagnosis and rapid handling strategies. The research aims to overcome the limitations of traditional post-failure maintenance by enabling a shift from passive response to proactive prevention, thereby enhancing the availability and operational reliability of wind turbines.