摘要
风力发电机作为清洁能源系统的重要组成部分,其运行稳定性直接影响发电效率与运维成本。本文通过分析关键部件的初发故障机理,设计了分层架构的在线监测系统,构建了故障演化趋势预测模型,提出了动态预警阈值与分级策略,并实现了基于多模态信息的融合预警,期望为风电设备的智能化运维提供一定的技术支撑。
As an important component of clean energy systems,the operational stability of wind turbines directly affects power generation efficiency and operation and maintenance costs.This paper presents an online monitoring system with hierarchical architecture by analyzing the initial failure mechanism of key components.In terms of early warning technology,a fault evolution trend prediction model was constructed,a dynamic early warning threshold and classification strategy were proposed,and a fusion early warning based on multimodal information was achieved.These efforts aim to provide technical support for the intelligent operation and maintenance of wind power equipment.
出处
《自动化博览》
2025年第9期98-101,共4页
Automation Panorama
关键词
风力发电机本体
初发故障
在线诊断预警
关键技术
Wind turbine body
Initial fault
Online diagnosis and earlywarning
Keytechnologies
