基于风电场风力发电机组在线声纹识别技术与声振一体检测技术研究

Research on Online Voiceprint Recognition Technology and Sound-Vibration Integrated Detection Technology of Wind Turbines Based on Wind Farms

摘要: 本文针对风力发电机组基于声纹识别技术与声振一体检测技术，研究了一整套风机叶片综合监测系统。分别针对叶片内部缺陷、外部缺陷、机舱设备异常声音、轮毂设备异常声音展开综合监测诊断，实现早期缺陷的及时感知，及时预警，指导运维消缺。该系统可有效预防灾难性事故的发生，延长叶片使用寿命，降低人工维护工作量，进而降低风电场综合运维成本，提高风电场综合收益。

Abstract: In this paper, a complete set of comprehensive monitoring system for wind turbine blades based on voiceprint recognition technology and acoustic vibration integrated detection technology is studied. Comprehensive monitoring and diagnosis is carried out for internal defects of blades, external defects, abnormal sounds of engine room equipment, and abnormal sounds of hub equipment, so as to realize timely perception of early defects, timely warning, and guidance for operation and maintenance to eliminate defects. The system can effectively prevent the occurrence of catastrophic accidents, prolong the service life of blades, reduce the workload of manual maintenance, and then reduce the comprehensive operation and maintenance cost of wind farms and improve the comprehensive income of wind farms.