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107 / 2025-05-15 10:47:18
Doubly-fed wind turbine nacelle acoustic vibration fusion monitoring and fault diagnosis
Acoustic-vibration fusion, doubly-fed wind turbines, spectral similarity, fault diagnosis
System Monitoring, Fault Diagnosis and Prediction
Final Paper
Hongwei Xin / Northeast Electric Power University
Hangjian Shang / Northeast Electric Power University
Xuefei Zhang / Northeast Electric Power University
Wei Liu / State Power Investment Corporation Xinjiang Hami Energy Co.Ltd
Wei Xu / Guoneng Changzhou Secondary Power Generation Co.Ltd
Guoxing Wu / Guoneng Changzhou Secondary Power Generation Co.Ltd
Haiming Niu / National Energy Zhishen Control Technology Co.Ltd
风力涡轮机的声型监测具有直观和非接触式的优点，但容易受到噪声干扰。为此，本文提出了一种基于声学和振动信息融合的传动系统故障诊断方法。首先，在双馈风力发电机的机舱内布置3个振动传感器和 3 个声学传感器，分别收集来自主轴、变速箱和偏航减速器的振动信息，以及机舱和偏航平台中的声学信息。构建了一种基于传动系统频谱相似性的声-振动信息融合方法，结合时域、频谱和包络分析，揭示了各部件的运行状态和潜在故障特性。结果表明，声-振动融合监测提高了传动系统故障诊断的可靠性，为类似单元中的连续故障监测和独立声型监测应用奠定了基础。
Important Date

  • Conference Date

    Aug 01

    2025

    to

    Aug 04

    2025

  • Aug 20 2025

    Draft paper submission deadline

Sponsored By
中国机械工程学会设备智能运维分会
Organized By
新疆大学
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