首页|基于希尔伯特变换的风电机组齿轮箱故障诊断方法研究

基于希尔伯特变换的风电机组齿轮箱故障诊断方法研究

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齿轮箱作为风电机组关键部件,由于运行环境以及工况的复杂性,易出现故障,严重威胁机组安全稳定运行.因此,对齿轮箱进行故障诊断对确保风电机组稳定运行具有重要意义.在介绍齿轮箱结构特点、故障模式、振动监测的基础上,结合齿轮箱结构特点,给出齿轮与轴承故障特征频率的计算方法.同时采用希尔伯特变换与倒谱分析相结合的方法对齿轮箱振动数据进行分析,提取故障特征频率.经实例验证,该方法能够准确得到齿轮箱故障频率的同时定位齿轮箱故障,实现风电机组齿轮箱的故障诊断.
Research on Gearbox Fault Diagnosis Method of Wind Turbine Based on Hilbert Transform
As the key component of wind turbine,the gearbox is prone to failure due to the complexity of the operating environment and working conditions,which seriously threatens the safe and stable operation of the wind turbine.Therefore,the fault diagnosis of the gearbox is of great significance to ensure the stable operation of the wind turbine.On the basis of introducing the structural characteris-tics,failure modes and vibration monitoring of the gearbox,combined with the structural characteristics of the gearbox,the calculation method of the fault characteristic frequency of gears and bearings was given.At the same time,the combination of Hilbert transform and cepstrum analysis was used to analyze the vibration data of the gearbox,and the fault characteristic frequency was extracted.It is verified by an example that the method can be used to accurately obtain the fault frequency of the gearbox and locate the fault of the gearbox,so as to realize the fault diagnosis of the gearbox of the wind turbine.

gearboxwind turbinefault diagnosis,vibration monitoring

高宏伟、李新成、何晓宁、刘长安、王瀚驰、李文成、张宝慧

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青岛农业大学机电工程学院,山东青岛 266109

华能新能源股份有限公司山西分公司,山西太原 030002

齿轮箱 风电机组 故障诊断 振动监测

青岛农业大学高层次人才启动基金

1117010

2024

机床与液压
中国机械工程学会 广州机械科学研究院有限公司

机床与液压

CSTPCD北大核心
影响因子:0.32
ISSN:1001-3881
年,卷(期):2024.52(9)