摘要
针对齿轮箱振动信号中存在多源混合问题,提出基于时频掩蔽和振动特征的齿轮箱振源分离算法。算法的主要步骤为:首先通过短时傅里叶变换将时域信号转换为时频谱进行分析,通过最佳比率掩蔽获取齿轮啮合频率特征,其次采用寻峰算法获取混合信号中所有频率成分,结合故障频域特征进一步分离故障成分,通过理想比率掩蔽获取齿轮的调制特征,最后运用短时傅里叶逆变换恢复源信号。通过风电传动试验台信号和实际风电现场振动信号对算法进行验证,结果表明,在已知齿轮转速情况下,所提出的算法可以有效分离源信号并提取故障成分。
Here,aiming at the problem of multi-source mixing in gearbox vibration signals,a gearbox vibration source separation algorithm based on time-frequency masking and vibration signal features was proposed.Main steps of the algorithm were as follows:firstly,a time domain vibration signal was converted into a time-frequency spectrum using short-time Fourier transform for analysis,gear meshing frequency features were obtained with optimal ratio masking;then,the peak-seeking algorithm was used to obtain all frequency components in mixed signal,fault components were further separated combined with fault frequency domain features,gear modulation features were achieved through ideal ratio masking;finally,the inverse short-time Fourier transform was used to recover source signals.The algorithm was verified with wind-power transmission test rig signals and actual wind-power field vibration signals.The results showed that the proposed algorithm can effectively separate vibration source signals and extract fault components when gear rotating speed is known.
作者
张博
王罗
邹祖冰
滕伟
邓友汉
ZHANG Bo;WANG Luo;ZOU Zubing;TENG Wei;DENG Youhan(Key Laboratory of Power Station Energy Transfer Conversion and System,Ministry of Education,North China Electric Power University,Beijing 102206,China;China Three Gorges Corporation,Beijing 100038,China)
出处
《振动与冲击》
EI
CSCD
北大核心
2023年第15期73-82,共10页
Journal of Vibration and Shock
基金
国家自然科学基金(51775186)。
关键词
振源分离
齿轮故障特征
时频掩蔽
vibration source separation
gear fault features
time-frequency masking
作者简介
第一作者:张博,男,博士生,1997年生;通信作者:滕伟,男,教授,博士生导师,1981年生。
