Blind Separation of Excavator Noise Signals in Frequency Domain
In order to identify noise sources of an excavator in non-library environment, a complex-valued algorithm in frequency domain was applied. Firstly, an acoustic camera was used to acquire excavators noise signals, which were convolutive mixtures in time domain interfered by echo. Secondly, signals in time domain transformed into frequency domain by FT, turned to be complex-valued mixtures. Then, independent components of noise signals were obtained through separation of complex-valued mixtures using complex-valued algorithm based on independent component analysis. Finally, according to noise of diesel with muffler was mainly consist of surface noise, the relationship between principal frequencies and structrual parts was founded by comparing frequency-amplitude spectra and modal analysis in Ansys. Research shows that complex-valued algorithm based on fast fixed-point independent component analysis can effectively separate noise signals from an excavator in time domain, and noise sources can be well ascertained by comparing the modal analysis with blind separation components.
Excavator Independent component analysis Noise Modal analysis
Li Da Liao Qing Hua He Zhong Lin Hu
Department of Mechanical and Electrical Engineering, Central South University,China Hunan Sunward Intelligent Equipment Co.LTD, China
国际会议
上海
英文
723-728
2011-10-21（万方平台首次上网日期，不代表论文的发表时间）