Independent Component Analysis of Excavator Noise

  • Guohao Zhang
  • Qiangen Chen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7390)


To identify excavator noise sources, an acoustic camera was used to acquire sound signals, and FastICA was applied to separate the signals. For strong background noise and echoic interference, the noise separation model was built based on FastICA algorithm in frequency-domain, then principle frequencies were obtained. To find the corresponding parts of these frequencies, modal analysis of major surface parts of the diesel was run in Ansys, and the modal analysis results were compared with principle frequencies. Research shows that ICA can effectively separate excavator sound signals contaminated by strong background noise and echoic interference; and the surface noise radiation sources such as cylinder block, cylinder head and valve cover were found by comparing component principle frequencies and modal analysis results.


Excavator independent component analysis modal analysis convolutive mixture 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Guohao Zhang
    • 1
    • 2
  • Qiangen Chen
    • 1
    • 2
  1. 1.National Key Laboratory of High performance and Complex ManufacturingChina
  2. 2.Department of Mechanical and Electrical EngineeringCentral South UniversityChangshaChina

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