On-line noise source identification based on the power spectrum estimation and grey relational analysis

The identification of acoustic source accurately is a fundamental problem in noise control. In the practical project, if the contribution of multi-source-noise to the whole was identified, and then the noise level can be reduced accordingly. This paper presents a new approach to acoustic noise identification by introducing modern spectrum estimation and grey relational analysis (GRA). Modern spectrum was used to recognize the main noise source and GRA was used to recognize the similarity among different curves of power spectrum. The ranking of the noise sources was obtained on the basis of their individual contribution to the overall noise. The results of simulation signals confirmed the feasibility and validity of the method proposed in this dissertation and it will play an important role in noise control, signal source identification and other fields.