Noise Source Identification Applied in Electric Power Industry Using Microphone Arrays

Pengxiao Teng, Rilin Chen, Yichun Yang

Key Laboratory of Noise and Vibration Research, Chinese Academy of Sciences, Beijing, China.

DOI: 10.4236/eng.2013.51B028                

Abstract

The noise source identification is an important issue in noise reduction and condition monitoring(CM) for machines in- site using microphone arrays. In this paper, we propose a new approach to optimize array configuration based on particles swarm optimization algorithm in order to improve noise source identification and condition monitoring performance. Two distinct optimized array configurations are designed under the certain conditions. Furthermore, an acoustic imaging equipment is developed to carry out experiments on transformer substation equipment and wind turbine generator, which demonstrate that the acoustic imaging system allows a high resolution in identifying main noise sources for noise reduction and abnormal noise sources for condition monitoring.

Keywords

Noise Source Identification; Condition Monitoring; Noise Reduction; Microphone Array; Particle Swarm Optimization

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	A. Albarbar, F. Gu, A. Ball and A. Starr, “On Acoustic Measurement Based Internal Combustion Engines Con-dition Monitoring,”Journal of Non-destructive Testing Institution, Vol.50, 2008, pp. 30-34.
[2]	A. Albarbar, F. Gu and A. Ball,“Diesel engine fuel injection monitoring using acoustic measurements and independent compo-nent analysis,”Measurement, Vol.43, No.10, 2010, pp. 1376-1386.
[3]	J. Hald and J. J. Christensen, “A class of optimal broadband phased array geometries designed for easy construction,” Proceedings of Inter-Noise , 2002.
[4]	J. Hald and J. J. Christensen, “A novel beamformer array design for noise source location from intermediate measurement distances, ” Proceedings of Inter-Noise ,2002
[5]	J. Kennedy, “The PSO: social adaptation of knowledge,” in Proc IEEE Int. Conf. on Evolutionary Computation, 1997, pp. 303-308.
[6]	D. Mandal and S.Das, “Linear antenna array synthesis using novel particle swarm optimization”, IEEE Sympo-sium on Industrial Electronics and Applications, 2010.
[7]	Y. Shi and R. Eberhart, “Parameter selection in particle swarm optimization”, Proceedings of the 7th International Conference on Evolutionary Programming, 1447, 1998.
[8]	R. Chen and P. Teng, “Spiral array design with particle swarm optimization”, IEEE international conference on signal processing, communications and computing, 2011.