Noise Source Identification Applied in Electric Power Industry Using Microphone Arrays - Engineering

ENG > Vol.5 No.1, January 2013

Noise Source Identification Applied in Electric Power Industry Using Microphone Arrays ()

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Download as PDF (Size: 359KB) PP. 152-156

DOI: 10.4236/eng.2013.51B028 5,611 Downloads 7,289 Views Citations

Author(s)

Pengxiao Teng, Rilin Chen, Yichun Yang

Affiliation(s)

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

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

Share and Cite:

P. Teng, R. Chen and Y. Yang, "Noise Source Identification Applied in Electric Power Industry Using Microphone Arrays," Engineering, Vol. 5 No. 1B, 2013, pp. 152-156. doi: 10.4236/eng.2013.51B028.

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