Spiral array design with particle swarm optimization

Chen, Rilin; Teng, P. K.; Yang, Yanchu

doi:10.1109/icspcc.2011.6061704

Cited by 4 publications

(1 citation statement)

References 10 publications

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“…The performance of the helical array can be further enhanced by using a multi-armed helical structure [33,34]. Based on our previous work [34], the 64-element multi-arm spiral microphone array has 8 arms.…”

Section: Microphone Array Optimizationmentioning

confidence: 99%

Localization of mechanical and electrical defects in dry-type transformers using an optimized acoustic imaging approach

Zhang,

Wang,

et al. 2023

PLoS ONE

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This paper presents an acoustic imaging localization system designed to pinpoint common defects in dry-type transformers by analyzing the unique sounds they produce during operation. The system includes an optimized microphone array and an improved multiple signal classification algorithm. Sound signal characteristics of typical defects, such as foreign object intrusion, screw loosening, and partial discharge, are investigated. A 64-element, 8-arm spiral microphone array is designed using a particle swarm optimization algorithm. The multiple signal classification algorithm enhances acoustic imaging quality in field environments by transforming the input from time-domain to preprocessed frequency-domain signals. The power spectra of subarray and main array are combined, forming the optimization algorithm’s output. Experimental results demonstrate the system’s effectiveness and accuracy.

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Section: Microphone Array Optimizationmentioning

confidence: 99%