浙江电力2024，Vol.43Issue(1)：108-116,9.DOI:10.19585/j.zjdl.202401013
基于移动麦克风阵列的换流站异常声源定位方法
An approach for localizing abnormal sound sources in converter stations using mo-bile microphone arrays
摘要
Abstract
The acoustic signals generated by power equipment such as converter transformers and AC filters tend to contain crucial status information.Traditional methods relying on manual auscultation to locate equipment faults suf-fer from subjectivity,low efficiency,and limited reliability.Therefore,a novel approach is proposed,utilizing mo-bile microphone arrays for abnormal sound source localization.The derivation of the error formula for the translated short-time Fourier transform(STFT)quantitatively assesses the reasonable range of array movement speed and sam-pling time.In the frequency domain,a positional function relationship between the mobile microphone array and the sound source is established.Building upon this new function relationship,the traditional beamforming algorithm is optimized.A triangulation method is introduced to address the limitation of the beamforming algorithm,which can only determine direction,enabling precise localization of abnormal sound sources in converter stations.Based on on-site test data,a simulation model is constructed to validate the accuracy of the approach for localizing abnormal sound sources in converter stations using mobile microphone arrays.关键词
移动麦克风阵列/声源定位/换流站/智能巡检/波束形成Key words
mobile microphone arrays/sound source localization/converter station/intelligent inspection/beam-forming引用本文复制引用
方晓强,刘元庆,张啸天,孙其昊..基于移动麦克风阵列的换流站异常声源定位方法[J].浙江电力,2024,43(1):108-116,9.基金项目
国家自然科学基金资助项目(51107125) （51107125）
