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作 者:陈静 吴晓文 曹浩 CHEN Jing;WU Xiaowen;CAO Hao(Qinghai Chemical Engineering Design&Research Institute Co.,Ltd.,Xining,Qinghai 810008,China;Hunan University of Science and Technology,Xiangtan,Hunan 411201,China;Electric Power Research Institute of State Grid Hunan Electric Power Co.,Ltd.,Changsha,Hunan 410007,China)
机构地区:[1]青海省化工设计研究院有限公司,青海西宁810008 [2]湖南科技大学,湖南湘潭411201 [3]国网湖南省电力有限公司电力科学研究院,湖南长沙410007
出 处:《广东电力》2022年第8期113-121,共9页Guangdong Electric Power
基 金:国家自然科学基金项目(51877168)。
摘 要:户外变压器噪声检测结果易受突发间歇性外界环境噪声干扰,为提高变压器噪声测量准确性,提出基于小波包分解与谱减法语音增强技术相结合的变压器噪声抗干扰检测方法。采用小波包分解算法将变压器声信号时频分解,根据分解结果定位干扰噪声所在时刻与频段,对带噪频段小波包信号进行谱减法语音处理,利用小波包重构算法还原出纯净变压器声信号。仿真分析不同干扰源特性与信噪比条件下变压器噪声抗干扰检测效果,对比研究不同抗干扰检测方法对现场实测受干扰变压器信号的处理结果。研究表明,该方法能够有效抑制多种不同特性的突发间歇外环境噪声对变压器噪声测量结果的干扰,在较高的信噪比范围内噪声检测误差稳定维持在1.0 dB范围内,与低通滤波、短时窗法的对比分析表明该方法在变压器噪声抗干扰检测方面具有优越性。Transformer noise detection result is commonly affected by the burst intermittent environmental noises.In order to enhance the transformer noise detection accuracy,this paper proposes an anti-interference method based on wavelet packet decomposition(WPD)and spectral subtraction algorithm.It uses the wavelet packet decomposition method for time-frequency decomposition of the transformer noise signals.According to the decomposition results,it locates the occurring time and frequency bands of the noisy signals.In these bands,the noisy signals are further processed by spectral subtraction method(SSM),and the pure transformer noise is obtained with wavelet packet reconstruction.The paper also analyzes the anti-interference effects of transformer noises in the conditions of various interference sources and signal to noise ratios(SNRs)by simulation,and compares different treatment results of different anti-interference methods.The result shows that the proposed method is effective in restraining the influence of diverse burst intermittent environmental noises on the transformer noise detection result.The noise detection error is less than 1.0 dB in high SNR conditions.Comparisons between anti-interference methods of low-pass filter and short-time frame verify the advantages of the proposed method on field transformer noise test.
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