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机构地区:[1]上海电力大学电子与信息工程学院,上海200090
出 处:《科技创新与应用》2021年第1期142-144,共3页Technology Innovation and Application
摘 要:周期性窄带干扰抑制方法直接影响提取或恢复的真实放电脉冲信号的精度,放电脉冲精度则是局部放电实时监测及识别的关键,对电力设备及其安全稳定运行具有重要意义。按是否利用信号频谱特性将窄带干扰抑制方法划分为两大类,并分别阐述了目前各代表性算法的原理及优缺点,最后展望了未来趋势的新目标。The periodic narrow-band interference suppression method directly affects the accuracy of the real discharge pulse signal extracted or recovered.The accuracy of the discharge pulse is the key to real-time monitoring and identification of partial discharges,which is of great significance to the safe and stable operation of power equipment and its safety.The narrowband interference suppression methods are divided into two categories according to whether the signal spectrum characteristics are used or not,and the principles,advantages and disadvantages of each representative algorithm at present are expounded respectively.Finally new targets for future trends are prospected.
分 类 号:TM835[电气工程—高电压与绝缘技术]
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