中文摘要：

针对电能质量信号的去噪要求,结合模糊中值滤波算法和模糊均值滤波算法的优点,采用信息融合技术,利用模糊理论中的三角模算子将模糊均值滤波算法和模糊中值滤波算法的隶属度融合,并通过加权滤波的方法对信号进行去噪。实验结果表明,该方法克服了传统方法的缺点,能够在去噪的同时保留信号的突变点信息,适合对电能质量信号进行去噪,其算法设计简单、实用性强、有广阔的应用前景。

英文摘要：

　De-noising is necessary and important to power quality research. Because of the uncertainty of noise,the fuzzy theory has better effect than traditional methods. A novel de-noising algorithm based on information fusion technology is proposed in this paper. By the triangle module operator,the degree of membership of fuzzy median filter and that of fuzzy average filter are fused together. Then weighting filter noise is eliminated. This method can meet the requirements of power quality signals de-noising and combine the advantages of the fuzzy media filter and the fuzzy average filter. The test results prove that this method overcomes the traditional one＇sshortcomings and keeps the break points’ information while de-noising. So it suitable for deal with power quality signals. It is believed that it has wide application prospect.