【摘要】 准确测量电力设备的各种运行参数,是电力设备在线监测系统进行故障诊断的重要前提,而各种干扰的存在严重地影响了测量精度。为消除测量中的干扰,文中提出了一种基于数据融合技术的数字滤波思想,推导了算术均值与递推估计相结合的数字滤波算法,该算法保留了测量数据的局部与全局特性,具有计算量少、速度快等特点。对变压器套管现场数据的处理结果验证了该算法的正确性。更多还原

【Abstract】 It is an important premise for power apparatus fault diagnosis by on-line monitoring system to accurately measure the operating parameters of power apparatus, but the measuring accuracy is seriously affected by various interference and disturbance. To eliminate the interference in the measurement, a digital filtering approach based on data fusion technology is presented and a corresponding digital filtering algorithm in which the arithmetic average and recurrence estimation are integrated is deduced. This algorithm remains the local and global characteristics of the measured data, and possesses the features such as less calculation amount and high calculation speed. The correctness of this algorithm is verified by the processing results of on-site data of transformer bushing.更多还原