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机构地区:[1]广西电网公司电力科学研究院,南宁市530023 [2]宁波理工监测科技股份有限公司,浙江省宁波市315800
出 处:《电力建设》2014年第10期43-46,共4页Electric Power Construction
基 金:南方电网公司科技项目(K-GX2014-020;K-GX2012-029)
摘 要:针对因监测装置现场干扰而出现色谱图曲线存在基线抖动,并导致色谱峰误识别和漏识别的问题,提出多参数权重比分析方法。通过计算得出峰偏移时间、峰型的半峰宽、峰型与标准峰的相似度以及峰高等特征参数,并进行归一化处理。同时,设置特征参数在不同条件下的权重比系数,并以峰型差异综合判断真假色谱峰。测试结果表明,该算法可规避现场干扰的影响,提高了低浓度气体峰检测的准确性,利于提高变压器油中溶解气体监测的可靠性。According to the problems of baseline jitter in chromatogram, errors or missing recognition in chromatographic peaks, which were caused by the field interference of monitoring device, this paper proposed an analysis method with multi-parameter weight. First, this paper calculated the offset time of peak, the half width of the peak shape, the similarity of the peak shape compared with the standard peak, the peak height and other characteristic parameters, and made normalization processing for these parameters. Meanwhile, this paper set the parameters of the right weight under different conditions, and comprehensively judged peak difference between true and false peaks. Test results show that the algorithm can avoid the impact of site disturbance and improve the accuracy of the peak detection for the gas with low concentrations, which can help improve the monitoring reliability of transformer oil dissolved gas.
分 类 号:TM855[电气工程—高电压与绝缘技术]
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