基于多参数权重分析的油中溶解气体色谱峰识别
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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.
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.
引文
[1]赵笑笑,云玉新,陈伟根.变压器油中溶解气体的在线监测技术评述[J].电力系统保护与控制2009,37(23):187-191.
[2]李红雷,张光福,刘先勇,等.变压器在线监测用的新型油气分离膜[J].清华大学学报:自然科学版,2005,45(10):1301-1304.
[3]肖燕彩,朱衡君,张霄元.基于溶解气体分析的电力变压器在线监测与诊断技术[J].电力自动化设备,2006,26(6):93-96.
[4]廖怀东,李海威.变压器油色谱分析及故障判断[J].电力建设,2003,24(10):25-26,29.
[5]张钰宁,程养春,田野,等.基于油色谱数据的变压器可靠度评估方法(英文)[J].电力科学与工程,2013,29(7):1-6.
[6]焦振毅,任建文,陈鹏.基于模糊理论的变压器故障诊断模型研究[J].电力科学与工程,2012,28(6):39-43.
[7]黄新波,宋桐,王娅娜,等.基于贝叶斯和模糊L-M网络的变压器故障诊断[J].电力建设,2014,35(2):1-6.
[8]荣经国,郑玲.多源信息融合技术在变压器故障诊断中的应用[J].电力科学与工程,2013,29(11):21-26.
[9]袁红波,王红斌.高压设备绝缘在线监测影响因素分析[J].华北电力技术,2002(6):41-43.
[10]刘云鹏,律方成,李成榕,等.形态学一小波综合滤波器抑制局放现场干扰[J].高电压技术,2004,30(2):29-31.
[11]胡劲松,鲍吉龙,周方吉,等.基于模式匹配的变压器色谱峰辨识算法[J].电力系统自动化,2005,29(21):85-87.
[12]罗荣模,王泳涛.色谱工作站中谱峰识别的设计与实现[J].中国计量学院学报,2003,14(1):24-28.
[13]胡劲松,周方洁,鲍吉龙,等.基于模糊隶属函数的变压器色谱峰定性算法[J].电力系统自动化,2005,29(18):70-72.
[14]曹建,范竞敏,安晨光.灰色关联度分析在变压器油色谱峰辨识中的应用[J].电网技术,2010,34(7):206-210.
[2]李红雷,张光福,刘先勇,等.变压器在线监测用的新型油气分离膜[J].清华大学学报:自然科学版,2005,45(10):1301-1304.
[3]肖燕彩,朱衡君,张霄元.基于溶解气体分析的电力变压器在线监测与诊断技术[J].电力自动化设备,2006,26(6):93-96.
[4]廖怀东,李海威.变压器油色谱分析及故障判断[J].电力建设,2003,24(10):25-26,29.
[5]张钰宁,程养春,田野,等.基于油色谱数据的变压器可靠度评估方法(英文)[J].电力科学与工程,2013,29(7):1-6.
[6]焦振毅,任建文,陈鹏.基于模糊理论的变压器故障诊断模型研究[J].电力科学与工程,2012,28(6):39-43.
[7]黄新波,宋桐,王娅娜,等.基于贝叶斯和模糊L-M网络的变压器故障诊断[J].电力建设,2014,35(2):1-6.
[8]荣经国,郑玲.多源信息融合技术在变压器故障诊断中的应用[J].电力科学与工程,2013,29(11):21-26.
[9]袁红波,王红斌.高压设备绝缘在线监测影响因素分析[J].华北电力技术,2002(6):41-43.
[10]刘云鹏,律方成,李成榕,等.形态学一小波综合滤波器抑制局放现场干扰[J].高电压技术,2004,30(2):29-31.
[11]胡劲松,鲍吉龙,周方吉,等.基于模式匹配的变压器色谱峰辨识算法[J].电力系统自动化,2005,29(21):85-87.
[12]罗荣模,王泳涛.色谱工作站中谱峰识别的设计与实现[J].中国计量学院学报,2003,14(1):24-28.
[13]胡劲松,周方洁,鲍吉龙,等.基于模糊隶属函数的变压器色谱峰定性算法[J].电力系统自动化,2005,29(18):70-72.
[14]曹建,范竞敏,安晨光.灰色关联度分析在变压器油色谱峰辨识中的应用[J].电网技术,2010,34(7):206-210.