Article(id=1221467201123565999, tenantId=1146029695717560320, journalId=1210938733613449225, issueId=1221467200582500783, articleNumber=null, orderNo=null, doi=10.19666/j.rlfd.202208225, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1660838400000, receivedDateStr=2022-08-19, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1769150074511, onlineDateStr=2026-01-23, pubDate=1684944000000, pubDateStr=2023-05-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769150074511, onlineIssueDateStr=2026-01-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769150074511, creator=13701087609, updateTime=1769150074511, updator=13701087609, issue=Issue{id=1221467200582500783, tenantId=1146029695717560320, journalId=1210938733613449225, year='2023', volume='52', issue='5', pageStart='1', pageEnd='166', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769150074382, creator=13701087609, updateTime=1769157444393, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1221498112716226774, tenantId=1146029695717560320, journalId=1210938733613449225, issueId=1221467200582500783, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1221498112716226775, tenantId=1146029695717560320, journalId=1210938733613449225, issueId=1221467200582500783, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=8, endPage=13, ext={EN=ArticleExt(id=1221467201404584371, articleId=1221467201123565999, tenantId=1146029695717560320, journalId=1210938733613449225, language=EN, title=Research on processing method of undersampling signals in turbine tests, columnId=1221467201333281201, journalTitle=Thermal Power Generation, columnName=Special topics on safe operation, fault diagnosis and treatment technology of power generation equipment, runingTitle=null, highlight=null, articleAbstract=

During signal sampling process of steam turbine digital electric hydraulic control system (DEH) tests, situations that the instrument can not meet the requirements of Nyquist sampling due to the frequency of the primary components is over high may occur. To solve this problem, the envelope of the signal is calculated through Hilbert transform, and the valve closing time is calculated according to the envelope signal. However, the calculation accuracy is limited due to the time interval of the peak points. To improve the calculation accuracy, the undersampled signal is reconstructed, the primary frequency is analyzed by using fast Fourie transform (FFT), and the primary frequency of the signal is determined based on the nature of the frequency domain. On this basis, the initial phase of the AC signals is calculated using the initial value, and the undersampled signals is reconstructed according to the frequency and initial phase. The closing time is calculated according to the difference between the reconstructed and sampled signals based on Akaike information criterion (AIC). In comparison with the Hilbert transform method, the reconstruction method can improve the calculation accuracy. The reconstruction and analysis method can be used in all kinds of undersampled periodic signals, which can make up the shortcomings of hardware in DEH tests.

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在汽轮机数字电液控制(DEH)系统试验的信号采集过程中,可能会碰到信号主要成分的频率过高,仪器无法满足奈奎斯特采样定律的情况。针对这一问题,通过希尔伯特变换构造解析信号的方法得到了信号的包络图,并根据包络信号对阀门的关闭时间进行了计算。考虑到基于信号包络线的计算方法计算精度受峰值点的时间间隔影响,为了提高计算精度,对欠采样信号进行了重构,通过快速傅里叶变换(FFT)对信号的主频率进行了分析,根据频域周期性延拓的性质确定了信号的主频率。在此基础上,根据信号初始值计算出了信号的初始相位,结合信号频率与初始相位对欠采样信号进行了重构。根据重构信号与实际信号差值,应用赤池信息(AIC)准则获取极值点的方法对阀门关闭时间进行了计算。比较2种方法的结果可知,通过信号重构的方法计算精度明显优于希尔波特变换求包络法,该研究结果可用于各类单频率成分的欠采样信号的重构,可以弥补DEH试验中硬件无法满足采样定理的不足。

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梅益铭(1990),男,博士,工程师,主要研究方向为汽轮机DEH系统及检测,

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汽轮机试验欠采样信号的处理方法研究
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梅益铭 1 , 黄伟迪 2 , 顾伟飞 1 , 朱宝 1 , 陈杰 1
热力发电 | 发电设备安全运行、故障诊断及治理技术专题 2023,52(5): 8-13
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热力发电 | 发电设备安全运行、故障诊断及治理技术专题 2023, 52(5): 8-13
汽轮机试验欠采样信号的处理方法研究
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梅益铭1 , 黄伟迪2, 顾伟飞1, 朱宝1, 陈杰1
作者信息
  • 1.浙江省火力发电高效节能与污染物控制技术研究重点实验室,浙江 杭州 311100
  • 2.浙江大学机械工程学院,浙江 杭州 310027
  • 梅益铭(1990),男,博士,工程师,主要研究方向为汽轮机DEH系统及检测,

Research on processing method of undersampling signals in turbine tests
Yiming MEI1 , Weidi HUANG2, Weifei GU1, Bao ZHU1, Jie CHEN1
Affiliations
  • 1.Zhejiang Key Laboratory of Energy Efficiency and Pollutant Control Technology for Thermal Power Generation, Hangzhou 311100, China
  • 2.Mechanical Engineering Institute of Zhejiang University, Hangzhou 310027, China
出版时间: 2023-05-25 doi: 10.19666/j.rlfd.202208225
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在汽轮机数字电液控制(DEH)系统试验的信号采集过程中,可能会碰到信号主要成分的频率过高,仪器无法满足奈奎斯特采样定律的情况。针对这一问题,通过希尔伯特变换构造解析信号的方法得到了信号的包络图,并根据包络信号对阀门的关闭时间进行了计算。考虑到基于信号包络线的计算方法计算精度受峰值点的时间间隔影响,为了提高计算精度,对欠采样信号进行了重构,通过快速傅里叶变换(FFT)对信号的主频率进行了分析,根据频域周期性延拓的性质确定了信号的主频率。在此基础上,根据信号初始值计算出了信号的初始相位,结合信号频率与初始相位对欠采样信号进行了重构。根据重构信号与实际信号差值,应用赤池信息(AIC)准则获取极值点的方法对阀门关闭时间进行了计算。比较2种方法的结果可知,通过信号重构的方法计算精度明显优于希尔波特变换求包络法,该研究结果可用于各类单频率成分的欠采样信号的重构,可以弥补DEH试验中硬件无法满足采样定理的不足。

欠采样信号  /  频谱延拓  /  信号重构  /  AIC  /  希尔伯特变换

During signal sampling process of steam turbine digital electric hydraulic control system (DEH) tests, situations that the instrument can not meet the requirements of Nyquist sampling due to the frequency of the primary components is over high may occur. To solve this problem, the envelope of the signal is calculated through Hilbert transform, and the valve closing time is calculated according to the envelope signal. However, the calculation accuracy is limited due to the time interval of the peak points. To improve the calculation accuracy, the undersampled signal is reconstructed, the primary frequency is analyzed by using fast Fourie transform (FFT), and the primary frequency of the signal is determined based on the nature of the frequency domain. On this basis, the initial phase of the AC signals is calculated using the initial value, and the undersampled signals is reconstructed according to the frequency and initial phase. The closing time is calculated according to the difference between the reconstructed and sampled signals based on Akaike information criterion (AIC). In comparison with the Hilbert transform method, the reconstruction method can improve the calculation accuracy. The reconstruction and analysis method can be used in all kinds of undersampled periodic signals, which can make up the shortcomings of hardware in DEH tests.

undersampling signals  /  spectrum extension  /  signal reconstruction  /  AIC  /  Hilbert transform
梅益铭, 黄伟迪, 顾伟飞, 朱宝, 陈杰. 汽轮机试验欠采样信号的处理方法研究. 热力发电, 2023 , 52 (5) : 8 -13 . DOI: 10.19666/j.rlfd.202208225
Yiming MEI, Weidi HUANG, Weifei GU, Bao ZHU, Jie CHEN. Research on processing method of undersampling signals in turbine tests[J]. Thermal Power Generation, 2023 , 52 (5) : 8 -13 . DOI: 10.19666/j.rlfd.202208225
  • 国家自然科学基金项目(52105075)
  • 浙江省自然科学基金项目(LQ21E050022)
2023年第52卷第5期
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doi: 10.19666/j.rlfd.202208225
  • 接收时间:2022-08-19
  • 首发时间:2026-01-23
  • 出版时间:2023-05-25
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  • 收稿日期:2022-08-19
基金
National Natural Science Foundation of China(52105075)
国家自然科学基金项目(52105075)
Natural Science Foundation of Zhejiang Province(LQ21E050022)
浙江省自然科学基金项目(LQ21E050022)
作者信息
    1.浙江省火力发电高效节能与污染物控制技术研究重点实验室,浙江 杭州 311100
    2.浙江大学机械工程学院,浙江 杭州 310027
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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