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基于数据驱动的数据故障诊断模型

DOI: 10.3969/j.issn.1674-0696.2014.05.25, PP. 111-115

Keywords: 交通工程,数据驱动,小波阈值除噪,交通信息,主元分析,故障诊断,trafficengineering,data-driven,waveletthresholddenoising,trafficinformation,PrincipalComponentAnalysis(PCA),faultdiagnosis

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Abstract:

:?针对交通和桥梁监测的数据诊断过程中,噪声掩盖了部分故障信息以及故障信息分布的多尺度性,提出了一种基于数据驱动的数据故障诊断模型。以故障检测为目的,加入了一种改进的小波阈值除噪方法,去除大部分随机高频噪声,提高了数据置信度;将重构信号进行了多尺度小波包分解,结合小波包能量分析法和主元分析法完成了故障检测与故障分离。模型实际应用于桥梁挠度监测数据故障诊断,结果表明,该模型可以减小错报率和漏报率,抗噪能力更强。

References

[1]  [1]Qin S J,Badgwell T A.A survey of industrial model predictive control technology [J].Control Engineering Practice,2003,11(7):733-764.
[2]  [2]周东华.数据驱动的工业过程故障诊断技术[M].北京:科学出版社,2011:2-11.
[3]  Zhou Donghua.Data-Driven Industrial Process Fault Diagnosis Technology [M].Beijing:Science Press,2011:2-11.
[4]  [8]Joe Qin S.Statistical process monitoring:basics and beyond [J].Journal of Chemometrics,2003,17(8/9):480-502.
[5]  [9]夏陆岳,潘海天,周猛飞,等.基于改进多尺度主元分析的丙烯聚合过程监测与故障诊断[J].化工学报,2011,62(8):2312-2317.
[6]  Xia Luyue,Pan Haitian,Zhou Mengfei,et al.Process monitoring and fault diagnosis of propylene polymerization based on improved multiscale principal component analysis [J].Journal of Chemical Industry and Engineering,2011,62(8):2312-2317.
[7]  [3]Li Y.Fault detection and isolation based on abnormal sub-region using improved PCA [J].Journal of Chemical Engineering of Japan,2004,37(4):514-522.
[8]  [4]Bakshi B R.Multiscale PCA with application to multivariate statistical process monitoring [J].Aiche Journal,1998,44(7):1596-1610.
[9]  [5]赵瑞珍.小波理论及其在图像、信号处理中的算法研究[D].西安:西安电子科技大学,2001.
[10]  Zhao Ruizhen.Study on Wavelet Theory and Its Algorithms for Image and Signal Processing [D].Xi’an:Xidian University,2001.
[11]  [6]Donoho D L.De-noising by soft-thresholding [J].IEEE Transactions on Information Theory,1995,41(3):613-627.
[12]  [7]Peng C D W.Application of wavelet packet-energy spectrum in extracting the features of pulse signal [J].Electronic Technology,2010,1:19-20.

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