The Damage Detection of Pressure Pipe Based on the Statistical Pattern Recognition Theory

Su Min Zhao; We She He; Shuang Mei Chang; Yu Qiang Cheng

doi:10.4028/www.scientific.net/AMR.955-959.3432

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 955-959The Damage Detection of Pressure Pipe Based on the...

The Damage Detection of Pressure Pipe Based on the Statistical Pattern Recognition Theory

Abstract:

Based on the statistical pattern recognition theory, the AMRA timing analysis methods are used in the article, through the combination of long autoregressive model residuals method and the least squares method the model parameters are estimated, and a system model is established. By using mean control chart method the vibration information and feature of the pressure pipe are extracted and selected, so whether the pressure pipes is damaged can be judged effectively. The simulation results show that structural abnormalities test method of the mean value ,which is Based on the recognition theory of statistical pattern, can accurately diagnose structural damage detection state ,the injury degree and damage location, it has a very strong sensitivity

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Periodical:

Advanced Materials Research (Volumes 955-959)

Pages:

3432-3436

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.955-959.3432

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Online since:

June 2014

Authors:

Su Min Zhao*, We She He, Shuang Mei Chang, Yu Qiang Cheng

Keywords:

AMRA Timing Analysis, Damage Detection, Eigen Values, Statistical Model

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* - Corresponding Author

References

[1] Chen Zhiwei, Based on statistical pattern recognition techniques structural abnormalities test [D]. Fuzhou University Master's Thesis, (2005).

Google Scholar

[2] Liu YI, Li Aiqun, Damage diagnosis method and its application based on the structural response [J]. Southeast University (Natural Science), 2010, 40（4）：810-815.

Google Scholar

[3] Birkenheuer G, Brnkmann A, Hogqvist M, et al. Infrastructure federation through virtualized delegation of resources and services[J]. J Grid Computing, 2011（9）：355-377.

DOI: 10.1007/s10723-011-9192-1

Google Scholar

[4] He Shuyuan. Application of Time Series Analysis [M] Beijing: Peking University Press, (2003).

Google Scholar

[5] Zhou Bingchang, Shi Yimin, Yu Lei. There is the overall mean control chart [J]. Kunming University of Science (Science and Technology), 2005, 30（3）：123-126.

Google Scholar

[6] Sergios Theodoridis, Konstantinos Koutroumbas. Pattern Recognition (second edition) [M]Li Jingjiao, Beijing: Electronic Industry Press, (2004).

Google Scholar