Vibration-based damage detection in flexible risers using time series analysis

被引：0

作者：

Dept. of Civil and Earth Resources Eng., Kyoto University, Katsura Campus, Nishikyo-ku, Kyoto 615-8540, Japan ^{[1
]}

不详 ^{[2
]}

不详 ^{[3
]}

机构：

[1] Dept. of Civil and Earth Resources Eng., Kyoto University, Katsura Campus, Nishikyo-ku

[2] Deep Sea Technology Research Group, National Maritime Research Institute, Mitaka-shi, Tokyo 181-0004, 6-38-1, Shinkawa

[3] Marine Technology Research and Development Program, Marine Technology Center, JAMSTEC, Yokosuka 237-0061, 2-15, Natushima-cho

来源：

Doboku Gakkai Ronbunshuu A | 2007年 / 3卷 / 423-433期

关键词：

AR-ARX prediction model; Damage detection; Flexible riser; Time series analysis;

D O I：

10.2208/jsceja.63.423

中图分类号：

学科分类号：

摘要：

In this paper, a statistical pattern recognition method based on time series analysis is implemented in flexible risers. This method uses a combination of Auto-Regressive (AR) and Auto-Regressive with eXogenous inputs (ARX) prediction models. The flexible riser model used in this paper is experimentally validated employing a proposed numerical scheme for dynamic response of flexible risers. A modal-based damage detection approach is also implemented in the flexible riser model and its results are compared with the ones obtained from time series analysis. The numerical results show that the time series analysis presented in this paper is able to detect and locate structural deterioration related to fatigue damage in flexible risers. Finally, considering the case study results presented in this paper, the presented AR-ARX prediction model works better than the modal-based damage detection method.

引用

页码：423 / 433

页数：10

共 50 条

[1] Vibration-based damage detection in flexible risers usingtime series analysis
JSCE
不详
不详
不详
Struct Eng Earthquake Eng, 2007, 2 (62s-72s): : 62s - 72s
[2] Damage detection in flexible risers using statistical pattern recognition techniques
Riveros, Carlos Alberto
Utsunomiya, Tomoaki
Maeda, Katsuya
Itoh, Kazuaki
INTERNATIONAL JOURNAL OF OFFSHORE AND POLAR ENGINEERING, 2008, 18 (01) : 35 - 42
[3] Damage detection in flexible risers using statistical pattern recognition techniques
Riveros, Carlos Alberto
Utsunomiya, Tomoaki
Maeda, Katsuya
Itoh, Kazuaki
PROCEEDINGS OF THE SEVENTEENTH (2007) INTERNATIONAL OFFSHORE AND POLAR ENGINEERING CONFERENCE, VOL 1- 4, PROCEEDINGS, 2007, : 2746 - 2753
[4] Vibration-Based Damage Detection of Bridges under Varying Temperature Effects Using Time-Series Analysis and Artificial Neural Networks
Kostic, Branislav
Gul, Mustafa
JOURNAL OF BRIDGE ENGINEERING, 2017, 22 (10)
[5] Vibration-based damage detection in beams using genetic algorithm
Kim, Jeong-Tae
Park, Jae-Hyung
Yoon, Han-Sam
Yi, Jin-Hak
SMART STRUCTURES AND SYSTEMS, 2007, 3 (03) : 263 - 280
[6] Vibration-based damage detection in rotating machinery
Farrar, CR
Duffey, TA
DAMAS 99: DAMAGE ASSESSMENT OF STRUCTURES, 1999, 167-1 : 224 - 235
[7] Visualization of Structural Damage Detection Using Vibration-Based Identification Techniques
Nie Zhenhua
Ma Hongwei
ADVANCED SCIENCE LETTERS, 2011, 4 (8-10) : 3124 - 3130
[8] A probabilistic damage detection approach using vibration-based nondestructive testing
Huang, Qindan
Gardoni, Paolo
Hurlebaus, Stefan
STRUCTURAL SAFETY, 2012, 38 : 11 - 21
[9] Vibration-Based Damage Detection of the Reinforced Concrete Column
Lyapin, A.
Shatilov, Y.
2ND INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING (ICIE-2016), 2016, 150 : 1867 - 1871
[10] Development in vibration-based structural damage detection technique
Yan, Y. J.
Cheng, L.
Wu, Z. Y.
Yam, L. H.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2007, 21 (05) : 2198 - 2211

← 1 2 3 4 5 →