DAMAGE IDENTIFICATION OF THE FLOATING WIND TURBINE MOORING LINE BY FUZZY CLASSIFICATION

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

JAMALKIA AYSAN; ETTEFAGH MIR MOHAMMAD; Mojtahedi Alireza

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF MARINE ENGINEERING Year:2015 | Volume:11 | Issue:21 Page(s): 41-56

Download Full-Text

Persian Verion

View:

782

Download:

Cites:

Information Journal Paper

Title

DAMAGE IDENTIFICATION OF THE FLOATING WIND TURBINE MOORING LINE BY FUZZY CLASSIFICATION

Author(s)

JAMALKIA AYSAN | ETTEFAGH MIR MOHAMMAD | Mojtahedi Alireza | Issue Writer Certificate

Keywords

FLOATING WIND TURBINEQ1

DAMAGE IDENTIFICATIONQ1

DYNAMIC SIMULATIONQ2

3D MULTI-BODY SYSTEMQ2

FUZZY CLASSIFICATIONQ2

Abstract

Structural health monitoring is essential for ensuring the structural safety performance during the service life. The process is of paramount importance in case of the FLOATING WIND TURBINE due to the structural parts subjected to the marine environmental risky conditions. In this paper a fuzzy-based DAMAGE IDENTIFICATION method using dynamic response of the Spar FLOATING WIND TURBINE has been proposed. In the first step, the nonlinear equations of motion of the FLOATING WIND TURBINE system derived using the theorem of conservation of angular momentum and Newton’s second law. Then the variation values of the frequency characteristics of the structure in each DOFs due to stiffness changes of mooring lines (simulated damage) are considered as input features to the fuzzy system. Also the fuzzy system was trained based on calibrating of the membership functions by defining the damage classes properly. For validating the proposed method, noise with different SNRs was contaminated to the measured features and the success rate of the damage detection was calculated. The results showed that the proposed method is able to identify the damage classes with acceptable success rate.

Cites

No record.

References

No record.

Cite

APA: Copy

JAMALKIA, AYSAN, ETTEFAGH, MIR MOHAMMAD, & Mojtahedi, Alireza. (2015). DAMAGE IDENTIFICATION OF THE FLOATING WIND TURBINE MOORING LINE BY FUZZY CLASSIFICATION. JOURNAL OF MARINE ENGINEERING, 11(21), 41-56. SID. https://sid.ir/paper/60809/en

Vancouver: Copy

JAMALKIA AYSAN, ETTEFAGH MIR MOHAMMAD, Mojtahedi Alireza. DAMAGE IDENTIFICATION OF THE FLOATING WIND TURBINE MOORING LINE BY FUZZY CLASSIFICATION. JOURNAL OF MARINE ENGINEERING[Internet]. 2015;11(21):41-56. Available from: https://sid.ir/paper/60809/en

IEEE: Copy

AYSAN JAMALKIA, MIR MOHAMMAD ETTEFAGH, and Alireza Mojtahedi, “DAMAGE IDENTIFICATION OF THE FLOATING WIND TURBINE MOORING LINE BY FUZZY CLASSIFICATION,” JOURNAL OF MARINE ENGINEERING, vol. 11, no. 21, pp. 41–56, 2015, [Online]. Available: https://sid.ir/paper/60809/en

Related Journal Papers