[논문]Decentralized damage identification using wavelet signal analysis embedded on wireless smart sensors

Yun, G.J.; Lee, S.G.; Carletta, J.; Nagayama, T.

doi:10.1016/j.engstruct.2011.03.007

Decentralized damage identification using wavelet signal analysis embedded on wireless smart sensors

Engineering structures, v.33 no.7, 2011년, pp.2162 - 2172

Yun, G.J. (Department of Civil Engineering, The University of Akron, Akron, OH, 44325-3905, USA) , Lee, S.G. , Carletta, J. , Nagayama, T.

Abstract ▼ AI-Helper

In this paper, a decentralized damage identification method using wavelet signal analysis tools embedded on wireless smart sensors (Imote2) has been proposed and experimentally validated. The damage identification analysis is decentralized by calculating discrete wavelet coefficients for acceleration in Imote2 sensors and transmitting the wavelet coefficients to a base station for damage identification through wavelet entropy indices. The wavelet entropy is modified to serve as a damage-sensitive signature that can be obtained both at different spatial locations and time stations to indicate existence of damage. It is known that wavelet-based approaches have clear advantages over Fourier transform-based ones for damage identification, since the wavelet transform allows for a wider choice of basis functions. This flexibility allows the wavelet transform to isolate changes in a signal that may be difficult to detect using other transform methods. To assess the reliability of the measurement signals, the wireless sensors have been compared with reference wired sensors. The proposed decentralized method for damage identification is verified via experimental tests using two laboratory structures: a three-story shear building structure and a three-dimensional truss bridge structure.

주제어

참고문헌 (24)

Struct Infrastruct Eng Wang 3 2 103 2007 10.1080/15732470600590820 A wireless structural health monitoring system with multithreaded sensing devices: design and validation

상세보기
Struct Control Health Monit Gao 13 1 488 2006 10.1002/stc.117 Distributed computing strategy for structural health monitoring

상세보기
Smart Struct Syst Nagayama 5 2 119 2009 10.12989/sss.2009.5.2.119 Middleware services for structural health monitoring using smart sensors

상세보기
Eng Struct Weng 30 7 1820 2008 10.1016/j.engstruct.2007.12.002 Output-only modal identification of a cable-stayed bridge using wireless monitoring systems

상세보기
Smart Mater Struct Lynch 15 6 1561 2006 10.1088/0964-1726/15/6/008 Performance monitoring of the Geumdang Bridge using a dense network of high-resolution wireless sensors

상세보기
10.1117/12.539263 Chung HC, Enotomo T, Loh K, Shinozuka M. Real-time visualization of bridge structural response through wireless MEMS sensors. In: Proc. SPIE-the int. society for optical engineering. 2004.
Stubbs N, Kim JT, Topole K. An efficient and robust algorithm for damage localization in offshore platforms. In: Proceedings of the ASCE 10th structures congress. San Antonio (TX). 1992.
Newland 1993 Random vibrations, spectral and wavelet analysis
J Struct Eng-ASCE Sun 128 10 1354 2002 10.1061/(ASCE)0733-9445(2002)128:10(1354) Structural damage assessment based on wavelet packet transform

상세보기
Internat J Solids Structures Wang 36 23 3443 1999 10.1016/S0020-7683(98)00152-8 Damage detection with spatial wavelets

상세보기
Eng Struct Kim 26 3 347 2004 10.1016/j.engstruct.2003.10.008 Damage detection of structures by wavelet analysis

상세보기
J Neurosci Methods Rosso 153 2 163 2006 10.1016/j.jneumeth.2005.10.009 EEG analysis using wavelet-based information tools

상세보기
Eng Struct Ren 30 10 2840 2008 10.1016/j.engstruct.2008.03.013 Structural damage identification by using wavelet entropy

상세보기
Earthq Eng Struct Dyn Poudel 36 8 1089 2007 10.1002/eqe.673 Wavelet transformation of mode shape difference function for structural damage location identification

상세보기
Computer-Aided Civil Infrastruct. Eng. Pakrashi 22 8 555 2007 10.1111/j.1467-8667.2007.00510.x A study on the effects of damage models and wavelet bases for damage identification and calibration in beams

상세보기
Messina A, Jones IA, Williams EJ. Damage detection and localisation using natural frequency changes. In: Proceedings conference identification in engineering systems. Swansea (UK). 1996.
Castaneda NE, Sun F, Dyke SJ, Lu C, Hope A, Nagayama T. Implementation of a correlation-based decentralized damage detection method using wireless sensors. In: The 8th international conference on advances in structural engineering and mechanics. Jeju (South Korea). 2008.
Nagayama T, Spencer BF. Structural health monitoring using smart sensors. In: NSEL report, series 001. Urbana: University of Illinois Urbana-Champaign; 2007. https://www.ideals.uiuc.edu/handle/2142/3521.
ISHMP, Illinois structural health monitoring project. Accessed on February 6 2009. http://shm.cs.uiuc.edu/ishmpstart.html.
10.1117/12.776695 Rice JA, Spencer BF. Structural health monitoring sensor development for the Imote2 platform. In: Proceedings SPIE smart structures/NDE. San Diego (CA). 2008.
Castaneda NE. In-situ wireless sensing for distributed structural health monitoring. Department of mechanical, aerospace and structural engineering, Washington University in St. Louis; 2008.
Peairs DM, Park G, Inman DJ. Sensing area analysis for actuator placement with model of impedance-based SHM. In: Proceedings of 5th international workshop on structural health monitoring. Stanford (CA). September 12-14, 2005.
Liberatore S, Carman GP. Damage detection of structures based on spectral methods using piezoelectric materials. In: Proceedings of international workshop on structural health monitoring. Stanford (CA). September 12-14, 2003.
10.1201/b10430-36 Shang S, Yun GJ, Lee SG, Caicedo JM, Narasimhan S. Development of a benchmark laboratory structure for finite element model updating. In: The 5th international conference on bridge maintenance, safety and management. Philadelphia (PA). 2010.

표제어: PCR

동의어: Packet Collision Rate

용어 설명 출처 목록 (6)

용어 설명: PCR은 세균 특이성이 있는 primer를 이용하여 적은 수의 세균이 있을지라도 쉽게 검출할 수 있는 유용한 방법이며, 이를 이용하여 구강 내 치면세균막이나 타액에서 직접 세균을 검출할 수 있게 되었다[8].

AI-Helper ※ AI-Helper는 을 사용합니다.

AI-Helper

안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

내보내기 구분	파일저장 인쇄 메일전송
구성항목	기본정보 상세정보 관리번호, 논문명, 저널/프로시딩명, 저자 , 발행년, 권, 호, 시작페이지, 끝페이지, 발행기관 관리번호, 논문명, 대등논문명, 저자 , 저널/프로시딩명, 발행기관, 발행년, 발행언어, 권, 호, 시작페이지, 끝페이지, ISBN, ISSN, 주제분야, 키워드, 초록(한글), 초록(영문), 저자(소속기관)
저장형식	Text(ASCII format) Excel format RefWorks Direct Export RIS format (for Reference Manager, ProCite, EndNote), Scholar's Aids, Mendeley
메일정보	받는사람 (필수) @ 보내는사람 (선택) @ 제목 내용 KISTI 검색결과 이메일 서비스
안내	총 건의 자료가 검색되었습니다. 다운받으실 자료의 인덱스를 입력하세요. (1-10,000) 검색결과의 순서대로 최대 10,000건 까지 다운로드가 가능합니다. 데이타가 많을 경우 속도가 느려질 수 있습니다.(최대 2~3분 소요) 다운로드 파일은 UTF-8 형태로 저장됩니다. 파일의 내용이 제대로 보이지 않을실 때는 웹브라우저 상단의 보기 -> 인코딩 -> 자동선택 여부를 확인하십시오. ~ Text(ASCII format) Excel format

연합인증

Decentralized damage identification using wavelet signal analysis embedded on wireless smart sensors

Abstract ▼ AI-Helper

주제어

참고문헌 (24)

이 논문을 인용한 문헌

관련 콘텐츠

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

선택된 텍스트