지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2017.1
- 수록면
- 35 - 42 (8page)
이용수
초록· 키워드
오류제보하기
Recently, compressive sensing based data loss recovery techniques have become popular for Structural Health Monitoring (SHM) applications. These techniques involve an encoding process which is onerous to sensor node because of random sensing matrices used in compressive sensing. In this paper, we are presenting a model where the sampled raw acceleration data is directly transmitted to base station/receiver without performing any type of encoding at transmitter. The received incomplete acceleration data after data losses can be reconstructed faithfully using compressive sensing based reconstruction techniques. An in-depth simulated analysis is presented on how random losses and continuous losses affects the reconstruction of acceleration signals (obtained from a real bridge). Along with performance analysis for different simulated data losses (from 10 to 50%), advantages of performing interleaving before transmission are also presented.
목차
등록된 정보가 없습니다.
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
A simple and efficient data loss recovery technique for SHM applications
Smart Structures and Systems, An International Journal
2017 .01
-
Application of compressive sensing and variance considered machine to condition monitoring
Smart structures and systems
2018 .01
-
Application of compressive sensing and variance considered machine to condition monitoring
Smart Structures and Systems, An International Journal
2018 .01
-
구심터빈 탈설계 성능예측에서의 손실모델 영향
한국유체기계학회 논문집
2019 .12
-
Capturing research trends in structural health monitoring using bibliometric analysis
Smart Structures and Systems, An International Journal
2022 .02
-
A review on deep learning-based structural health monitoring of civil infrastructures
Smart Structures and Systems, An International Journal
2019 .01
-
Research and practice of health monitoring for long-span bridges in the mainland of China
Smart structures and systems
2015 .01
-
압축센싱을 적용한 회전체 시스템의 통계학적 상태진단
한국소음진동공학회 학술대회논문집
2016 .04
-
압축센싱과 통계학적 기법을 적용한 회전체 시스템의 상태진단
한국소음진동공학회논문집
2016 .11
-
22.9kV 배전선로 전력손실산출 기법에 관한 연구
전기학회논문지 P
2017 .12
-
주파수 기반의 적응적 가중 손실을 활용한 초해상도 복원
대한전자공학회 학술대회
2023 .06
-
Comparison of Loss Models for Performance Prediction of Radial Inflow Turbine
International Journal of Fluid Machinery and Systems
2018 .03
-
건축구조 헬스모니터링 - SHM과 AI
건축
2021 .04
-
A review on sensors and systems in structural health monitoring: current issues and challenges
Smart Structures and Systems, An International Journal
2018 .01
-
Electromechanical impedance-based long-term SHM for jacket-type tidal current power plant structure
Smart Structures and Systems, An International Journal
2015 .01
-
Deep learning-based anomaly detection in acceleration data of long-span cable-stayed bridges
Smart Structures and Systems, An International Journal
2024 .02
-
의료영상 분류를 위한 거리기반 메트릭 손실의 비교
한국정보과학회 학술발표논문집
2021 .06
-
Electromechanical impedance-based long-term SHM for jacket-type tidal current power plant structure
Smart structures and systems
2015 .01
-
Research and practice of health monitoring for long-span bridges in the mainland of China
Smart Structures and Systems, An International Journal
2015 .01
이 논문의 저자 정보
최근 본 자료
댓글(0)
0