The widespread sensors in a structural monitoring system provide vital support to its operation. Data is obtainedf rom sensors in a structural health monitoring system for integrity assessment of the structure, and false alarm will be frequently triggered if a faulty sensor is detected. In this study, a proposed method based on machine learning algorithm and Gaussian distribution is present to identify sensor fault.

This study is aimed at developing a wireless unified-maintenance system (WUMS) that would satisfy all the requirements for a disaster preventive SHM system of civil structures. The WUMS is designed to measure diverse types of structural responses in realtime based on wireless communication, allowing users to selectively use WiFi RF band and finally working in standalone mode by means of the field-programmable gate array (FPGA) technology. To verify its performance, the following tests were performed: (i) A test to see how far communication is possible in open field, (ii) a modal test on a bridge to see how exactly characteristic real-time dynamic responses are of structures. Finally, the WUMS is proved valid as a SHM, and its outstanding performance is also proven.

This study is a result of the dynamic characteristics of the tall building using real time structural health monitoring system. The monitoring system consist of an anemometer, accelerometers, GPS and internet-based data logging system. Through this realtime ambient measurement data, evaluate the serviceability of the building.

Structural performance of cable-bridge has been evaluated based on the field load test and the measurement monitoring system of existing Nielsen arch bridge. The measured acceleration data was converted to the displacement of girder and the tension of cable in the process of numerical integration and maximum frequency detection algorithm..

This paper aims to develop a wireless multi-sensing system for structural health monitoring of civil structures. This system is designed to measure all kinds of data--static and dynamic response, etc--from a multi-sensing data logger, and to transmit the measured data by means of a wireless real-time RF module, and to analyze the transmitted data for a health monitoring of structure. To test its validity, a FE analysis of a model cable-stayed bridge has been conducted for system identification. And a modal test of the model bridge has been also performed by both the proposed system and a cable based commercial measurement system(IOTech) for comparison. Based on those results, the proposed system was found to have an excellent capability of measuring and transmitting data from actual structure, and thus to be applicable to health monitoring of civil structures.

This paper aims at featuring dynamic characteristic of cable-stayed bridge by means of an artificial filter bank(AFB), for the purpose of effective acquirement of real-time valid dynamic(acceleration) responses. The AFB was embedded into a wireless sensing system. Also, through modal testings performed on a model of cable-stayed bridge, its dynamic characteristics were featured on natural frequency. They were evaluated in comparison to wired measurement responses and FE analysis. Finally, the dynamic wireless measurement system on the basis of AFB were found technologically and economically effective by obtaining valid dynamic(acceleration) responses whose size was compressed over the frequency range of interest.

본 연구에서는 구조물의 모니터링 시스템을 위하여 최근에 급속하게 발전하는 스마트 센서 기술을 이용하여 스마트 센서 장치를 개발하였고 다양한 실험을 통하여 개발한 스마트 센서의 기본적 성능 평가와 모형 구조물을 이용한 손상 검출 실험을 실시하였다. 본 논문은 Part 1로써 스마트 센서의 개발과 성능 평가에 관한 것이고 Part 2에서는 스마트 센서를 이용한 손상 검출 결과를 유선 계측 시스템을 이용한 실험결과와 비교하였다. 스마트 센서는 고 출력의 무선 모뎀과 고 성능 MEMS 센서, AVR 마이크로컨트롤러를 이용하여 개발하였으며 센서의 제어와 운영을 위한 임베디드 프로그램을 개발하였다. 스마트 센서의 성능을 검증하기 위하여 민감도와 분해능 분석 실험과 캔틸레버 보와 가진기를 이용한 데이터 획득 실험, 실 구조물을 이용한 현장 적용 실험을 실시하였다. 실험 결과, 개발한 스마트 센서의 성능에 대한 만족스런 결과를 얻었다.