• 한국추진공학회:학술대회논문집
• /
• 한국추진공학회 2008년도 제31회 추계학술대회논문집
• /
• pp.163-166
• /
• 2008

헬리콥터는 다른 항공기에 비해 저고도에서 운용되며 이착륙도 활주로 이외의 산간지역, 일반 임야에서도 이루어진다. 저고도 운행은 엔진이 눈, 호우 등의 잦은 대기환경 변화에서 운용되어야 함을 의미한다. 또한 비활주로에서의 이착륙으로 인해 모래, 먼지와 같은 유해물질이 엔진 내부로 흡입될 가능성이 높아진다. 이러한 운용 환경은 가스가 지나가는 엔진 구성품의 손상을 증가시킬 수 있다. 온라인 상태감시 프로그램은 SIMULINK를 이용하여 개발하였으며 입력 모듈에서 실제 엔진 계측 신호를 모사하였다. 개발된 온라인 상태감시 모니터링 프로그램의 실제 헬리콥터 엔진에 적용 가능 여부를 확인하기 위하여 터보샤프트 엔진에 적용하였다.

• Smart Structures and Systems
• /
• 제15권4호
• /
• pp.1019-1039
• /
• 2015

Shanghai Tower is a composite structure building with a height of 632 m. In order to verify the structural properties and behaviors in construction and operation, a structural health monitoring project was conducted by Tongji University. The monitoring system includes sensor system, data acquisition system and a monitoring software system. Focusing on the health monitoring in construction, this paper introduced the monitoring parameters in construction, the data acquisition strategy and an integration structural health monitoring (SHM) software. The integration software - Structural Monitoring/ Analysis/ Evaluation System (SMAE) is designed based on integration and modular design idea, which includes on-line data acquisition, finite elements and dynamic property analysis functions. With the integration and modular design idea, this SHM system can realize the data exchange and results comparison from on-site monitoring and FEM effectively. The analysis of the monitoring data collected during the process of construction shows that the system works stably, realize data acquirement and analysis effectively, and also provides measured basis for understanding the structural state of the construction. Meanwhile, references are provided for the future automates construction monitoring and implementation of high-rise building structures.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2004년도 춘계학술대회 논문집 전기설비전문위원
• /
• pp.91-93
• /
• 2004

This study presents recent trends on the on-line monitoring and diagnostic systems for oil-immersed transformers. Specially, our system on Yeo Su thermal power plant is introduced for high sensitivity and accuracy of ours. It is combined with communication networks to provide an on-line remote monitoring system. Several alarm criteria are formulated to enable a superimposed monitoring system to perform decisive action. The reasons for monitoring the condition and maintaining the health of electrical apparatus were discussed. The experience at the fields and the criteria for the judgment are also discussed in detail.

• Structural Engineering and Mechanics
• /
• 제23권1호
• /
• pp.75-95
• /
• 2006

Two-step identification approaches for effective bridge health monitoring are proposed to alleviate the issues associated with many unknown parameters faced in real structures and to improve the accuracy in the estimate results. It is suitable for on-line monitoring scheme, since the damage assessment is not always needed to be carried out whereas the alarming for damages is to be continuously monitored. In the first step for screening potentially damaged members, a damage indicator method based on modal strain energy, probabilistic neural networks and the conventional neural networks using grouping technique are utilized and then the conventional neural networks technique is utilized for damage assessment on the screened members in the second step. The effectiveness of the proposed methods is investigated through a field test on the northern-most span of the old Hannam Grand Bridge over the Han River in Seoul, Korea.

• 한국지능시스템학회논문지
• /
• 제22권4호
• /
• pp.481-486
• /
• 2012

본 논문은 석유화학 플랜트 등의 결함을 자기자왜센서기술을 활용하여 주기적으로 검사하는 오프라인 모니터링이 가능한 'Health Monitoring System'의 개발과 그 활용성에 대해 확인하였다. 기존의 유도파 검사 방식은 용접부위 검사에는 적용할 수 없고, 일반적인 부위에서도 노이즈 및 반사파 등으로 검사의 정밀도에 한계를 갖고 있다. 본 기술은 주기적인 모니터링을 통해 결함의 진전에 따른 변위정보를 활용할 수 있음으로서, 더 정밀한 검사가 가능하기 때문에 석유화학 플랜트에서 매우 유용하게 활용될 수 있을 것으로 사료된다.

• Smart Structures and Systems
• /
• 제25권2호
• /
• pp.169-181
• /
• 2020

Sensor placement is a crucial aspect of bridge health monitoring (BHM) dedicated to accurately estimate and locate structural damages. In addressing this goal, a sensor placement framework based on the deflection influence line (DIL) analysis is here proposed, for the optimal design of damage detection-oriented BHM system. In order to improve damage detection accuracy, we explore the change of global stiffness matrix, damage coefficient matrix and DIL vector caused by structural damage, and thus develop a novel sensor placement framework based on the Fisher information matrix. Our approach seeks to determine the contribution of each sensing node to damage detection, and adopts a distance correction coefficient to eliminate the information redundancy among sensors. The proposed damage detection-oriented optimal sensor placement (OSP) method is verified by two examples: (1) a numerically simulated three-span continuous beam, and (2) the Pinghu bridge which has existing real damage conditions. These two examples verify the performance of the distance corrected damage sensitivity of influence line (DSIL) method in significantly higher contribution to damage detection and lower information redundancy, and demonstrate the proposed OSP framework can be potentially employed in BHM practices.

• Smart Structures and Systems
• /
• 제20권2호
• /
• pp.197-205
• /
• 2017

The dynamic performance of railway bridges under high-speed trains draws the attention of bridge engineers. The vibration issue for long-span bridges under high-speed trains is still not well understood due to lack of validations through structural health monitoring (SHM) data. This paper investigates the correlation between bridge acceleration and train speed based on structural dynamics theory and SHM system from three foci. Firstly, the calculated formula of acceleration response under a series of moving load is deduced for the situation that train length is near the length of the bridge span, the correlation between train speed and acceleration amplitude is analyzed. Secondly, the correlation scatterplots of the speed-acceleration is presented and discussed based on the transverse and vertical acceleration response data of Dashengguan Yangtze River Bridge SHM system. Thirdly, the warning indexes of the bridge performance for correlation scatterplots of speed-acceleration are established. The main conclusions are: (1) The resonance between trains and the bridge is unlikely to happen for long-span bridge, but a multimodal correlation curve between train speed and acceleration amplitude exists after the resonance speed; (2) Based on SHM data, multimodal correlation scatterplots of speed-acceleration exist and they have similar trends with the calculated formula; (3) An envelope line of polylines can be used as early warning indicators of the changes of bridge performance due to the changes of slope of envelope line and peak speed of amplitude. This work also gives several suggestions which lay a foundation for the better design, maintenance and long-term monitoring of a long-span high-speed bridge.

• 한국항공우주학회지
• /
• 제37권12호
• /
• pp.1238-1244
• /
• 2009

본 연구는 헬리콥터용 터보축엔진의 온라인 상태진단을 위해 퍼지-신경망 알고리즘을 제안하였고 GUI 형태의 SIMULINK프로그램으로 개발하였다. 진단 프로그램 개발을 위해 look-up 테이블 형식 기본 성능 모듈로 계산시간을 줄였고 실시간 성능 데이터를 획득하기위해 신호 생성 모듈을 사용하였다. 이 프로그램은 계측성능상태를 모니터링하기위한 온라인 상태모니터링 프로그램과 계측데이터와 퍼지를 이용한 정성적인 상태진단과 신경 회로망을 이용한 정량적인 상태진단으로 이루어진다. 제안된 온라인 진단 프로그램은 헬리콥터엔진의 상태모니터링에 적용 가능여부를 확인하기 위하여 터보샤프트 엔진을 대상으로 검증하였다.

• Smart Structures and Systems
• /
• 제6권7호
• /
• pp.811-833
• /
• 2010

Vibration control and health monitoring of building structures have been actively investigated in recent years but treated separately according to the primary objective pursued. This paper presents a general approach in the time domain for integrating vibration control and health monitoring of a building structure to accommodate various types of control devices and on-line damage detection. The concept of the time-domain approach for integrated vibration control and health monitoring is first introduced. A parameter identification scheme is then developed to identify structural stiffness parameters and update the structural analytical model. Based on the updated analytical model, vibration control of the building using semi-active friction dampers against earthquake excitation is carried out. By assuming that the building suffers certain damage after extreme event or long service and by using the previously identified original structural parameters, a damage detection scheme is finally proposed and used for damage detection. The feasibility of the proposed approach is demonstrated through detailed numerical examples and extensive parameter studies.

• 한국전산구조공학회:학술대회논문집
• /
• 한국전산구조공학회 2004년도 가을 학술발표회 논문집
• /
• pp.135-142
• /
• 2004

Two-step identification approach for effective bridge health monitoring is proposed to alleviate the issues associated with many unknown parameters faced in the real structures and to improve the accuracy in the estimate results. It is suitable for on-line monitoring scheme, since the damage assessment is not always needed to be carried out whereas the alarming for damages is to be continuously monitored. In the first step for screening potential damaged members, damage indicator method based on modal strain energy, probabilistic neural networks and the conventional neural networks using grouping technique are used and then the conventional neural network technique is utilized for damage assessment on the screened members in the second step. The proposed methods are verified through a field test on the northern-most span of old Hannam Grand Bridge.