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
- 2022.5
- 수록면
- 398 - 405 (8page)
- DOI
- 10.5302/J.ICROS.2022.22.0021
이용수
초록· 키워드
오류제보하기
As an autonomous underwater vehicle (AUV) operates over a long period of time in the sea, continuous online monitoring of the vehicle is crucial. By monitoring the health status of the AUV, it is possible not only to avoid a serious damage or even loss of the vehicle, but also to effectively manage the missions being carried out. This paper presents an online health monitoring technique for AUVs using Fault Tree Analysis (FTA). The use of both information about the reliability and performance of subsystems can be highlighted as the main contribution from this work. The whole system is divided into several subsystems for which a fault tree is designed. Then, the system health is evaluated using the given fault tree by considering not only the performance of each component, but also the weighting factors, reliability, and fault status of various parts in each subsystem. In order to determine the health status of the AUV in real-time, the fault tree is structurally analyzed using the information mentioned above. The effectiveness of the proposed method is demonstrated using a set of simulations.
목차
Abstract
I. 서론
II. 건전성 평가 기법
III. 무인잠수정 Fault Tree 분석
IV. 시뮬레이션 및 결과
V. 결론
REFERENCES
참고문헌 (28)
참고문헌 신청
Y. H. Eng, K. M. Teo, M. Chitre, and K. M. Ng, “Online system identification of an autonomous underwater vehicle via in-field experiments,” IEEE Journal of Oceanic Engineering, vol. 41, no. 1, pp. 5-17, 2016.
P. Castaldi, M. Menghini, L. De Marchi and S. Simani, “Autonomous underwater vehicle actuators health monitoring for Smart Harbour Application,” 5th International Conference on Smart and Sustainable Technologies (SpliTech), Split, Croatia, 2020.
E. J. Kim, S. T. Kim, Y. H. Kim, M. J. Choi, D. H. Viet, and J. W. Song, “A dual fault detection algorithm based on the federated Kalman filter to enhance the reliability of the navigation system,” Journal of Institute of Control, Robotics and Systems (in Korean), vol. 26, no. 2, pp. 136-143, 2020.
T. G. Kim, and S. K. Kim, “Actuator fault diagnosis and counterplan using extended Kalman filter considering symmetry of hexacopter UAV,” Journal of Institute of Control, Robotics and Systems (in Korean), vol. 27, no. 7, pp. 473-481, 2021.
D. J. Suh, J. G. Park, Y. C. Won, and Y. S. Eun, “Automatic diagnosis and real-time monitoring software for train control systems,” Journal of Institute of Control, Robotics and Systems (in Korean), vol. 27, no. 3, pp. 185-189, 2021.
P. Castaldi, M. Menghini, L. De Marchi and S. Simani, “Autonomous underwater vehicle actuators health monitoring for Smart Harbour Application,” 5th International Conference on Smart and Sustainable Technologies (SpliTech), Split, Croatia, 2020.
E. J. Kim, S. T. Kim, Y. H. Kim, M. J. Choi, D. H. Viet, and J. W. Song, “A dual fault detection algorithm based on the federated Kalman filter to enhance the reliability of the navigation system,” Journal of Institute of Control, Robotics and Systems (in Korean), vol. 26, no. 2, pp. 136-143, 2020.
T. G. Kim, and S. K. Kim, “Actuator fault diagnosis and counterplan using extended Kalman filter considering symmetry of hexacopter UAV,” Journal of Institute of Control, Robotics and Systems (in Korean), vol. 27, no. 7, pp. 473-481, 2021.
D. J. Suh, J. G. Park, Y. C. Won, and Y. S. Eun, “Automatic diagnosis and real-time monitoring software for train control systems,” Journal of Institute of Control, Robotics and Systems (in Korean), vol. 27, no. 3, pp. 185-189, 2021.
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