Fault Tree of Autonomous Underwater Gliding Robot

버전 3.0 (38.4 MB) 작성자: Koorosh Aslansefat
This is a simple prototype of Simulink based Fault Tree Analysis (FTA)
다운로드 수: 1.4K
업데이트 날짜: 2022/3/16

This type of Fault Tree has some limitations:
* No repeated event is allowed.
* No repair is allowed
* It only support static gates
Some papers have been published based on this simulink:
1. K. Aslansefat and G. Latif-Shabgahi, "A Novel Classification for Underwater Robots," in 5th Offshore Industries Conference, Tehran, Iran, 2013.
2. K. Aslansefat, G. Latif-Shabgahi and M. Kamarloie, "Faults Taxonomy in Autonomous Underwater Vehicle and Provide their Fault Tree," in 15th Marine Industries Conference, Kish, Iran, 2013.
3. K. Aslansefat, G. Latif-Shabgahi and M. Kamarlouei, "A Strategy for Reliability Evaluation of Autonomous Underwater Gliding Robots," in Third International Conference on Robotics, Automation and Communication Engineering (ICRACE 2014), Dubai, 2014.
4. G. Latif-Shabgahi, K. Aslansefat and M. Kamarlouei, "Reliability and Sensitivity Evaluation of an AUV through Fault Tree Model with Uncertainty Consideration," International journal of Maritime Technology.
5. M. Bahar-Gogani, M. Ramezani, A. Yazdizadeh, K. Aslansefat, “Reliability Evaluation in Propulsion System of Diesel-Electric Locomotive through Fuzzy Fault Tree”, in 4th International Conference on Recent Advances in Railway Engineering (ICRARE2015), University of Science and Technology, Tehran, Iran.

인용 양식

Koorosh Aslansefat (2025). Fault Tree of Autonomous Underwater Gliding Robot (https://github.com/koo-ec/Fault_Tree_Simulink/releases/tag/v3.0), GitHub. 검색 날짜: .

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개발 환경: R2014a
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버전 게시됨 릴리스 정보
3.0

See release notes for this release on GitHub: https://github.com/koo-ec/Fault_Tree_Simulink/releases/tag/v3.0

2.1.0.0

See release notes for this release on GitHub: https://github.com/koo-ec/Fault_Tree_Simulink/releases/tag/2.1.0.0

2.0.0.0

- A missing Simulink file has been uploaded.

1.0.0.0

이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.
이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.