A Comprehensive Probabilistic Assessment Method of UAS Ground Collision Risk

Author(s):  
Théo Serru ◽  
Kevin Delmas
Author(s):  
Guangli Zhang ◽  
Jinheng Luo ◽  
Xinwei Zhao ◽  
Hua Zhang ◽  
Liang Zhang ◽  
...  

2015 ◽  
Vol 757 ◽  
pp. 159-163
Author(s):  
Ying Juan Yue ◽  
Fei Chen ◽  
Hong Li ◽  
Hai Xia Du ◽  
Xiao Jun Du

Based on the shortcomings of traditional probabilistic assessment methods, an improved probabilistic safety assessment method was proposed, which used Latin hypercube sampling, considered the change process about fatigue crack propagation, as well as the effect of random variables on the failure assessment curve. The paper also analyzed the specific example with this method. The results showed that this method was simpler and more effective, which had some value of applications in engineering.


2017 ◽  
Vol 106 ◽  
pp. 376-385 ◽  
Author(s):  
Grégoire Chevillotte ◽  
Audrey Bernard ◽  
Clémence Varret ◽  
Pascal Ballet ◽  
Laurent Bodin ◽  
...  

2020 ◽  
Vol 39 (5) ◽  
pp. 7621-7637 ◽  
Author(s):  
Tao Zhao ◽  
Haodong Li ◽  
Songyi Dian

In this paper, we propose a method to assess the collision risk and a strategy to avoid the collision for solving the problem of dynamic real-time collision avoidance between robots when a multi-robot system is applied to perform a given task collaboratively and cooperatively. The collision risk assessment method is based on the moving direction and position of robots, and the collision avoidance strategy is based on the artificial potential field (APF) and the fuzzy inference system (FIS). The traditional artificial potential field (TAPF) has the problem of the local minimum, which will be optimized by improving the repulsive field function. To adjust the speed of the robot adaptively and improve the security performance of the system, the FIS is used to plan the speed of robots. The hybridization of the improved artificial potential field (IAPF) and the FIS will make each robot safely and quickly find a collision-free path from the starting position to the target position in a completely unknown environment. The simulation results show that the strategy is effective and useful for collision avoidance in multi-robot systems.


2011 ◽  
Vol 236-238 ◽  
pp. 8-13
Author(s):  
Yong Wang Liu ◽  
Zhi Chuan Guan ◽  
Guo Shan Zhao ◽  
Chang Peng Hu

Vertical Well-bore Section Anti-collision is one of the main problems to be resolved for clustering directional well during the construction process. In order to effectively reduce the Vertical Well Section collision risk of this wells, the relationship between Wellbore cross-collision probability and the Wellbore separation was studied, the relationship between Wellbore cross-collision probability and the parallel Section length of the two Wellbore was also studied, Based on the above study found the method to calculate the Vertical Wellbore Section cross-collision probability of the clustering directional well. The Vertical Well-bore Section arrangement with smallest cross-collision probability was found by analyzing the cross-collision probability in line style wellhead of cluster wells consisting of 4 wells through this method. The results show that when the Well-bore separation is less than 1.5m. Wellbore collision probability rapidly decrease with the increase of Well-bore separation, the wellbore collision probability trends to smooth when wellbore separation is more than this distance, and the tendency will increase with the increase of parallel section length of the two Wellbore. By optimizing the arrangement and design methods can effectively reduce the collision risk. This study provides a new idea to reduce the overall risk of Cluster Well development.


2018 ◽  
Vol 6 (3) ◽  
pp. 74 ◽  
Author(s):  
Juan Aguilar-López ◽  
Jord Warmink ◽  
Anouk Bomers ◽  
Ralph Schielen ◽  
Suzanne Hulscher

Author(s):  
XH Zhu ◽  
RQ Sun ◽  
H Tong

Due to the fact that the complexity of loads and uncertainties of random variables affect the reliability of defective casings, with consideration to the disadvantages of the deterministic approach, in this paper a probabilistic assessment method is employed based on previously established safety evaluation criteria for casings with corrosion defects in thermal recovery wells. In addition, Monte Carlo simulation is proposed to analyze the casing reliability under different remaining strengths. Sensitivity analysis is then performed to rank the influence of various variables for casing failure, and finally the influence law of the main parameters on the maximum Von Mises stress of defective casing is summarized.


2013 ◽  
Vol 387 ◽  
pp. 341-344 ◽  
Author(s):  
Hao Lin Cui ◽  
Xu Sheng Gan ◽  
Ya Rong Wu ◽  
Hai Long Gao

In order to improve the safety level of aircraft anti-collision, an anti-collision risk assessment methods based on Relevance Vector Machine (RVM) is proposed. First, RVM learning under Bayesian framework is introduced as well as its basic principle and modeling process, and then on the basis of system point of view an anti-collision risk assessment index system is established, finally, on this basis, RVM assessment model for aircraft anti-collision risk is constructed. It can adaptively adjust the weights of influence factors without analyzing the relationship between various factors in the system. Examples show that, for anti-collision risk assessment, RVM has a novel structure and convenient application, and the result can reflect the actual safety situation.


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