A novel 3D binary-state angle network and its reliability evaluate

Autor: Yu-Xian Huang, Haw-Sheng Wu, Wei-Chang Yeh, Chia-Ling Huang, Chyh-Ming Lai
Rok vydání: 2016
Předmět:
Zdroj: 2016 12th World Congress on Intelligent Control and Automation (WCICA).
DOI: 10.1109/wcica.2016.7578353
Popis: The last few years have seen a great deal of work on network reliability. In practical application, the transmitting utility may be restricted by some geometric limitations, such as in 2D space, changing the direction of vehicle in 2D space, if the swerve of angle is bigger than the restriction, then vehicle will be turnover. On the other hand, in realistic problems, the change of altitude is also an important restriction that needs to be considered, so it is necessary to consider the swerve angle in 3D space that meets the real word problems. Here is a simple example for transmission and logistic problems, when you transport commodities in the pipeline, it needs to consider the swerve angle in 3D space, like the plastic pipes, if the swerve angle or the change of altitude is bigger than upper bound, then the plastic pipes will have no water flow out. Hence, a novel 3D geometric binary-state angle network (3D-BAN) is proposed to deal with those real-life problems. A simple and efficient algorithm based on the cosine law and Euclidean distance formula is introduced in searching for all minimal paths at capacity level d (d-MPs) which is a simple path satisfied all angle restrictions and capacity level d from the source node to the sink node in 3D-BAN. Finally, a simple example is given to illustrate how to implement the proposed algorithm for 3D-BAN.
Databáze: OpenAIRE