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2017 1

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Bayesian network 1

Bus-off hitting time 1

Controller area network (CAN) 1

MMW 1

TEC value estimation 1

Transmit error counter (TEC) 1

anti-ship missile 1

correctable intercepting flow 1

hitting probability 1

optimization analysis 1

real time control 1

remote controlling 1

trajectory correction munitions 1

tunnel construction 1

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Simulation on Hitting Probability of MMW Remote ControllingTrajectory Correction Munition Intercepting

Hu Ronglin,Li Xingguo

Strategic Study of CAE 2007, Volume 9, Issue 10, Pages 65-70

Abstract: Subsequently, the hitting probability of single MMW-RCTCM vs.

Keywords： remote controlling trajectory correction munitions correctable intercepting flow anti-ship missile hitting

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Simulation on Hitting Probability of MMW Remote ControllingTrajectory Correction Munition Intercepting

Hu Ronglin,Li Xingguo

Strategic Study of CAE 2007, Volume 9, Issue 6, Pages 48-52

Abstract:

The methodology of visual simulation for tunnel engineering construction schedule is presented in this thesis. Visualization of founding model, calculation and result of construction schedule simulation are realized. The simulate model of tunnel engineering construction schedule is founded. Risk analysis and decision_making method of tunnel engineering construction schedule based on visual simulation are presented. The resource optimization is conducted. On the basis of studying the S curve theory and method of schedule management, tunnel engineering construction schedule S curve real time management and control method based on visual simulation are presented. Practical engineering analysis is made.

Keywords： visual simulation tunnel construction optimization analysis real time control

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Controller area network node reliability assessment based on observable node information Article

Lei-ming ZHANG, Long-hao TANG, Yong LEI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 5, Pages 615-626 doi: 10.1631/FITEE.1601029

Abstract: Controller area network (CAN) based fieldbus technologies have been widely used in networked manufacturing systems. As the information channel of the system, the reliability of the network is crucial to the system throughput, product quality, and work crew safety. However, due to the inaccessibility of the nodes’ internal states, direct assessment of the reliability of CAN nodes using the nodes’ internal error counters is infeasible. In this paper, a novel CAN node reliability assessment method, which uses node’s time to bus-off as the reliability measure, is proposed. The method estimates the transmit error counter (TEC) of any node in the network based on the network error log and the information provided by the observable nodes whose error counters are accessible. First, a node TEC estimation model is established based on segmented Markov chains. It considers the sparseness of the distribution of the CAN network errors. Second, by learning the differences between the model estimates and the actual values from the observable node, a Bayesian network is developed for the estimation updating mechanism of the observable nodes. Then, this estimation updating mechanism is transferred to general CAN nodes with no TEC value accessibility to update the TEC estimation. Finally, a node reliability assessment method is developed to predict the time to reach bus-off state of the nodes. Case studies are carried out to demonstrate the effectiveness of the proposed methodology. Experimental results show that the estimates using the proposed model agree well with actual observations.

Keywords： Controller area network (CAN) Transmit error counter (TEC) TEC value estimation Bayesian network Bus-off hitting