CLC number: TP277
On-line Access: 2017-05-24
Received: 2016-02-26
Revision Accepted: 2016-09-14
Crosschecked: 2017-04-23
Cited: 0
Clicked: 6955
Lei-ming Zhang, Long-hao Tang, Yong Lei. Controller area network node reliability assessment based on observable node information[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(5): 615-626.
@article{title="Controller area network node reliability assessment based on observable node information",
author="Lei-ming Zhang, Long-hao Tang, Yong Lei",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="18",
number="5",
pages="615-626",
year="2017",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1601029"
}
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%T Controller area network node reliability assessment based on observable node information
%A Lei-ming Zhang
%A Long-hao Tang
%A Yong Lei
%J Frontiers of Information Technology & Electronic Engineering
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%P 615-626
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%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1601029
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T1 - Controller area network node reliability assessment based on observable node information
A1 - Lei-ming Zhang
A1 - Long-hao Tang
A1 - Yong Lei
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 18
IS - 5
SP - 615
EP - 626
%@ 2095-9184
Y1 - 2017
PB - Zhejiang University Press & Springer
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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.
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