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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.

基于可观测节点信息的控制器局域网节点可靠性评估

[1]Barranco, M., Proenza, J., Rodríguez-Navas, G., et al., 2006. An active star topology for improving fault confinement in CAN networks. IEEE Trans. Ind. Inform., 2(2):78-85.

[2]Barranco, M., Proenza, J., Almeida, L., 2011. Quantitative comparison of the error-containment capabilities of a bus and a star topology in CAN networks. IEEE Trans. Ind. Electron., 58(3):802-813.

[3]Bosch, 1991. CAN Specification Version 2.0. Robert Bosch GmbH, Postfach, Germany.

[4]Cauffriez, L., Conrard, B., Thiriet, J., et al., 2003. Fieldbuses and their influence on dependability. Proc. 20th IEEE Instrumentation and Measurement Technology Conf., p.1005-1008.

[5]Chen, J.X., Luo, F., Sun, Z.C., 2006. Reliability analysis of CAN nodes under electromagnetic interference. IEEE Int. Conf. on Vehicular Electronics and Safety, p.367-371.

[6]Farsi, M., Ratcliff, K., Barbosa, M., 1999. An overview of controller area network. Comput. Contr. Eng. J., 10(3):113-120.

[7]Gaujal, B., Navet, N., 2005. Fault confinement mechanisms on CAN: analysis and improvements. IEEE Trans. Veh. Technol., 54(3):1103-1113.

[8]Janssen, H.K., 1981. On the nonequilibrium phase transition in reaction-diffusion systems with an absorbing stationary state. Zeitschr. Phys. B, 42(2):151-154.

[9]Kumar, M., Verma, A.K., Srividya, A., 2009. Response-time modeling of controller area network (CAN). Int. Conf. on Distributed Computing and Networking, p.163-174.

[10]Lei, Y., Djurdjanovic, D., 2010. Diagnosis of intermittent connections for DeviceNet. Chin. J. Mech. Eng., 23(5):606-612.

[11]Lei, Y., Djurdjanovic, D., Ni, J., 2010. DeviceNet reliability assessment using physical and data link layer parameters. Qual. Reliab. Eng. Int., 26(7):703-715.

[12]Lei, Y., Yuan, Y., Zhao, J.Z., 2014. Model-based detection and monitoring of the intermittent connections for CAN networks. IEEE Trans. Ind. Electron., 61(6):2912-2921.

[13]Navet, N., Song, Y.Q., 2001. Validation of in-vehicle real-time applications. Comput. Ind., 46(2):107-122.

[14]Navet, N., Song, Y.Q., Simonot, F., 2000. Worst-case deadline failure probability in real-time applications distributed over controller area network. J. Syst. Arch., 46(7):607-617.

[15]Wang, Z.Y., Guo, X.S., Yu, C.Q., 2010. Research of fault-tolerant redundancy and fault diagnosis technology based on CAN. 2nd Int. Conf. on Advanced Computer Control, p.287-291.

[16]Yomsi, P.M., Bertrand, D., Navet, N., et al., 2012. Controller area network (CAN): response time analysis with offsets. 9th IEEE Int. Workshop on Factory Communication Systems, p.43-52.

[17]Zhang, L.M., Tang, L.H., Yang, F., et al. 2015. CAN node reliability assessment using segmented discrete time Markov chains. IEEE Int. Conf. on Automation Science and Engineering, p.231-236.

[18]Zhao, J.Z., Lei, Y., 2012. Modeling for early fault detection of intermittent connections on controller area networks. IEEE/ASME Int. Conf. on Advanced Intelligent Mechatronics, p.1135-1140.