The Fault Diagnosis Model of FMS Workflow Based on Adaptive Weighted Fuzzy Petri Net


Article Preview

This paper proposes a method for using neural network and weighted fuzzy Petri net to diagnose fault. Aiming at the traditional Petri net can not precisely predict the complex relation of the default phenomenon and the cause, neural network, fuzzy logic and the traditional Petri net are combined, and a constructing method for adaptive weighted fuzzy Petri net model is proposed. Based on this, an improved BP algorism is introduced to train the weight of the model, and the specific process for using the model to diagnose the fault is given. Finally, the model was applied to the instance of FMS, and the model was proved to have the advantages of Petri net and neural network and have reasoning and adaptive ability.



Advanced Materials Research (Volumes 605-607)

Edited by:

Pengcheng Wang, Xiangdong Liu and Yongquan Han




H. L. Pan et al., "The Fault Diagnosis Model of FMS Workflow Based on Adaptive Weighted Fuzzy Petri Net", Advanced Materials Research, Vols. 605-607, pp. 837-843, 2013

Online since:

December 2012




[1] GuiSheng Fan, HuiQun Yu, LiQiong Chen, DongMei Liu. Fault Diagnosis and Handling for Service Composition Based on Petri Nets. Journal of Software, Vol. 21, No. 2(2010), pp.231-247.


[2] Zaihua Li, MingKun Liu. Review of Intelligence Fault Diagnosis in Power System. Electrical Engineering, Vol. 8 (2010), pp.20-24 In Chinese.

[3] QingFeng Zeng, ZhengYou He, JianWei Yang. Fault diagnosis model of electric power systems based on colored Petri net. Power System Protection and Control, Vol. 38, No. 14(2010), pp.6-11 In Chinese.

[4] ChongYi Yuan. The principle and application of Petri net. Beijing: Electronic Industry Press, 2005 In Chinese.

[5] Andrea Rock, Ray Kresman. On Petri Nets and Predicate-Transition Nets. Software Engineering Research and Practice, (2006), pp.903-909.

[6] P.F. Palamara, V. A. Ziparo, L. Iocchi, D. Nardi, P. Lima, H. Costelha. A Robotic Soccer Passing Task Using Petri Net Plans. In Proc. of 7th Int. Conf. on Autonomous Agents and Multi-agent Systems, (2008), pp.1711-1712.


[7] Kurt Jensen, Lars Michael Kristensen, Lisa Wells. Coloured petri nets and CPN tools for modelling and validation of concurrent systems. Software Tools for Technology Transfer, Vol. 9, No. 3-4(2007), pp.213-254.


[8] LinChuang. Computer net and computer system performance evaluation. Beijing: Tsinghua University Press, 2006 In Chinese.

[9] Baier C, Hermanns H, Katoen J-P, Haverkort B R. Efficient computation of time-bounded reachability probalities in uniform continuous time Markov decision processes. The oriented Computer Science, Vol. 345, No. 12(2005), pp.2-26.


[10] LiHui, ChengLing Cui, XinHong Li. Study on fault diagnosis for CNC machine in flexible manufacturing system. Application Research of Computers, Vol. 26, No. 8(2009), pp.2982-2984 In Chinese.

[11] C Ciufudean, C. Filote. Safety Discrete Event Models for Holonic Cyclic Manufacturing Systems. Holonic and Multi-Agent Systems for Manufacturing, LNAI 5696 Spring, (2009), pp.225-233.


[12] Calin Ciufudean, Adrian Graur, Constantin Filote, etc. A new Formalism for Failure Diagnosis: Ant Colony Decision Petri Nets. Journal of Software, Vol. 2, No. 1(2007), pp.39-46.


[13] YuJian Bao, JianWei Yang. Application of Weighted Fuzzy Petri Net in Fault Diagnosis of the Electric Network. Electric Switchgear, Vol. 2 (2010), pp.68-74 In Chinese.

[14] R Doraiswami, M Stevenson. A robust influence matrix approach to fault diagnosis. IEEE Trans. Control Systems Technology. Vol. 4, No. 1(2006), pp.29-39.

Fetching data from Crossref.
This may take some time to load.