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4 May 2019 Improved Fault Petri Nets of Unmanned Seafloor Drilling Based on Traces Transition
Jianjian Yang, Zhiwei Tang, Zirui Wang, Xiaolin Wang, Qiankun Huang, Miao Wu
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Abstract

For this kind of complex system equipment, parts fault detection of single large difficulty and low efficiency from the whole system considering many factors can lead to failure, and these factors affect each other, and the fault also exists between some logical relations, because of the condition monitoring and fault diagnosis accurately and effectively is very difficult. Based on the analysis of the traditional Petri Net application in the field of fault diagnosis, this paper gives fault diagnosis modeling expression of different classification problem & a kind of theory, and introduces transition token matrix representation of traces transition in order to express path of fault propagation. On this basis, from several aspects which are the TTFPN definition, this paper discusses the theory and technology of fault definition of seafloor drilling based on traces transition. Finally, the reasoning between the intelligent diagnosis function and the fault propagation path is verified by the mathematical model reasoning of the fault data.

Yang, J.; Tang, Z.; Wang, Z.; Wang, X.; Huang, Q., and Wu, M., 2018. Improved fault petri nets of unmanned seafloor drilling based on traces transition. In: Liu, Z.L. and Mi, C. (eds.), Advances in Sustainable Port and Ocean Engineering. Journal of Coastal Research, Special Issue No. 83, pp. 479–485. Coconut Creek (Florida), ISSN 0749-0208.

©Coastal Education and Research Foundation, Inc. 2018
Jianjian Yang, Zhiwei Tang, Zirui Wang, Xiaolin Wang, Qiankun Huang, and Miao Wu "Improved Fault Petri Nets of Unmanned Seafloor Drilling Based on Traces Transition," Journal of Coastal Research 83(sp1), 479-485, (4 May 2019). https://doi.org/10.2112/SI83-080.1
Received: 9 November 2017; Accepted: 2 February 2018; Published: 4 May 2019
KEYWORDS
fault diagnosis
petri nets
Seafloor drilling
traces transition
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