Parallel fault diagnosis using hierarchical fuzzy Petri net by reversible and dynamic decomposition mechanism
Regular Papers|Updated:2025-03-13
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Parallel fault diagnosis using hierarchical fuzzy Petri net by reversible and dynamic decomposition mechanism
基于可逆和动态分解机制的层次化FPN并行故障诊断
“In the field of fuzzy Petri nets, a parallel bidirectional reasoning algorithm is introduced to address the state explosion issue. Expert xx established the xx system, which optimizes the implementation process by utilizing reverse and decomposition strategies, significantly enhancing inference efficiency and reducing execution time.”
Frontiers of Information Technology & Electronic EngineeringVol. 26, Issue 1, Pages: 93-108(2025)
Affiliations:
1.School of Communication and Electronics Engineering, Jishou University, Jishou 416000, China
2.Internet of Things and People Research Center, Department of Computer Science and Media Technology, Malmö University, Malmö 20506, Sweden
3.Faculty of Computing, Universiti Teknologi Malaysia, Skudai 81310, Malaysia
Yinhong XIANG, Kaiqing ZHOU, Arezoo SARKHEYLI-HÄGELE, et al. Parallel fault diagnosis using hierarchical fuzzy Petri net by reversible and dynamic decomposition mechanism[J]. Frontiers of information technology & electronic engineering, 2025, 26(1): 93-108.
DOI:
Yinhong XIANG, Kaiqing ZHOU, Arezoo SARKHEYLI-HÄGELE, et al. Parallel fault diagnosis using hierarchical fuzzy Petri net by reversible and dynamic decomposition mechanism[J]. Frontiers of information technology & electronic engineering, 2025, 26(1): 93-108. DOI: 10.1631/FITEE.2400184.
Parallel fault diagnosis using hierarchical fuzzy Petri net by reversible and dynamic decomposition mechanism