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
Author bio:
E-mail: yhxiang@stu.jsu.edu.cn
‡Corresponding author
arezoo.sarkheyli-haegele@mau.se
yusliza@utm.my
kangdiwen@jsu.edu.cn
alzanmz@utm.my
Funds:
the National Natural Science Foundation of China(62066016);the Natural Science Foundation of Hunan Province of China(2023JJ2279);the Scientific Research Project of Education Department of Hunan Province of China(22B0549;22C0282);the Postgraduate Scientific Research Innovation Project of Hunan Province(CX20231088);the Fundamental Research Grant Scheme of Malaysia(R.J130000.7809.5F524);the Fundamental Research Grant Scheme of Malaysia (No. R.J130000.7809.5F524), and the UTMFR Grant Research Management Center (RMC) of Universiti Teknologi Malaysia (UTM)(Q.J130000.2551.20H71)
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.
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.