@article {8611442,
	title = {Modeling Fault Propagation Paths in Power Systems: A New Framework Based on Event SNP Systems With Neurotransmitter Concentration},
	journal = {IEEE Access},
	volume = {7},
	year = {2019},
	pages = {12798-12808},
	keywords = {Biocomputing, Computational modeling, Ev-SNP system, event SNP systems, ex-ante fault propagation path prediction, Fault diagnosis, fault propagation path, fault propagation relationship, inference mechanisms, large-scale power systems, large-scale systems, Membrane computing, modeling fault propagation paths, neural nets, neural P systems, Neurons, neurotransmitter concentration, Neurotransmitters, power engineering computing, power system, power system security, Power system stability, Probability, reduced order systems, reduction-SNP system, RSNP system, Spiking neural P system, synapses},
	doi = {10.1109/ACCESS.2019.2892797},
	author = {T. Wang and X. Wei and T. Huang and J. Wang and H. Peng and Mario J. P{\'e}rez-Jim{\'e}nez and Luis Valencia-Cabrera}
}
