@article {WANG2020103680,
	title = {A weighted corrective fuzzy reasoning spiking neural P system for fault diagnosis in power systems with variable topologies},
	journal = {Engineering Applications of Artificial Intelligence},
	volume = {92},
	year = {2020},
	pages = {103680},
	abstract = {This paper focuses on power system fault diagnosis based on Weighted Corrective Fuzzy Reasoning Spiking Neural P Systems with real numbers (rWCFRSNPSs) to propose a graphic fault diagnosis method, called FD-WCFRSNPS. In the FD-WCFRSNPS, an rWCFRSNPS is proposed to model the logical relationships between faults and potential warning messages triggered by the corresponding protective devices. In addition, a matrix-based reasoning algorithm for the rWCFRSNPS is devised to reason about the fault alarm messages using parallel representations. Besides, a layered modeling method based on rWCFRSNPSs is developed to adapt to topological changes in power systems and a Temporal Order Information Processing Method based on Cause{\textendash}Effect Networks is designed to correct fault alarm messages before the fault reasoning. Finally, in a case study considering a local subsystem of a 220kV power system, the diagnosis results of five test cases prove that the proposed FD-WCFRSNPS is viable and effective.},
	keywords = {Cause{\textendash}effect network, Fault diagnosis, Fuzzy reasoning, Membrane computing, power system, Spiking neural P system},
	issn = {0952-1976},
	doi = {https://doi.org/10.1016/j.engappai.2020.103680},
	url = {http://www.sciencedirect.com/science/article/pii/S0952197620301172},
	author = {Tao Wang and Xiaoguang Wei and Jun Wang and Tao Huang and Hong Peng and Xiaoxiao Song and Luis Valencia Cabrera and Mario J. P{\'e}rez-Jim{\'e}nez}
}
@article {article,
	title = {Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber-Physical Systems in Smart Grids},
	journal = {Complexity},
	volume = {2019},
	year = {2019},
	month = {03},
	pages = {1-15},
	doi = {10.1155/2019/7428458},
	author = {Tao Wang and Xiaoguang Wei and Tao Huang and Jun Wang and Luis Valencia-Cabrera and Zhennan Fan and Mario J. P{\'e}rez-Jim{\'e}nez}
}
@article {2172,
	title = {Fault diagnosis for multi-energy flows of energy internet: Framework and prospect},
	journal = {2017 IEEE Conference on Energy Internet and Energy System Integration (EI2)},
	year = {2017},
	month = {11/2017},
	pages = {1-5},
	publisher = {IEEE, Inc.},
	isbn = {978-1-5386-1428-0},
	doi = {10.1109/EI2.2017.8245494},
	author = {Tao Wang and Jun Wang and Zhennan Fan and Xiaoguang Wei and Tianlei Zang and Mario J. P{\'e}rez-Jim{\'e}nez and Tao Huang}
}
