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Mostrando ítems 1-10 de 21
Artículo
Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber-Physical Systems in Smart Grids
(Hindawi, 2019)
Communication networks as smart infrastructure systems play an important role in smart girds to monitor, control, and manage the operation of electrical networks. However, due to the interdependencies between communication ...
Ponencia
Fault Diagnosis Models for Electric Locomotive Systems Based on Fuzzy Reasoning Spiking Neural P Systems
(Springer, 2014)
This paper discusses the application of fuzzy reasoning spiking neural P systems with real numbers (rFRSN P systems) to fault diagnosis of electric locomotive systems. Relationships among breakdown signals and faulty ...
Ponencia
Application of Weighted Fuzzy Reasoning Spiking Neural P Systems to Fault Diagnosis in Traction Power Supply Systems of High-speed Railways
(Fénix Editora, 2014)
This paper discusses the application of weighted fuzzy reasoning spiking neu- ral P systems (WFRSN P systems) to fault diagnosis in traction power supply systems (TPSSs) of China high-speed railways. Four types of neurons ...
Artículo
Adjacent Graph Based Vulnerability Assessment for Electrical Networks Considering Fault Adjacent Relationships Among Branches
(IEEE Computer Society, 2019)
Security issues related to vulnerability assessment in electrical networks are necessary for operators to identify the critical branches. At present, using complex network theory to assess the structural vulnerability of ...
Artículo
Spiking neural P systems with inhibitory rules
(Elsevier, 2020)
Motivated by the mechanism of inhibitory synapses, a new kind of spiking neural P (SNP) system rules, called inhibitory rules, is introduced in this paper. Based on this, a new variant of SNP systems is proposed, called ...
Artículo
Fuzzy Membrane Computing: Theory and Applications
(Agora University of Oradea, 2015)
Fuzzy membrane computing is a newly developed and promising research direction in the area of membrane computing that aims at exploring the complex in- teraction between membrane computing and fuzzy theory. This paper ...
Artículo
A Fault Analysis Method for Three-Phase Induction Motors Based on Spiking Neural P Systems
(Hindawi, 2021)
The fault prediction and abductive fault diagnosis of three-phase induction motors are of great importance for improving their working safety, reliability, and economy; however, it is difficult to succeed in solving these ...
Artículo
Application of Fuzzy Reasoning Spiking Neural P Systems to Fault Diagnosis
(Agora University of Oradea, Romania, 2014)
This paper discusses the application of fuzzy reasoning spiking neural P systems with trapezoidal fuzzy numbers (tFRSN P systems) to fault diagnosis of power systems, where a matrix-based fuzzy reasoning algorithm based ...
Artículo
A weighted corrective fuzzy reasoning spiking neural P system for fault diagnosis in power systems with variable topologies
(Elsevier, 2020)
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 FDWCFRSNPS. In ...
Ponencia
P Systems based Computing Polynomials: Design and Formal Verification
(IMCS: International Membrane Computing Society, 2015)
Automatic design of P systems is an attractive research topic in the community of membrane computing. Differing from the previous work that used evolutionary algorithms to fulfill the task, this paper presents the design ...