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Mostrando ítems 1-10 de 13
Artículo
Interval-valued fuzzy spiking neural P systems for fault diagnosis of power transmission networks
(Elsevier, 2019)
It is a challenge problem how to deal with the uncertainty in fault diagnosis of power systems. To solve the challenge problem, this paper introduces an interval-valued fuzzy spiking neural P system (IVFSNP system), where ...
Artículo
Knowledge extraction from deep convolutional neural networks applied to cyclo-stationary time-series classification
(Elsevier, 2020)
Modelling complex processes from raw time series increases the necessity to build DeepLearning (DL) architectures that can manage this type of data structure. However, as DLmodels become deeper, larger and more diverse ...
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 ...
Artículo
A Fault Diagnosis Method of Power Systems Based on an Improved Adaptive Fuzzy Spiking Neural P Systems and PSO Algorithms
(Chinese Institute of Electronics, 2016)
A new fault diagnosis method based on improved Adaptive fuzzy spiking neural P systems (in short, AFSN P systems) and Particle swarm optimization (PSO) algorithm is presented to improve the efficiency and accuracy of ...
Artículo
Fault diagnosis of spur gearbox based on random forest and wavelet packet decomposition
(Springer, 2015)
This paper addresses the development of a random forest classifier for the multi-class fault diagnosis in spur gearboxes. The vibration signal’s condition parameters are first extracted by applying the wavelet packet ...
Artículo
Fault Diagnosis of Electric Power Systems Based on Fuzzy Reasoning Spiking Neural P Systems
(IEEE Computer Society, 2015)
This paper proposes a graphic modeling approach, fault diagnosis method based on fuzzy reasoning spiking neural P systems (FDSNP), for power transmission networks. In FDSNP, fuzzy reasoning spiking neural P systems (FRSN ...
Artículo
Fault Diagnosis of Power Systems Using Intuitionistic Fuzzy Spiking Neural P Systems
(IEEE Computer Society, 2018)
In this paper, intuitionistic fuzzy spiking neural P (IFSNP) systems as a variant are proposed by integrating intuitionistic fuzzy logic into original spiking neural P systems. Compared with a common fuzzy set, ...
Artículo
Fault Diagnosis of Metro Traction Power Systems Using A Modified Fuzzy Reasoning Spiking Neural P System
(Romanian Academy, Section for Information Science and Technology, 2015)
This paper presents the application of a modified fuzzy reasoning spiking neural P systems (MFRSN P system, for short) to fault diagnosis of metro traction power supply systems. In MFRSN P systems, three types of neurons ...
Artículo
Fault Section Estimation of Power Systems with Optimization Spiking Neural P Systems
(Romanian Academy, Section for Information Science and Technology, 2015)
An optimization spiking neural P system (OSNPS) provides a novel way to directly use a P system to solve optimization problems. This paper discusses the practical application of OSNPS for the first time and uses it to ...