Optimal Training for Associative Memories: Application to Fault Diagnosis in Fossil Electric Power Plants
نویسندگان
چکیده
1 Universidad Autonoma del Carmen, Av. 56 # 4 X Av. Concordia, CP 24180, Cd. del Carmen, Campeche, Mexico, on Ph. D studies at CINVESTAV, Unidad Guadalajara, [email protected], 2 CINVESTAV, Unidad Guadalajara, Apartado Postal 31-430, Plaza La Luna, Guadalajara, Jalisco C.P. 45091, MEXICO, [email protected], 3 Instituto de Investigaciones Electricas, Calle Reforma # 113, Col. Palmira, C.P. 62490, Cuernavaca, Morelos, MEXICO, [email protected]
منابع مشابه
Optimal Training Algorithm Application to Design an Associative Memory for Fault Diagnosis at a Fossil Electric Power Plant
∗ Universidad Autonoma del Carmen, Av. 56 # 4 Esq. Av. Concordia, Col. Benito Juarez, C.P. 24180, Cd. del Carmen, Campeche, MEXICO, e-mail: {jruz,rghernandez}@pampano.unacar.mx ∗∗ Instituto de Investigaciones Electricas, Calle Reforma No. 113, Col. Palmira, C.P. 62490, Cuernavaca, Morelos, MEXICO, e-mail: [email protected] ∗∗∗ CINVESTAV, Unidad Guadalajara, Apartado Postal 31-430, Plaza La Luna...
متن کاملSoft Margin Training for Associative Memories Implemented by Recurrent Neural Networks
In this paper, the authors discuss a new synthesis approach to train associative memories, based on recurrent neural networks (RNNs). They propose to use soft margin training for associative memories, which is efficient when training patterns are not all linearly separable. On the basis of the soft margin algorithm used to train support vector machines (SVMs), the new algorithm is developed in ...
متن کاملCost and Environmental Pollution Reduction Based on Scheduling of Power Plants and Plug-in Hybrid Electric Vehicles
There has been a global effort to reduce the amount of greenhouse gas emissions. In an electric resource scheduling, emission dispatch and load economic dispatch problems should be considered. Using renewable energy resources (RESs), especially wind and solar, can be effective in cutting back emissions associated with power system. Further, the application of electric vehicles (EV) capable of b...
متن کاملThe Impact of Blackout on Manufacturing: Evidences from Iran’s Industrial Plants
Shortage of electric power is a serious issue for production, especially for those that rely more on electricity. In this paper, we investigate the effect of non-distributed electricity (blackout) on Iranian industry. The sources are derived from two undistributed energy data collected from 39 distribution companies and database of industrial plants. The final panel data is from industrial plan...
متن کاملDetailed Modeling and Novel Scheduling of Plug-in Electric Vehicle Energy Storage Systems for Energy Management of Multi-microgrids Considering the Probability of Fault Occurrence
As an effective means of displacing fossil fuel consumption and reducing greenhouse gas emissions, plug-in electric vehicles (PEVs) and plug-in hybrid electric vehicles (PHEVs) have attracted more and more attentions. From the power grid perspective, PHEVs and PEVs equipped with batteries can also be used as energy storage facilities, due to the fact that, these vehicles are parked most of the ...
متن کامل