This paper describes an application in home automation based on wireless sensor network for monitoring of an electrical network in the consumption and quality of supply energy. The system allows scalability and flexib...
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This paper describes an application in home automation based on wireless sensor network for monitoring of an electrical network in the consumption and quality of supply energy. The system allows scalability and flexibility with low cost. When installing sensors in each plug, it is possible to draw a map of the building to see areas where there is greater demand for electricity as well as places where there is too much distortion. Gateway is configured for the IEEE 802.15.4 to IEEE 802.3 and MATLAB was used to monitor data. The calculations of power and harmonic distortion are performed on each sensor.
This study presents the optimal allocation of distributed generators (DGs) in distribution network based on an adaptive multi-objective particle swarm optimization (AMPSO). In order to enable the DGs to make the best ...
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The new modular walking robots MERO by reconfiguring their architecture are built to displace the heavy loads on the unaligned terrain. The main characteristic of the modular walking robots is that they are able to mo...
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The drilling process is one of the most extended machining processes in the manufacturing industry. However, the performance of this process can be importantly decreased due to the drill wear and even breakage. Concer...
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Agent-based evacuation modeling approach is gained more and more attention for investigating human cognitive capabilities and social behaviors in building fires. This paper mainly overviews the research about various ...
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In this paper we propose a supervised multi-agent control strategy for leather manufacturing processes. In a tannery numerous processes are performed and in order to control them we use an agent for each process. Due ...
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In this paper we propose a supervised multi-agent control strategy for leather manufacturing processes. In a tannery numerous processes are performed and in order to control them we use an agent for each process. Due to the control from distance, the systems are affected by varying communication delays which can affect the quality of the final product. The supervisor is used to adjust, by using the fuzzy logic, the command provided by each agent. Simulation results are presented. The results show performance improvement when our control strategy is used.
This work deals with the main control problems found in solar power systems and the solutions proposed in literature. The paper first describes the main solar power technologies, its development status and then descri...
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This work deals with the main control problems found in solar power systems and the solutions proposed in literature. The paper first describes the main solar power technologies, its development status and then describes the main challenges encountered when controlling solar power systems. While in other power generating processes, the main source of energy can be manipulated, in solar energy systems, the main source of power which is solar radiation cannot be manipulated and furthermore it changes in a seasonal and on a daily base acting as a disturbance when considering it from a control point of view. Solar plants have all the characteristics needed for using industrial electronics and advanced control strategies able to cope with changing dynamics, nonlinearities and uncertainties.
Long term prediction such as multi-step time series prediction is a challenging prognostics problem. This paper proposes an improved AR time series model called ND-AR model (Nonlinear Degradation AutoRegression) for R...
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ISBN:
(纸本)9781936263059
Long term prediction such as multi-step time series prediction is a challenging prognostics problem. This paper proposes an improved AR time series model called ND-AR model (Nonlinear Degradation AutoRegression) for Remaining Useful Life (RUL) estimation of lithium-ion batteries. The nonlinear degradation feature of the lithiumion battery capacity degradation is analyzed and then the non-linear accelerated degradation factor is extracted to improve the linear AR model. In this model, the nonlinear degradation factor can be obtained with curve fitting, and then the ND-AR model can be applied as an adaptive datadriven prognostics method to monitor degradation time series data. Experimental results with CALCE battery data set show that the proposed nonlinear degradation AR model can realize satisfied prognostics for various lithium-ion batteries with low computing complexity.
The efficiency of the wind power conversions systems can be greatly improved using an appropriate control algorithm. In this work, a robust control for variable speed wind power generation that incorporates a doubly f...
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The drilling process is one of the most extended machining processes in the manufacturing industry. However, the performance of this process can be importantly decreased due to the drill wear and even breakage. Concer...
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The drilling process is one of the most extended machining processes in the manufacturing industry. However, the performance of this process can be importantly decreased due to the drill wear and even breakage. Concerning this, this paper presents a flexible software tool that provides the user of the drilling machine with information about the current regime of the drilling process. In particular, the application provides information related to the occurrence of both tool wear and material heterogeneities.
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