In this paper, the reliability-redundancy allocation problem with the mixed redundancy strategy is revisited to develop a new model that can be beneficially exploited to estimate exact reliability values. The model is...
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In this paper, the reliability-redundancy allocation problem with the mixed redundancy strategy is revisited to develop a new model that can be beneficially exploited to estimate exact reliability values. The model is capable of not only optimally calculating reliability values in a very short time but also choosing the best strategy for each subsystem from among active, standby, and mixed strategies. In previous studies, reliability calculation for the mixed strategy had been accomplished using a lower bound formulation that was sophisticated, time-consuming, and approximate. The proposed model is developed based on a continuous-time Markov chain model. It is applied to three famous benchmark tests that are subsequently solved using a powerful evolutionary algorithm called the water cycle algorithm. Computational results confirm the robustness and superiority of this new model over previous ones in calculating reliability. Besides, the proposed algorithm outperforms the previous ones in finding good results.
In this paper, an amalgamation of fractional calculus theory with integral order (10) controller that is fractional order PID (FOPID) fine-tuned with water cycle algorithm (WCA) a natured inspired optimization techniq...
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In this paper, an amalgamation of fractional calculus theory with integral order (10) controller that is fractional order PID (FOPID) fine-tuned with water cycle algorithm (WCA) a natured inspired optimization technique is proposed as a secondary regulator for renewable-based contemporary interconnected power system (IPS). Investigation performed on IPS subjected to the perturbations of 10% step load on area-1 (10%SLP). System nonlinearity features of communication time delays (CTDs) are considered to conduct a more realistic analysis. Simulation results reveal the predominance of CTDs on IPS performance. The sovereignty of presented FOPID has been demonstrated with traditional 10 type regulators like PI, and PID under unique perturbed conditions. Further, the device superconducting magnetic energy storage (SMES) is incorporated in each area and the interline power flow controller (IPFC) is operated in conjunction with the tie-line is operated. Responses of IPS reveal the enhancement in the dynamic performance of the system under the coordination of IPFC-SMES with the WCA tuned FOPID regulator.
Brain tumor is one of the most life-threatening diseases at its advance stages. Hence, detection at early stages is very crucial in treatment for improvement of the life expectancy of the patients. magnetic resonance ...
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Brain tumor is one of the most life-threatening diseases at its advance stages. Hence, detection at early stages is very crucial in treatment for improvement of the life expectancy of the patients. magnetic resonance imaging (MRI) is being used extensively nowadays for detection of brain tumors that requires segmenting huge volumes of 3D MRI images which is very challenging if done manually. Thus, automatic segmentation of the images will significantly lessen the burden and also improve the process of diagnosing the tumors. This paper presents an efficient method based on convolutional neural networks (CNN) for the automatic segmentation and detection of a brain tumor using MRI images. water cycle algorithm is applied to CNN to obtain an optimal solution. The developed technique has an accuracy of 98.5%.
In the Wireless Sensor Network (WSN), the data prediction approach is needed to attain data effectively by diminishing node energy consumption. Hence, in this research, watercycle Fire Fly Optimization and Deep Long ...
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An Autoencoder (AE) is an independent feature extractor from data samples and a deep network can be obtained by stacking several AEs. This paper presents a novel hybrid stacked Autoencoder-based Deep Kernel-based Rand...
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The tight control of the process parameters through appropriate tuning of controllers is an art that imperatively employed to various process industries. Most of these industries are influenced by the nonlinearity tha...
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The tight control of the process parameters through appropriate tuning of controllers is an art that imperatively employed to various process industries. Most of these industries are influenced by the nonlinearity that occurred due to the input parameter variation and presence of disturbances. The aim of this work is to investigate the nonlinear dynamics of a paper industry based energy intensive unit named Multiple Stage Evaporator (MSE) in presence of different Energy Reduction Schemes. MSE is used to concentrate the weak Black Liquor (BL), a biomass based byproduct. Hence, to extract the bioenergy from the BL, the quality of the product liquor needs to be appropriately controlled. The quality of BL is measured by two process parameters, product concentration and temperature. Hence, in this work, an intelligent controller Fraction Order Proportional-Integral-Derivative controller has been studied and employed to resolve the servo and the regulatory problem occurred during the process. A state-of-art metaheuristic approach, Black Widow Optimization algorithm has been proposed here to tune the controller parameters and compared with another optimization approaches named water cycle algorithm. The simulated result demonstrates the usefulness of the proposed strategy and confirm the performance improvement for the process parameters. To enlighten the advantages of the proposed control scheme, a comparative analysis have also been performed with conventional PID, 2-DOF-PID and FOPID controllers.
In this work, the dynamical behavior of the dual area thermal-hydro-wind (DATHW) model of the interconnected power system (IPS) is investigated. For analysis, the area-1 of the DATHW system is laid with a disturbance ...
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In this work, the dynamical behavior of the dual area thermal-hydro-wind (DATHW) model of the interconnected power system (IPS) is investigated. For analysis, the area-1 of the DATHW system is laid with a disturbance in step load (SLD) of 10%. The investigation is carried out on the DATHW system under the supervision of the fractional order proportional-integral-derivative-filter (FOPIDN) controller optimized with the water cycle algorithm (WCA). However, the dominance of FOPIDN in regulating the DATHW system performance deviations is validated by other regulators. To get the research near practicality, the DATHW system is deliberated with communication time delays (CTDs). The CTDs is the inherit nature of the communication peripherals that are employed in the IPS network for providing the data exchange among various devices. Further, the supplementary control approach of super capacitors (SC) and static synchronous series compensators (SSSC) is adopted with the DATHW system for performance improvement. The supplementary control is implemented by integrating the SC in the control areas and the SSSC with the tie-line. Finally, we conducted the sensitivity test to reveal the efficacy of the suggested controller mechanism in this work.
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