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Identification and classification of faults using fuzzy logic controller in transmission line 基于模糊逻辑控制器的输电线路故障识别与分类
IF 1.7 Q1 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.47974/jim-1672
DHEERAJ KUMAR DHAKED, Lokesh Kumar Raman, D. Birla, Maheep Dwivedi
This manuscript discusses the identification and categorization of faults in transmission network system with fuzzy logic controller (FLC) with high-speed digital protective relay, which can be used for real-time data analysis. The FLC uses signals for the extraction of original signals for multi-resolution analysis. The proposed FLC technique detects the fault occurrence based on fault index. The stoutness of technique is demonstrated on transmission line models under different fault situations on MATLAB Simulink platform for the post-fault current of all three phases the end of line. In the projected technique, different rules have been structured for phase and ground faults. Simulation has been carried out on various faults type to test the effectiveness of the method which is used for a power station of 400 kV voltages with a 300 km long line. The extensive simulation effort has been carried out to recognize and categorize the types of faults using projected methodology with higher efficiency. This method is appropriate for high-impedance faults carried out in high-voltage line. The result obtained from Simulation led to the conclusion that the presented work is quite robust for medium and long lines.
本文讨论了基于高速数字保护继电器的模糊逻辑控制器(FLC)在输电网系统中的故障识别与分类,可用于实时数据分析。FLC利用信号提取原始信号进行多分辨率分析。提出的FLC技术基于故障指数检测故障发生。在MATLAB Simulink平台上建立了不同故障情况下的传输线模型,验证了该方法的可靠性。在投影技术中,对相位和接地故障构造了不同的规则。通过对各种故障类型的仿真,验证了该方法的有效性,并将其应用于某400 kV电压、300 km线路的电站。通过大量的仿真工作,利用投影方法对断层类型进行识别和分类,效率更高。该方法适用于高压线路中发生的高阻抗故障。仿真结果表明,本文所提出的方法对中长线具有较强的鲁棒性。
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引用次数: 0
Improve QoS for multi-body sensor analytics in smart healthcare system using machine learning algorithm 利用机器学习算法改进智能医疗系统中多体传感器分析的QoS
IF 1.7 Q1 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.47974/jim-1670
D. K. Saini, Sonali Kishore Pawar, S. P. Tondare, Anuradha S. Nigade, J. Morbale, Mohit Gangwar
Embracing significant learning methods for human lead affirmation has shown suitable in taking out discriminants from the coarse information packs obtained from body-mounted sensors. But human headway is ideal coded in a movement of moderate models, the standard AI strategy is to finished certification obligations without taking advantage of the normal relationship between analysis information tests. This paper proposes the use of (DRNN) to manufacture a psychological model that can get critical distance conditions with factor-length input position. We present unidirectional, bidirectional, and comfortable models concerning DRNNs with LSTM and finding parameters using sporadic benchmark datasets. Exploratory results show that the proposed model is superior to a standard AI-based system. SVM and Nearest Neighbour Method (KNN). Moreover, In this Paper implementation smart system runs in tendency to other significant learning techniques like Deep Trust Organization (DBN) and CNN. Human Action Acknowledgment (HAR) assignments were consistently made using arranged highlights got by heuristic cycles.
采用有意义的学习方法对人体引线进行识别适用于从人体传感器获得的粗糙信息包中提取判别式。但人类的进展是理想的编码在一个运动适度的模型,标准的人工智能策略是完成认证义务,而不利用分析信息测试之间的正常关系。本文提出利用(DRNN)构造一个具有因子长度输入位置的临界距离条件的心理模型。我们提出了关于具有LSTM的drnn的单向、双向和舒适模型,并使用零星基准数据集查找参数。探索性结果表明,该模型优于标准的基于人工智能的系统。SVM和最近邻方法(KNN)。此外,在本文中,实现智能系统的运行倾向于其他重要的学习技术,如深度信任组织(DBN)和CNN。人类行为识别(HAR)任务一致地使用启发式循环得到的排列亮点。
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引用次数: 0
Basic properties of soft Np-open sets 软np -开集的基本性质
IF 1.7 Q1 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.47974/jim-1497
Sabiha I. Mahmood, H. J. Ali
This paper aims to present and study the soft topological properties of soft Np - closure, soft Np -  interior, soft Np -  exterior, and soft Np -  boundary of a soft set using the notion of soft Np- open and soft Np-  closed sets. Also, we discuss the soft product of soft Np-open sets and give examples.
本文旨在利用软Np-开集和软Np-闭集的概念,给出和研究软集的软Np-闭集、软Np-内集、软Np-外集和软Np-边界的软拓扑性质。讨论了软np开集的软积,并给出了实例。
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引用次数: 0
The complex integral transform complex Sadik transform of error function 误差函数的复积分变换复Sadik变换
Q1 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.47974/jim-1613
Nada Sabeeh Mohammed, Emad A. Kuffi
Recently, the focus of mathematics scientists on the use of integral transforms in solving problems in various fields such as engineering, science, and other scientific fields has led to the need to know the integral transforms of the error function in order to evaluate improper integrals. In this paper, we will use transform (complex Sadik transform) and prove its ability to evaluate improper integrals that have error functions.
近年来,数学科学家对利用积分变换来解决工程、科学和其他科学领域等各个领域的问题的关注,导致需要知道误差函数的积分变换,以便计算反常积分。在本文中,我们将使用变换(复Sadik变换)并证明它对具有误差函数的反常积分的求值能力。
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引用次数: 0
Elastic conjugate gradient methods to solve iteration problems 弹性共轭梯度法求解迭代问题
Q1 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.47974/jim-1619
Basim Abbas Hassan, Abdulameer A. Saad
Using the conjugacy condition and second-order Taylor expansion, we present a new formula in this paper. The novel formula, unlike traditional conjugate gradient approaches, utilizes information on available function values and gradients. The worldwide convergence findings of the formula are discussed, and numerical data show that this technique works.
本文利用共轭条件和二阶泰勒展开,给出了一个新的公式。与传统的共轭梯度方法不同,新公式利用了可用函数值和梯度的信息。讨论了该公式的全局收敛性,并给出了数值计算结果。
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引用次数: 0
Implementation of the CST complex Sadik transform to treat population expansion and decay problems 实施CST复合萨迪克改造,治疗人口膨胀和衰退问题
Q1 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.47974/jim-1624
Nada Sabeeh Mohammed, Emad A. Kuffi
Now with the increasing problems of expansion of the population and decay in the world, researchers are making great efforts to find new ideas and proposals to find successful solutions to solve these problems through the utilization of different integrated transformations. In our paper, the complex Sadik transform is applied to resolve the issues of population expansion and decay.
现在,随着世界上人口膨胀和衰退问题的日益严重,研究者们正在努力寻找新的思路和建议,通过利用不同的综合转化来找到解决这些问题的成功方案。本文采用复Sadik变换来解决人口膨胀和衰退问题。
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引用次数: 0
A novel hybridized neuro-fuzzy model for solving fuzzy singular perturbation problems with initial conditions 求解具有初始条件的模糊奇异摄动问题的一种新的神经模糊混合模型
Q1 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.47974/jim-1627
Khalid Mindeel Mohammed Al-Abrahemee
The present paper tries to introduce a new process for solving fuzzy singular perturbation problem(SPP, s) with initial condition. This approach depends on on the partially fuzzy neural network to find the numerical solution of the second order of these problems. This system’s trial solution is written as a sum of two parts. The first section meets the fuzzy initial condition and does not have any fuzzy free parameters. The second component consists of a partially fuzzy feed-forward neural network. containing fuzzy adjustable parameters (the fuzzy weights). As a result, the starting condition is fulfilled by construction, and the network is trained to solve the differential equations. When compared to other numerical techniques, this technique proves that neural networks generate solutions with high generalizability and accurateness. A number of examples are given to show the proposed plan.
本文试图引入一种求解具有初始条件的模糊奇异摄动问题的新方法。该方法依靠部分模糊神经网络来求解此类问题的二阶数值解。该系统的试用解写成两部分的和。第一部分满足模糊初始条件,没有任何模糊自由参数。第二部分是部分模糊前馈神经网络。包含模糊可调参数(模糊权重)。通过构造满足了初始条件,并训练网络求解微分方程。与其他数值方法相比,该方法证明了神经网络生成的解具有较高的泛化性和准确性。给出了一些例子来说明所提出的计划。
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引用次数: 0
The convergence of new iterations by resolvent ZA-Jungck mappings 求解ZA-Jungck映射的新迭代收敛性
IF 1.7 Q1 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.47974/jim-1462
Alaa Mohsen, Z. H. Maibed
In this paper, new iterations with different steps such as resolvent Jungck ZSY, resolvent Jungck Modified Mann Z-, resolvent Jungck Petrusel, and the resolvent Jungck Ishikawa iterations are introduced. Also, the convergence and speediness of it are studied and shown that the resolvent Jungck ZSY- iteration scheme is faster than that of resolvent Jungck Modified Mann Z- iteration scheme. On the other hand, the resolvent Jungck ZSY- iteration is faster than the resolvent Jungck Picard iteration.
本文介绍了求解Jungck ZSY迭代法、求解Jungck Modified Mann Z-迭代法、求解Jungck Petrusel迭代法和求解Jungck Ishikawa迭代法。研究了该方法的收敛性和快速性,结果表明,解决式Jungck - ZSY-迭代方案比解决式Jungck - Modified Mann -迭代方案要快。另一方面,解析式Jungck - ZSY-迭代比解析式Jungck - Picard迭代更快。
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引用次数: 0
On the Contraharmonic-mean Newton’s method(CHN) 关于反调和平均牛顿法(CHN)
IF 1.7 Q1 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.47974/jim-1448
I. Argyros, Manoj K. Singh
The objective of this study is to investigate the Contraharmonic-mean Newton’s method (CHN) for solving equations in Banach space. Local analysis has been performed by Taylor’s expansion utilizing high order derivatives and also using only the first derivatives appearing on the method. We have checked the theoretical results by comparing the CHN method with the Newton’s and related third order methods by Weerakoon et al. utilizing some test functions. The theoretical and numerical results are examined by the dynamical analysis of a selected test function.
本研究的目的是研究Banach空间中求解方程的反调和-平均牛顿法。局部分析采用泰勒展开,利用高阶导数,也只使用方法上出现的一阶导数。我们利用一些测试函数,将CHN方法与Weerakoon等人的牛顿方法及相关三阶方法进行了比较,验证了理论结果。通过对选定的测试函数进行动力学分析,验证了理论和数值结果。
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引用次数: 0
Upper and lower blow-up rate estimates of a semilinear heat equation with a nonlinear boundary condition 具有非线性边界条件的半线性热方程上爆率和下爆率估计
IF 1.7 Q1 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.47974/jim-1302
Maan A. Rasheed, M. Chlebík
In this paper, we consider the blow-up solutions of a semi-linear heat equation with a Neumann boundary condition, where the nonlinear terms, appear in the differential equation and in the boundary conditions, are of exponential types. We study the effect of the nonlinear terms on the last blow-up behavior. Precisely, the upper (lower) blow-up rate estimates are established by using integral equation method and maximum principle techniques. The results show that the presentence of the reaction and boundary terms has important effects on the upper (lower) blow-up rate estimates forms.
本文考虑了一类具有Neumann边界条件的半线性热方程的爆破解,其中在微分方程和边界条件中出现的非线性项为指数型。研究了非线性项对最后爆破行为的影响。准确地说,利用积分方程法和极大原理技术建立了上(下)爆破率估计。结果表明,反应和边界项的存在对上(下)爆破速率估计形式有重要影响。
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