This research paper explores the realm of fault detection in distributed motors through the vision of the internet of electrical drives. This paper aims at employing artificial neural networks supported by the data co...
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This research paper explores the realm of fault detection in distributed motors through the vision of the internet of electrical drives. This paper aims at employing artificial neural networks supported by the data collected by the internet of distributed devices. Cross-verification of results offers reliable diagnosis of industrial motor faults. The proposed methodology involves the development of a cyber-physical system architecture and mathematical modeling framework for efficient fault detection. The mathematical model is designed to capture the intricate relationships within the cyber-physical system, incorporating the dynamic interactions between distributed motors and their edge controllers. Fast Fourier transform is employed for signal processing, enabling the extraction of meaningful frequency features that serve as indicators of potential faults. The artificial neural network based fault detection system is integrated with the solution, utilizing its ability to learn complex patterns and adapt to varying motor conditions. The effectiveness of the proposed framework and model is demonstrated through experimental results. The experimental setup involves diverse fault scenarios, and the system's performance is evaluated in terms of accuracy, sensitivity, and false positive rates.
A distributed IoT-based energy management system is planned and executed in this article. We tested the suggested strategy at Duhok and Shekhan, two institutes far apart. Utilizing ESP32 microcontrollers, the suggeste...
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A distributed IoT-based energy management system is planned and executed in this article. We tested the suggested strategy at Duhok and Shekhan, two institutes far apart. Utilizing ESP32 microcontrollers, the suggested system features two main phases (Monitoring and Controlling). There has been carefully monitoring and regulation of all power usage indicators, including Voltage, current, and Frequency. Three primary approaches are taken with each institution: monitoring all metrics for the whole institution, monitoring all metrics for the uncontrolled Lab, and monitoring and regulating all metrics for the controlled Lab. This technology gathers data incessantly, resulting in a large database for energy management. Up to this point, we have collected over two million data rows, and by the end of 2023, we anticipate collecting over ten million. Server-side protocols Message Query Telemetry Transport (MQTT) and Hypertext Transfer Protocol (HTTP) were used to collect the implementation results. According to the implemented findings, one can see that the energy consumption reduction ratios for the Duhok-controlled laboratory were (Weekly = 1.94%, Monthly = 21.65%, and Year-to-Date = 26.38%). There are several critical values recorded during the system's implementation at Shekhan Insti-tute: maximum Voltage (281.2 V), Maximum Frequency (86.3 Hz), and minimum Power-Factor (0.07).
Accelerated by the concept of the prominent internet of things, various power line systems are envisioned to be integrated into wireless communication networks to enhance the quality of service of ubiquitous users. In...
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ISBN:
(纸本)9780738113456
Accelerated by the concept of the prominent internet of things, various power line systems are envisioned to be integrated into wireless communication networks to enhance the quality of service of ubiquitous users. In order to improve the delay performance of these integrated networks, intensive computation tasks can be partly offloaded to the network edge and processed by edge devices. In this paper, we model a collaborated cloud and edge network consists of power line systems and wireless communications, considering the terrible transmission environment of offloading devices. Under the hierarchical offloading strategy proposed in this work, a joint delay optimization problem is formulated and solved with the constraints of network computation capability. Finally, numerical results demonstrate that the proposed scheme shows superiority to other benchmark schemes as regards to minimizing the delay of the end equipments.
In the centralized Wireless Sensor Network (WSN) architecture there exists a central entity, which acquires, processes and provides information from sensor nodes. Conversely, in the WSN applications in distributed Int...
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ISBN:
(纸本)9781479930838
In the centralized Wireless Sensor Network (WSN) architecture there exists a central entity, which acquires, processes and provides information from sensor nodes. Conversely, in the WSN applications in distributed internet of things (IoT) architecture, sensor nodes sense data, process, exchange information and perform collaboratively with other sensor nodes and end users. In order to maintain the trustworthy connectivity and the accessibility of distributed IoT, it is important to establish secure links for end-to-end communication with proper authentication. The authors propose an implicit certificate-based authentication mechanism for WSNs in distributed IoT applications. The developed two-phase authentication protocol allows the sensor nodes and the end-users to authenticate each other and initiate secure connections. The proposed protocol supports the resource scarcity of the sensor nodes, heterogeneity and scalability of the network. The performance and security analysis justify that the proposed scheme is viable to deploy in resource constrained WSNs.
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