Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering)
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Published By Bentham Science

2352-0965

Author(s):  
Yan Xiong ◽  
Jiatang Cheng

Background: The generator is a mechanical device that converts other forms of energy into electrical energy. It is widely used in industrial and agricultural production and daily life. Methods: To improve the accuracy of generator fault diagnosis, a fault classification method based on the bare-bones cuckoo search (BBCS) algorithm combined with an artificial neural network is proposed. For this BBCS method, the bare-bones strategy and the modified Levy flight are combined to alleviate premature convergence. After that, the typical fault features are obtained according to the vibration signal and current signal of the generator, and a hybrid diagnosis model based on the back-propagation (BP) neural network optimized by the proposed BBCS algorithm is established. Results: Experimental results indicate that BBCS exhibits better convergence performance in terms of solution quality and convergence rate. Furthermore, the hybrid diagnosis method has higher classification accuracy and can effectively identify generator faults. Conclusion: The proposed method seems effective for generator fault diagnosis.


Author(s):  
Chandrashekhar Virupakshagouda Patil ◽  
Suma Suryanarayana Suryanarayana

Background: It is being considered that conventional methods for testing the dual port memories might not be suitable for the Three-Dimensional Integrated Circuit (3-D IC) structures due to the presence of the limited test vectors with heterogeneous integration. Objective: Find out a novel test methodology DPRAMs in 3-D IC structures. Methods: This paper has taken the approach called as Application Specific Integrated Chips(ASIC) to gain insights on Front-End behavioral testing and Back-End routability of the dual port memories integrated with complex Serial Advanced Technology Attachment (Serial-ATA) design, in a 3-D IC structure. The presented implementation is using commercially available dual port memories from two different vendors. The commercially available DesignWare Advanced Host Controller Interface (SATA/AHCI) is based on the Serial Advanced Technology Attachment (SATA 2.6), AHCI host and external SATA (eSATA) standard bus architecture and being used with My_foundry’s 14nm Low Power (14LP) process technology for logical and physical implementations. Results: This paper shows memory testing in both implementation/verification in a readily built-up SATA test environment. Conclusion: It is being considered that the approach described here might be used as a tool/environment for evaluating any vendor's DPRAMs/2Ports RAMs/2Ports Register Files. As a result, it offers an alternative to the traditional test methodology.


Author(s):  
Muhammad Ahmad ◽  
Chunyang Gong ◽  
Yixin Chen ◽  
Zhixin Wang ◽  
Hui Li

Background: High-voltage direct current (HVDC) is suitable for high capacity and longdistance power transmission, thus becoming ideal for connecting renewable energies such as solar power and wind power to grids. Objective: Overhead lines in HVDC are vulnerable to short-circuit faults. Non-permanent DC short circuit faults are the most common in HVDC transmission, which can lead to pause in power transmission and interruption in large grids. Thereby, it is crucial to deploy techniques to suppress fault current. Method: To lower the fault current economically, a coordinated fault current limiting strategy based on a hybrid multilevel modular converter (MMC) is proposed in this paper. Results: Combining hybrid MMC and small-capacity DC circuit breaker reduces total IGBTs required and avoids MMC blocking during pole-to-ground short-circuit fault. This approach is verified using a two-terminal MMC-based system in PSCAD/EMTDC simulation environment. Conclusion: By implementing the introduced scheme, the peak fault current can be lowered by 33.0% using hybrid-MMC with 80% of FBSMs. Economic efficiency can be improved by adopting proposed scheme.


Author(s):  
Xiaoting Lu ◽  
Yang Li ◽  
Zailiang Chen

Objective: Ironless, permanent magnet, synchronous linear (IPMSL) motors are applied widely in precision servo control for the nonexistence of cogging forces and comparatively small fluctuations in thrust and speed. Method: The air and water cooling structures are designed by assuming the heat loss in the motor operations is the source for the distribution of the temperature field in the analysis under natural cooling. Conclusion: The temperature fields of the linear motor under the two cooling modes are compared and analyzed, which helps monitor the temperature of linear motors during development and operations.


Author(s):  
Ashutosh Sharma

In the present era of research and technology, several emerging concepts, like Wireless Sensor Networks (WSN), Body Wireless Sensor Networks (BWSN), Internet of Things (IoT), Cloud, Fog, Edge, SDN, and Big Data Analytics, can support IoT for design and development of intelligent systems in diverse domains. This special issue aims to concentrate on all aspects and future research directions related to this specific area of multimedia-based emerging technologies. We received 22 manuscripts in total for this special issue across the globe, and after the rigorous review process, only 5 manuscripts have been accepted for publication. The commitments for this Special Issue are reviewed as follows: Feng Zhao and Gaurav Dhiman contribute an article titled “Analysis of Data Point Cloud Preprocessing and Feature Angle Detection Algorithm” In this paper, the theory of computer vision and reverse engineering has been used to obtain the data of the segmented hull with the method of digitizing the physical parts. The simulation results show that the efficiency of the edge extraction algorithm based on mathematical morphology is 30%, which is found to be higher than the mesh generation method. An adaptive corner detection algorithm based on the edge can adaptively determine the size of the support area and accurately detect the corner position [1].......


Author(s):  
Nayli Adriana Azhar ◽  
Nurul Asyikin Mohamed Radzi ◽  
Wan Siti Halimatul Munirah Wan Ahmad

: Multi Criteria Decision Making (MCDM) helps decision makers (DMs) solve highly complex problems. Accordingly, MCDM has been widely used by DMs from various fields as an effective and reliable tool for solving various problems, such as in site and supplier selection, ranking and assessment. This work presents an in-depth survey of past and recent MCDM techniques cited in the literature. These techniques are mainly categorised into pairwise comparison, outranking and distance-based approaches. Some well-known MCDM methods include the Analytical Hierarchy Process (AHP), Analytical Network Process (ANP), Elimination et Choix Traduisant la Realité (ELECTRE), Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). Each of these methods is unique and has been used in a vast field of interest to support DMs in solving complex problems. For a complete survey, discussions related to previous issues and challenges and the current implementation of MCDM are also presented.


Author(s):  
Bingwei Gao ◽  
Hao Guan ◽  
Wenming Tang ◽  
Wenlong Han ◽  
Shilong Xue

: In order to obtain the precise mathematical model of the position control system of the hydraulic quadruped robot, and to meet the requirements of the system parameters in different stages of motion, this paper studies the position control system of the single-leg joint of the hydraulic quadruped robot: First of all, this paper uses the closed-loop indirect identification method to identify the position of the leg joints of the hydraulic quadruped robot to obtain the mathematical model of the system; And then, the speed PID control algorithm and speed planning algorithm are designed, so that the system can quickly respond to the changes of system input according to the requirements of different speeds; Finally, the joint position control system of the hydraulic quadruped robot is simulated and verified by experiments. Background: The mathematical model of the positioning system of the hydraulic quadruped robot is clear, but the parameters in the model have the characteristics of uncertainty and time-variation. In the joint position control system of a hydraulic quadruped robot, different motion stages have different requirements for system parameters. Objective: The purpose of this study is to obtain the precise mathematical model of the position control system of the hydraulic quadruped robot and to meet the requirements of the system parameters in different stages of motion. Method: This research takes the hydraulic quadruped robot single-leg system as the research object and uses the closed-loop indirect identification method to identify the position of the leg joints of the hydraulic quadruped robot to obtain the mathematical model of the system. Then, the speed PID control method is designed and compared with the ordinary PID control by taking the positioning control accuracy of the robot before touching the ground as a standard to carry out the controlled trial. Results: In this research, the identification method and control algorithm are designed, and finally, the simulation and experimental research are carried out. The results of the simulation and experiment verify the correctness of the identification method and the effectiveness of the control algorithm. Conclusion: First of all, this paper uses the closed-loop indirect identification method to identify the position of the leg joints of the hydraulic quadruped robot to obtain the mathematical model of the system. Then, the speed PID control algorithm and speed planning algorithm are designed so that the system can quickly respond to the changes of system input according to the requirements of different speeds.


Author(s):  
Runze Liu ◽  
Guangwei Yan ◽  
Hui He ◽  
Yubin An ◽  
Ting Wang ◽  
...  

Background: Power line inspection is essential to ensure the safe and stable operation of the power system. Object detection for tower equipment can significantly improve inspection efficiency. However, due to the low resolution of small targets and limited features, the detection accuracy of small targets is not easy to improve. Objective: This study aimed to improve the tiny targets’ resolution while making the small target's texture and detailed features more prominent to be perceived by the detection model. Methods: In this paper, we propose an algorithm that employs generative adversarial networks to improve small objects' detection accuracy. First, the original image is converted into a super-resolution one by a super-resolution reconstruction network (SRGAN). Then the object detection framework Faster RCNN is utilized to detect objects on the super-resolution images. Result: The experimental results on two small object recognition datasets show that the model proposed in this paper has good robustness. It can especially detect the targets missed by Faster RCNN, which indicates that SRGAN can effectively enhance the detailed information of small targets by improving the resolution. Conclusion: We found that higher resolution data is conducive to obtaining more detailed information of small targets, which can help the detection algorithm achieve higher accuracy. The small object detection model based on the generative adversarial network proposed in this paper is feasible and more efficient. Compared with Faster RCNN, this model has better performance on small object detection.


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