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14th International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2022

作者： Feng, Dongyang Jiang, Chunying Lu, Mowu Li, Shengyu Ye, Changlong School of Mechanical and Electrical Engineering Shenyang Aerospace University Shenyang110136 China School of Computer Science Shenyang Aerospace University Shenyang110136 China

ISBN: (纸本)9781665499781

In order to research the operating status of the aircraft fuel supply system and realize its component-level fault simulation, the paper establishes an aircraft fuel supply system simulation model based on AMESim modeling simulation technology, and performs component-level fault injection to the model. The model built simulates the normal working conditions of the fuel supply system, and obtains the fuel quality, temperature and pressure changes of each fuel tank. The simulation result shows that the model can effectively simulate the working conditions of the aircraft fuel supply system, which validates authenticity and effectiveness of the model built. Through component-level fault injection of key components such as fuel supply booster pump, transmission valve, fuel tank, etc., the article simulates and analyzes the impact of different component-level failure modes on the fuel supply system, and the result shows that the adopted fault injection method realizes the modeling and simulation of the component-level fault types on the aircraft fuel supply system. The research in this paper provides a valuable reference for the analysis of aircraft fuel system performance and the modelling simulation of component-level fault types. © 2022 IEEE

关键词： Software testing

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Common Problems in Software Requirement engineering Process: An Overview of Pakistani Software Industry 4

Common Problems in Software Requirement Engineering Process:...

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4th International Conference on Advancements in Computational sciences, ICACS 2023

作者： Khalid, Sadia Rasheed, Uzair Muneer, Mishal Butt, Wasi Haider Mehmood, Rabia Qamar, Usman College of Electrical and Mechanical Engineering NUST Department of Computer and Software Engineering Islamabad Pakistan University of Lahore Department of Computer Science and IT Lahore Pakistan Lahore College for Women University Department of Computer Science Lahore Pakistan

ISBN: (纸本)9781665463775

Requirement engineering is a major phase of software development process. A project's success mainly depends on an efficient and effective requirement engineering process. Practices have been defined to ensure successful requirement engineering of software projects. Yet the professionals face numerous issues during this phase. This paper explores the software requirement engineering practices from in the software industry of Pakistan. It highlights the common problems faced by the software professionals, as well as commonly deployed solutions and practices. © 2023 IEEE.

关键词： Requirements engineering

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Fault Diagnosis of Hydraulic System of Aircraft Landing Gear Based on CNN-SVM

Fault Diagnosis of Hydraulic System of Aircraft Landing Gear...

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2022 International Conference on Intelligent Transportation, Big Data and Smart City, ICITBS 2022

作者： Feng, Dongyang Jiang, Chunying Lu, Mowu Li, Shengyu Ye, Changlong Shenyang Aerospace University The School of Mechanical and Electrical Engineering Shenyang110136 China Shenyang Aerospace University The School of Computer Science Shenyang110136 China

ISBN: (纸本)9781665497213

Aiming at the difficulty of extracting fault features on the aircraft landing gear hydraulic system, traditional feature extraction methods rely heavily on expert knowledge, and the accuracy of fault diagnosis is difficult to guarantee. This paper combined convolutional neural network (CNN) and support vector machine classification algorithm (SVM) to propose a fault diagnosis model suitable for aircraft landing gear hydraulic system. The diagnosis model adopted the one-dimensional multi-channel CNN network structure, took the original pressure signal of multiple nodes as input, adaptively extracts the feature value of the pressure signal through CNN, and built a multi-feature fusion layer to realize the feature fusion of the pressure signal of each node. Finally, input the fused features into the SVM classifier to complete the fault classification. In order to verify the proposed fault diagnosis model, a typical aircraft landing gear hydraulic system simulation model was built based on AMESim, and several typical fault types such as hydraulic pump leakage, actuator leakage, selector valve clogging and accumulator failure were simulated, and corresponding Fault type data set, and use overlapping sample segmentation for data enhancement. Experiments show that the diagnosis accuracy of the proposed fault diagnosis algorithm can reach 99.25%, which can realize the adaptive extraction of the fault features of the aircraft landing gear hydraulic system, and the features after multi-dimensional fusion have better discrimination, compared with traditional feature extraction methods more effective and more accurate. © 2022 IEEE.

关键词： Failure analysis

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INTEGRATION OF IOT NETWORK AND SENSORS WITH A FULL-SIZED QUADRUPED IN A SIMULATED HUMAN-CENTERED ENVIRONMENT

INTEGRATION OF IOT NETWORK AND SENSORS WITH A FULL-SIZED QUA...

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ASME 2024 International mechanical engineering Congress and Exposition, IMECE 2024

作者： Ho, Jonathan Cajuste, Jefferson Schneidler, Alexander Tatoglu, Akin Sohn, Kiwon Department of Electrical and Computer Engineering University of Hartford West HartfordCT United States Robotics Engineering University of Hartford West HartfordCT United States Department of Mechanical Aerospace and Acoustical Engineering University of Hartford West HartfordCT United States

ISBN: (纸本)9780791888636

This paper presents the updated mechanical design, integrated IoT network, and developed inverse kinematics and gait models of HARQ (Human Assistive and Robust Quadruped). Based on the mechanical limitations of its predecessor, a new connector, foot, planetary gearbox, leg, and body design are presented. Due to additions and improvements to the mechanical design, new inverse kinematics and gait modes are developed to permit HARQ to navigate a physical workspace. To make use of these improvements, an IoT network is integrated with HARQ to allow the quadruped to wirelessly gather and respond to information in real-time. To evaluate HARQ, an indoor experimental space was designed to accommodate an isolated IoT network, sufficient workspace, and simulate a typical human environment. HARQ was able to respond to wireless motion sensor data proctored over an MQTT network. The results are promising steps towards IoT integration into robots. Copyright © 2024 by ASME.

关键词： Inverse kinematics

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DropletMask: Leveraging visual data for droplet impact analysis

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Droplet 2024年第4期3卷 10-20页

作者： Chuanning Zhao Youngjoon Suh Yoonjin Won Department of Mechanical and Aerospace Engineering University of CaliforniaIrvineIrvineCaliforniaUSA Department of Electrical Engineering and Computer Science University of CaliforniaIrvineIrvineCaliforniaUSA

Machine learning-assisted computer vision represents a state-of-the-art technique for extracting meaningful features from visual data *** approach facili-tates the quantitative analysis of images,enabling object detection and *** this study,we utilize advanced computer vision to precisely identify droplet motions and quantify their impact forces with spatiotemporal resolution at the picoliter or millisecond ***,captured by a high-speed camera,are denoised through neuromorphic image *** processed images are employed to train con-volutional neural networks,allowing the creation of segmented masks and bounding boxes around moving *** trained networks further digitize time-varying multi-dimensional droplet features,such as droplet diameters,spreading and sliding motions,and corresponding impact *** innovative method offers accurate measurement of small impact forces with a resolution of approximately 10 pico-newtons for droplets in the micrometer range across various configurations with the time resolution at hundreds of microseconds.

关键词： visual impact utilize

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Explainable Artificial Intelligence (XAI) Empowered Digital Twin on Soil Carbon Emission Management Using Proximal Sensing 3

Explainable Artificial Intelligence (XAI) Empowered Digital ...

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3rd IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2023

作者： An, Di Chen, YangQuan University of California Merced Electrical Engineering & Computer Science Merced United States University of California Merced Eecs and Mechanical Engineering Merced United States

ISBN: (纸本)9798350318470

Digital Twin can be developed to represent a certain soil carbon emissions ecosystem that takes into account various parameters such as the type of soil, vegetation, climate, human interaction, and many more. With the help of sensors and satellite imagery, real-time data can be collected and fed into the digital model to simulate and predict soil carbon emissions. However, the lack of interpretable prediction results and transparent decision-making results makes Digital Twin unreliable, which could damage the management process. Therefore, we proposed an explainable artificial intelligence (XAI) empowered Digital Twin for better managing soil carbon emissions through AI-enabled proximal sensing. We validated our XAIoT-DT components by analyzing real-world soil carbon content datasets. The preliminary results demonstrate that our framework is a reliable tool for managing soil carbon emissions with relatively high prediction results at a low cost. © 2023 IEEE.

关键词： Decision making

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Integrating Innovative Pedagogies in engineering: The Impact of Temperature on PV Cells 10

Integrating Innovative Pedagogies in Engineering: The Impact...

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10th International Conference on Control, Instrumentation and Automation, ICCIA 2024

作者： Samadani, Mehraneh Moradi, Elahe Gavagsaz-Ghoachani, Roghayeh Islamic Azad University Science and Research Branch Environmental Science and Engineering Department Tehran Iran Shahre Rey Branch Department of Electrical and Computer Engineering Tehran Iran Shahid Beheshti University Faculty of Mechanical and Energy Engineering Renewable Energy Engineering Department Tehran Iran

ISBN: (纸本)9798331509972

This paper explores the impact of temperature on photovoltaic (PV) cell performance, emphasizing the critical role of innovative teaching methods in engineering education. By integrating illustrative representations and analogies, such as the popcorn analogy, complex concepts related to solar energy, and PV cell efficiency are made accessible. The study examines key factors, like the Shockley five-parameter model and the effects of environmental conditions on PV cell efficiency, highlighting how higher temperatures reduce open-circuit voltage (VOC) and overall power output. Using visual aids and storytelling techniques, aims to enhance student understanding and retention of these intricate topics. The findings underscore the importance of educational strategies that foster deeper comprehension and critical thinking, ultimately preparing future engineers to contribute effectively to sustainable energy solutions. This approach not only aids in better grasping the technical aspects but also cultivates a sense of environmental responsibility among students. © 2024 IEEE.

关键词： Cell engineering

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A Novel Obstacle Avoidance Consensus Control for Multi-AUV Formation System

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IEEE/CAA Journal of Automatica Sinica 2023年第5期10卷 1304-1318页

作者： Linling Wang Daqi Zhu Wen Pang Chaomin Luo the Shanghai Engineering Research Center of Intelligent Maritime Search&Rescue and Underwater Vehicles Shanghai Maritime UniversityShanghai 201306China the Shanghai Maritime University Shanghai 201306China the School of Mechanical Engineering University of Shanghai for Science and TechnologyShanghai 200093China the Department of Electrical and Computer Engineering Mississippi State UniversityMississippi StateMS 39762 USA

In this paper, the fixed-time event-triggered obstacle avoidance consensus control for a multi-AUV time-varying formation system in a 3D environment is presented by using an improved artificial potential field and leader-follower strategy(IAPF-LF). Firstly, the proposed fixed-time control can achieve the desired multi-AUV formation within a fixed settling time in any initial system state. Secondly, an event-triggered communication strategy is developed to govern the communication among AUVs, and the communication energy consumption can be decremented. The time-varying formation obstacle avoidance control algorithm based on IAPF-LF is designed to avoid static and dynamic obstacles, the desired formation is maintained in the presence of external disturbances, and there is no Zeno behavior under the fixed-time event-triggered consensus control *** stability of the system is proved by the Lyapunov function and inequality scaling. Finally, simulation examples and water pool experiments are reported to verify the performance of the proposed theoretical algorithms.

关键词： Autonomous underwater vehicle(AUV) event-triggered control fixed-time consensus formation obstacle avoidance improved artificial potential field and leader-follower strategy(IAPF-LF)

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Indonesia Traffic Sign Recognition Using a One-Stage Detector YOLOv8 7

Indonesia Traffic Sign Recognition Using a One-Stage Detecto...

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7th International Conference on Vocational Education and electrical engineering, ICVEE 2024

作者： Yohannes, Ervin Mulyono, Alfito Prapanca, Aditya Utaminingrum, Fitri Shih, Timothy K. Lin, Chih-Yang Muchtar, Kahlil State University of Surabaya Informatic Engineering Surabaya Indonesia University of Brawijaya Informatic Engineering Malang Indonesia National Central University Computer Science and Information Engineering Taoyuan Taiwan National Central University Mechanical Engineering Taoyuan Taiwan Syiah Kuala University Electrical and Computer Engineering Banda Aceh Indonesia

ISBN: (纸本)9798331505103

Traffic is a key element in the transportation system. However, the increase in road accidents, which can be attributed to people's lack of knowledge about traffic, is a growing concern. The primary solution to address this problem is to enhance traffic knowledge. The application of artificial intelligence, particularly object detection methods using detector-based deep learning, has proven efficient in real-time object detection. In this research, object recognition is performed using YOLOv8 (You Only Look Once). These models are trained and tested for their performance in detecting traffic signs in Indonesia. The results show that the mAP 50 and mAP 5 0 - 9 5 values were 9 9. 5 0 % and 9 9. 0 1 %, respectively, for the YOLOv8 model. This demonstrates that YOLOv8 is the best-performing model for traffic sign detection in Indonesia. © 2024 IEEE.

关键词： Traffic signs

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Safety Flight Control Design of a Quadrotor UAV With Capability Analysis

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IEEE Transactions on Cybernetics 2023年第3期53卷 1738-1751页

作者： Zhou, Xiaobin Yu, Xiang Guo, Kexin Zhou, Sicheng Guo, Lei Zhang, Youmin Peng, Xiaoyan Hunan University State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body College of Mechanical and Vehicle Engineering Hunan Changsha410072 China Beihang University School of Automation Science and Electrical Engineering Beijing100191 China Beihang University School of Aeronautic Science and Engineering Beijing100191 China Concordia University Department of Mechanical Industrial and Aerospace Engineering MontrealQCH3G 1M8 Canada

This article considers the safety control problem of a quadrotor unmanned aerial vehicle (UAV) subject to actuator faults and external disturbances, based on the quantization of system capability and safety margin. First, a trajectory function is constructed online with backpropagation of system dynamics. Therefore, a degraded trajectory is gracefully regenerated, via the tradeoff between the remaining system capability and the expected derivatives (velocity, jerk, and snap) of the trajectory. Second, a control-oriented model is established into a form of strict feedback, integrating actuator malfunctions and disturbances. Therefore, a retrofit dynamic surface control (DSC) scheme based on the control-oriented model is developed to improve the tracking performance. When comparing to the existing control methods, the compensation ability is analyzed to determine whether the faults and disturbances can be handled or not. Finally, simulation and experimental studies are conducted to highlight the efficiency of the proposed safety control scheme. © 2013 IEEE.

关键词： Pulse width modulation

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