检索结果-内蒙古大学图书馆

SSRN 2023年

作者： Tan, Xing Chen, Weiting He, Huan Wang, Tao Tang, Lihua State Key Laboratory of Mechanics and Control for Aerospace Structures Nanjing University of Aeronautics and Astronautics No. 29 Yudao Street Nanjing210016 China Institute of Vibration Engineering Research Nanjing University of Aeronautics and Astronautics Nanjing210016 China College of Emergency Management Nanjing Tech University Nanjing210009 China Department of Mechanical and Mechatronics Engineering The University of Auckland Auckland1010 New Zealand MIIT Key Laboratory of Multi-Functional Lightweight Materials and Structures Nanjing University of Aeronautics and Astronautics Nanjing210016 China

engineering structures are generally designed based linear elasticity assumptions. However, it is difficult to describe the connected structures using a simple linear system, due to factors such as sliding and friction at interfaces, and variations in contact areas during vibration processes. Therefore, it is necessary to develop an approach to tackle such systems with interface nonlinearities. In this paper, we proposed an extended free-interface component mode synthesis method. According to the proposed method, the substructures are separated at the nonlinear interfaces. Then the component mode synthesis procedure is carried out. It is shown that the nonlinear interface forces and their antiderivatives can be regarded as independent variables. By putting them together with the modal coordinates to form the state vector, it is convenient to synthesize the reduced order models in the state space. Also owing to this operation, the original properties of nonlinear interface forces can be preserved as much as possible, without any linearization. This method is suitable to non-proportionally damped structures with local nonlinearities such as mechanical structures with nonlinear spring and dashpot connections, rotor-bearing systems and so on. It also may be an alternative for the dynamic analysis of jointed structures with contact nonlinearities. Two numerical examples are presented to demonstrate the capability of the proposed method: (1) an eighteen degrees of freedom spring-dashpot-mass system with cubic spring and cubic dashpot interface connections is studied and (2) a more complex mechanical structure: a dual-rotor system with deep-groove ball bearing inter-shaft support. The numerical simulation results indicate that the dynamic responses of reduced order model match very well with that of the full model, revealing the high accuracy of the proposed method with low computational costs. © 2023, The Authors. All rights reserved.

关键词： Linear systems

来源：评论

学校读者我要写书评

暂无评论

Experiments on Motion and Oscillation controls of a Gantry Crane System Using Parallel Proportional controllers 5

Experiments on Motion and Oscillation Controls of a Gantry C...

引用

5th International Symposium on Material, mechatronics and Energy 2018, ISMME 2018

作者： Muhammad, A.K. Tandioga, R. Ka'Ka, S. Lewi, L. Rahman, A. Taufik, A. Center for Mechatronics and Control Systems Mechanical Engineering Department State Polytechnic of Ujung Pandang Makassar Indonesia

The purposes of this research are to formulate the mathematical model of the system, to propose an effective control scheme and to perform experiments on a laboratory scale. The system used in this paper consists of a trolley, a pendulum as load and a dc motor to drive the trolley. Mathematical model of trolley position and load angle were formulated considering voltage of the motor and damping constant of the air calculated specifically using energy balance. Two proportional (P) controllers were designed in parallel in such a way to drive the trolley and to reduce oscillation of the load. The system and the proposed control scheme were confirmed through experiments. The experimental results revealed that the motion and oscillation of the system can be controlled effectively. © Published under licence by IOP Publishing Ltd.

关键词： DC motors

来源：评论

学校读者我要写书评

暂无评论

A Direct Slip Ratio Estimation Method based on an Intelligent Tire and Machine Learning

arXiv

引用

arXiv 2021年

作者： Xu, Nan Tang, Zepeng Askari, Hassan Zhou, Jianfeng Khajepour, Amir The State Key Laboratory of Automotive Simulation and Control Jilin University Changchun Jilin130025 China The Department of Mechanical and Mechatronics Engineering University of Waterloo ONN2L3G1 Canada

Accurate estimation of the tire slip ratio is critical for vehicle safety, as it is necessary for vehicle control purposes. In this paper, an intelligent tire system is presented to develop a novel slip ratio estimation model using machine learning algorithms. The accelerations, generated by a triaxial accelerometer installed onto the inner liner of the tire, are varied when the tire rotates to update the contact patch. Meanwhile, the slip ratio reference value can be measured by the MTS Flat-Trac tire test platform. Then, by analyzing the variation between the accelerations and slip ratio, highly useful features are discovered, which are especially promising for assessing vertical acceleration. For these features, machine learning (ML) algorithms are trained to build the slip ratio estimation model, in which the ML algorithms include artificial neural networks (ANNs), gradient boosting machines (GBMs), random forests (RFs), and support vector machines (SVMs). Finally, the estimated NRMS errors are evaluated using 10-fold cross-validation (CV). The proposed estimation model is able to estimate the slip ratio continuously and stably using only the acceleration from the intelligent tire system, and the estimated slip ratio range can reach 30%. The estimation results have high robustness to vehicle velocity and load, where the best NRMS errors can reach 4.88%. In summary, the present study with the fusion of an intelligent tire system and machine learning paves the way for the accurate estimation of the tire slip ratio under different driving conditions, which create new opportunities for autonomous vehicles, intelligent tires, and tire slip ratio estimation. Copyright © 2021, The Authors. All rights reserved.

关键词： Tires

来源：评论

学校读者我要写书评

暂无评论

Automatic Sleep Spindle Detection and Analysis in Patients with Sleep Disorders 1

引用

2nd International Workshop on Human Brain and Artificial Intelligence, HBAI 2020 held in Conjunction with IJCAI-PRICAI 2020

作者： Chen, Chao Zhu, Xuequan Belkacem, Abdelkader Nasreddine Lu, Lin Hao, Long You, Jia Shin, Duk Tan, Wenjun Huang, Zhaoyang Ming, Dong Academy of Medical Engineering and Translational Medicine Tianjin University Tianjin300072 China Key Laboratory of Complex System Control Theory and Application Tianjin University of Technology Tianjin300384 China Department of Computer and Network Engineering College of Information Technology UAE University Al Ain15551 United Arab Emirates Zhonghuan Information College Tianjin University of Technology Tianjin300380 China Department of Electronics and Mechatronics Tokyo Polytechnic University Atsugi243-0297 Japan School of Computer Science and Engineering Northeastern University Shenyang110189 China Department of Neurology Xuanwu Hospital Capital Medical University Beijing100088 China

ISBN: (数字)9789811612886

ISBN: (纸本)9789811612879

Nowadays, Sleep disorder is a common disease, and spindle spindles are important features of the second stage non-rapid eye movement (NREM) sleep. In this paper, we propose an improved automatic detection method of spindles based on wavelet transform. The spindles automatic detector is mainly composed of wavelet transform and clustering. We collected the electroencephalography (EEG) signals of six patients with sleep disorders all night for ten hours, and then preprocessed the data and other operations, and then used our improved method to detect the sleep EEG signals by spindles. By comparing with the previous automatic detection method not improved and another automatic detection method, the results show that the accuracy of sleep spindles detection can be effectively improved. The accuracy of the improved detector is 5.19% higher than before, and 9.7% higher than that of another method based on amplitude threshold. Finally, we made a simple comparison between people with sleep disorders and normal people. We found that there were significant differences in spindle density between people with sleep disorders and people without sleep disorders. The average spindle density in the normal population averaged 2.59 spindles per minute. People with sleep disorders had an average spindle density of 1.32 spindles per minute. In future research, our research direction is to improve the accuracy of spindles automatic detection by improving the spindles detector and study the difference of spindles between patients with sleep disorders and normal people in a large number of samples, so that the difference of spindles can be used as the basis for the diagnosis of sleep disorders. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

Two‑Dimensional Black Phosphorus Nanomaterials:Emerging Advances in Electrochemical Energy Storage Science

引用

Nano-Micro Letters 2020年第12期12卷 284-317页

作者： Junye Cheng Lingfeng Gao Tian Li Shan Mei Cong Wang Bo Wen Weichun Huang Chao Li Guangping Zheng Hao Wang Han Zhang Guangdong Provincial Key Laboratory of Micro/Nano Optomechatronics Engineering College of Mechatronics and Control EngineeringShenzhen UniversityShenzhen 518060People’s Republic of China Collaborative Innovation Center for Optoelectronic Science and Technology International Collaborative Laboratory of 2D Materials for Optoelectronic Science and Technology of Ministry of Education and Guangdong ProvinceShenzhen UniversityShenzhen 518060People’s Republic of China Department of Mechanical Engineering Hong Kong Polytechnic UniversityHung HomKowloonHong KongPeople’s Republic of China Department of Materials Science and Engineering Drexel UniversityPhiladelphiaPA 19104USA Nantong Key Lab of Intelligent and New Energy Materials College of Chemistry and Chemical EngineeringNantong UniversityNantong 226019JiangsuPeople’s Republic of China

Two-dimensional black phosphorus(2D BP),well known as phosphorene,has triggered tremendous attention since the first discovery in *** unique puckered monolayer structure endows 2D BP intriguing properties,which facilitate its potential applications in various fields,such as catalyst,energy storage,sensor,*** to the large surface area,good electric conductivity,and high theoretical specific capacity,2D BP has been widely studied as electrode materials and significantly enhanced the performance of energy storage *** the rapid development of energy storage devices based on 2D BP,a timely review on this topic is in demand to further extend the application of 2D BP in energy *** this review,recent advances in experimental and theoretical development of 2D BP are presented along with its structures,properties,and synthetic ***,their emerging applications in electrochemical energy storage,including Li−/K−/Mg−/Na-ion,Li–S batteries,and supercapacitors,are systematically summarized with milestones as well as the *** from the fast-growing dynamic investigation of 2D BP,some possible improvements and constructive perspectives are provided to guide the design of 2D BP-based energy storage devices with high performance.

关键词： 2D black phosphorus Electronic structure Supercapacitors Batteries

来源：评论

学校读者我要写书评

暂无评论

Cross-Subject EEG Linear Domain Adaption Based on Batch Normalization and Depthwise Convolutional Neural Network

SSRN

引用

SSRN 2023年

作者： Li, Guofa Ouyang, Delin Yang, Liu Li, Qingkun Tian, Kai Wu, Baiheng Guo, Gang College of Mechanical and Vehicle Engineering Chongqing University Chongqing400044 China Institute of Human Factors and Ergonomics College of Mechatronics and Control Engineering Shenzhen University Shenzhen518060 China School of Transportation and Logistics Engineering Wuhan University of Technology Wuhan430063 China State Key Laboratory of Automotive Safety and Energy School of Vehicle and Mobility Tsinghua University Beijing100084 China Institute for Transport Studies University of Leeds LeedsLS1 9JT United Kingdom Department of ICT and Natural Science Norwegian University of Science and Technology Ålesund6009 Norway

Electroencephalogram (EEG)-based emotion recognition has been widely used in affective computing. However, the study on improving recognition accuracy across individuals is insufficient. In this study, a new linear domain adaption approach with experiment-level batch normalization and single-layer depthwise convolutional neural network is proposed. In particular, the experiment-level batch normalization and depthwise convolutional neural network can be integrated as a linear mapping with a scaling parameter and a translation parameter. By linear mapping, difference between subjects in different domain can be effectively diminished, and the mapping parameters can be used to further investigate EEG emotion mechanism. The domain adaption experiments are conducted with SJTU emotion EEG dataset and SJTU emotion EEG dataset-IV, which are divided into source domain and target domain to validate the recognition effect across individuals. Multiple traditional machine learning and deep learning classifiers are used to examine the effectiveness of our proposed approach. By mapping the EEG data from source domain to target domain, the increment of recognition accuracy is up to 61.11% when using the support vector machine classifier. The highest recognition accuracy 97.22% is achieved when using the logistic regression classifier. The scaling and translation parameters in the mapping procedure are then analyzed with statistical methods. It is found that EEG signal waves in the same emotion category are highly similar and EEG data have characteristics including integration of channels and hierarchy of frequency bands. In addition, our results indicate that emotion complexity and emotion sensitiveness of brain cortex regions can affect the correlations between channels. © 2023, The Authors. All rights reserved.

关键词： Emotion Recognition

来源：评论

学校读者我要写书评

暂无评论

Interval type-3 fuzzy Wiener model for nonlinear dynamic systems: Application to continuous stirred tank reactor

引用

Chaos, Solitons & Fractals 2025年 199卷

作者： Tarek R. Khalifa Xian Yu Amin Sharafian Xiaopin Zhong Zongze Wu College of Mechatronics and Control Engineering Shenzhen University Shenzhen 518060 Guangdong China College of Computer Science and Software Engineering Shenzhen University Shenzhen 518060 Guangdong China Department of Industrial Electronics and Control Engineering Faculty of Electronic Engineering Menoufia University Menouf 32952 Menoufia Egypt Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ) Shenzhen University Shenzhen 518060 Guangdong China

This paper proposes a novel interval type-3 Takagi–Sugeno–Kang fuzzy Wiener model (IT3TSK-FWM) to address the challenge of modeling nonlinear dynamic systems with complex uncertainties. The proposed model adopts a Wiener structure, where the linear dynamic part is represented by an autoregressive moving average (ARMA) system and the nonlinear static part is represented by an IT3TSK fuzzy system. First, we introduce a novel rule firing strength-based algorithm to eliminate the dependency on predefined structures, allowing the proposed IT3TSK-FWM to adapt its structure online. Then, we introduce a novel Lyapunov-based learning algorithm to ensure convergence of the estimation error to zero. Furthermore, we employ a direct defuzzification method to enhance computational efficiency. Finally, the effectiveness of the IT3TSK-FWM is demonstrated through its application to a continuous stirred tank reactor system, validating the model’s robustness and performance in handling nonlinear dynamics.

关键词： Continuous stirred tank reactor (CSTR) Interval type-3 fuzzy systems Nonlinear dynamic systems Parameter learning Structure learning

来源：评论

学校读者我要写书评

暂无评论

Secure V2X Environment using Blockchain Technology 20

Secure V2X Environment using Blockchain Technology

引用

24th Evaluation and Assessment in Software engineering Conference, EASE 2020

作者： Taiyaba, Ms. Akbar, Muhammad Azeem Qureshi, Bushra Shafiq, Muhammad Hamza, Muhammad Riaz, Tanveer University of Science and Techonolgoy China Hefei China Department of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China School of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing China School of Software Engineering Chongqing University Chongqing China Department of Mechatronics and Control Engineering Uet Lahore Faisalabad Pakistan

ISBN: (纸本)9781450377317

Vehicle to everything (V2X) is the new and revolutional phenomena of the recent era. In V2X environment, the data security of data and information is the most significant parameter, as the information is shared on the shared network. To secure the information in V2X environment;the blockchain technology can play a critical role as it consists of the powerful data encryption and decryption algorithms. To implement the characteristics of blockchain in V2X environment, the practitioners face various challenges. The key aim of this study is to develop a hypothetical framework that renders the impact of challenging factors on the implementation of blockchain in V2X paradigm. We have conducted systematic literature review approach and identified the 10 challenges that are critical to address for the successful implementation of blockchain technology in V2X network. We believe that the findings of this study serves as knowledge base for the researchers and practitioners to develop the effective strategies for the successful implementation of blockchain characteristics in V2X environment. © 2020 ACM.

关键词： Blockchain

来源：评论

学校读者我要写书评

暂无评论

Stochastic Resonance Array for Designing Noise-Boosted Filter Banks to Enhance Weak Multi-Harmonic Fault Characteristics of Machinery

SSRN

引用

SSRN 2023年

作者： Qiao, Zijian Zhang, Chenglong Zhang, Cailiang Ma, Xin Zhu, Ronghua Lai, Zhihui Zhou, Shengtong Zhejiang Provincial Key Laboratory of Part Rolling Technology School of Mechanical Engineering and Mechanics Ningbo University Zhejiang Ningbo315211 China Yangjiang Offshore Wind Power Laboratory Guangdong Yangjiang529500 China Ocean College Zhejiang University Zhejiang Zhoushan316021 China Department of Mechanical and Automation Engineering The Chinese University of Hong Kong China Guangdong Provincial Key Laboratory of Micro/Nano Optomechatronics Engineering College of Mechatronics and Control Engineering Shenzhen University Shenzhen518060 China State Key Laboratory of Performance Monitoring and Protecting of Rail Transit Infrastructure East China Jiaotong University Jiangxi Nanchang330013 China

Noise in stochastic resonance (SR) is beneficial to enhance weak useful information and has been widely stuided and applied to real-world signal detection. In tristable SR, however, the depth of middle potential well is not equal to those of both left and right potential wells and adjusting the system parameters would change the depth and width of three potential wells simultaneously. Therefore, the role of potential-well width and potential-barrier height or potential-well depth in a triple-well potential on SR has not been investigated separately yet and the effect of a both uniform depth and different depth between left/right potential well and middle well in a triple-well potential on SR has not been explored yet. Meanwhile, SR is used to weak signal detection and early fault diagnosis, but it ofter processes a complex signal into a sine shaped one, resulting in the loss of multi-harmonic signature embedded in the raw signal. To advoid this, this paper investigates underdamped SR induced by a symmetric triple-well potential with a uniform depth. Then, a SR array based noise-boosted filter bank method is proposed to enhance weak multi-harmonic fault characteristics for early fault diagnosis of machinery. Theoretical results using spectral amplification factor to quantify SR indicate that tristable SR induced by a symmetric triple-well potential with a uniform depth is supperior to that induced by a symmetric triple-well potential with a different depth, increasing the potential-well width would maximize the spectral amplification factor of the tristable SR but keep the optimal noise intensity unchange basically, and increasing the potential-well depth would decrease the spectral amplification factor of the tristable SR but enlarge the optimal noise intensity obviously. Experimental results demonstrate that the proposed method is able to enhance weak multi-harmonic fault characteristics for early fault diangosis of roller bearings. Comparing with accugram and mini

关键词： Failure analysis

来源：评论

学校读者我要写书评

暂无评论

Partial Discharge Signal Selection Method for Interference Diagnostics of Insulating Materials

Partial Discharge Signal Selection Method for Interference D...

引用

2019 Radiation and Scattering of Electromagnetic Waves, RSEMW 2019

作者： Dubyago, Marina Poluyanovich, Nikolay SFEDU Inst. of Radio Eng. Systems and Control Department of Electrical Engineering and Mechatronics Taganrog Russia

ISBN: (纸本)9781728106892

The work is devoted to the prediction of the residual insulation life of power cable lines, based on the electric method of measuring partial discharges. It is shown that partial discharges signals are selected among different types of interference using the partial discharges signal selection method using the wavelet transform. The issues of detection and assessment of the level of partial discharges in the insulation materials of cable systems. © 2019 IEEE.

关键词： Wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：