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18th Chinese Intelligent systems Conference, CISC 2022

作者： Wang, Na Li, Yang Peng, Kun School of Control Science and Engineering Tiangong University Tianjin300387 China Tianjin Key Laboratory of Intelligent Control of Electrical Equipment University Tianjin300387 China Key Laboratory of low light level electromechanical system technology of Ministry of education Tianjin University Tianjin300387 China

ISBN: (纸本)9789811962028

A fault diagnosis method via Single Class Probability Density Learning for the actuator is proposed in this paper. Firstly, for the normal current data of the original actuator, the Fuzzy c-Means approach is combined with the matrix transformation. Then the Single Class Learning process is realized. Thus the distribution centers of the normal current data and the Probability Density control Threshold are obtained. On this basis, the fault diagnosis model is established. Secondly, for the actuator data to be tested, the Principal Component Analysis is adopted to reduce their dimension. Then the Affinity Propagation Clustering method is improved and the new centers of clustering are acquired by the test data. Additionally, the original distribution centers of current are compared with the new centers of clustering. So the actuator fault is diagnosed quickly. Finally, by some actuator measured data simulation, the effectivity of the proposed approach is verified in construct with the traditional methods. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Failure analysis

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Numerical Simulation and Analysis of HLTZ60-LJ-233 Water Turbine Transformation 2

Numerical Simulation and Analysis of HLTZ60-LJ-233 Water Tur...

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2nd International Conference on Computational Modeling, Simulation and Data Analysis, CMSDA 2022

作者： Zhang, Meiping Wang, Shoujun Zhou, Xuejun Tianjin University of Technology Tianjin Key Laboratory of Advanced Electromechanical System Design and Intelligent Control Tianjin300384 China Tianjin Sino-German University of Applied Technology Tianjin300350 China

ISBN: (纸本)9798350345759

In order to study the internal flow state of the mixed-flow turbine, this paper takes the modified HLTZ60-LJ-233 model turbine as the research object, combines with the modeling software UG, uses the grid division software ICEM, and then imports the flow field analysis software Fluent, and the turbine full-flow flow field analysis based on the k-ω turbulence model. © 2022 IEEE.

关键词： Turbulence models

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Design of an Embedded Leg Capsule Robot 20

Design of an Embedded Leg Capsule Robot

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20th IEEE International Conference on Mechatronics and Automation, ICMA 2023

作者： Wang, Yihui Xue, Tao Wang, Jing Yueliwasi, Yimuranjiang Tianjin University of Technology Tianjin Key Laboratory for Advanced Electromechanical System Design and Intelligent Control 391 Binshui Xidao Tianjin China Tianjin University of Technology National Demonstration Center for Experimental Mechanical and Electrical Engineering Education 391 Binshui Xidao Tianjin China

ISBN: (纸本)9798350320831

The capsule robot enters the patient's intestinal system directly by swallowing and takes continuous images using the miniature camera unit it carries, but during its travel, its own gravity and the peristaltic movement of the intestine make the physician limited in obtaining images of the intestine and making a diagnosis. In order to solve this problem, a capsule endoscope with an embedded leg mechanism is proposed. Compared to commercially available capsule robot. This capsule robot can easily move through the intestine autonomously by means of the relationship between the leg, the screw nut and the linkage, enabling forward, backward and stationary functions. The capsule robot has a diameter of 14 mm, a length of 30 mm and a maximum diameter of 26.66 mm with the legs spread out. The hollow space is allocated to include basic endoscopic components such as a miniature camera and a rotating motor. A series of tests, including in vitro tests, were carried out to test the feasibility of the leg mechanism of this capsule robot. Based on the results of the experiments, the proposed leg mechanism can effectively act on the Micro-capsule endoscope, and is able to move effectively through the intestine. © 2023 IEEE.

关键词： Machine design

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A paper-based self-inductive folding displacement sensor for human respiration and motion signals measurement

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npj Flexible Electronics 2022年第1期6卷 653-663页

作者： Junwen Zhu Yanshen Jia Mengmeng Li Zhanxuan Zhou Yinghao Chen Qiang Liu Xing Yang The State Key Laboratory of Precision Measurement Technology and Instruments Department of Precision InstrumentTsinghua UniversityBeijing 100084China School of Materials Science and Engineering University of Science and Technology BeijingBeijing 100083China School of Electromechanical and Automobile Engineering Yantai UniversityYan Tai 264005China Key Laboratory of Photonic Control Technology Ministry of EducationTsinghua UniversityBeijing 100083China

Flexible sensors have recently attracted much attention for potential applications in motion measurement and wearable health *** this paper,an environment-friendly,economic,and high-performance paper-based self-inductive folding displacement sensor(PSIFS)was proposed,with displacement resolution of 20μm and wide measurement range of 43.2 *** sensor sensitivity could reach 4.44%mm^(−1) with the maximum deviation of 0.00904 in *** sensing mechanism based on inductance variation due to three-dimensional deformation of planar inductor coil and structural design principle under two dimensions of sensitivity and size were proposed and *** folding method to enhance sensitivity was proposed and 3 times sensitivity enhancement could be achieved by once *** breathing states and motion states of the human joints could be *** proposed simple paper-based sensor,folding method to increase sensitivity,and structural design model may provide a way for the research of flexible sensors.

关键词： folding inductive motion

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Consensus-based Distributed Augmented Lagrangian Method for Nonconvex Optimization with Coupled Constraints

Consensus-based Distributed Augmented Lagrangian Method for ...

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2022 Chinese Automation Congress, CAC 2022

作者： Su, Yanxu Anhui University School of Artificial Intelligence Hefei230601 China Ministry of Education Southeast University Key Laboratory of Measurement and Control of Complex System of Engineering Nanjing210096 China

ISBN: (纸本)9781665465335

In this paper, we study the nonconvex optimization problems with consideration of globally coupled constraints. The constrained optimization problem is converted into an augmented Lagrangian function, and a distributed primal-dual algorithm is exploited in the context of finite-time consensus for solving such a problem. Particularly, we do not require the globally coupled constraints to be separable. Instead, we introduce some local variables for estimating the constraint violations. Under some mild assumptions in the research of nonconvex optimization, we prove the convergence of the presented algorithm to a KKT point of the problem. The numerical experiment verifies the correctness and the effectiveness of the theoretical results. © 2022 IEEE.

关键词： Constrained optimization

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Lightweight Vision Transformer for Small Data Sets 38

Lightweight Vision Transformer for Small Data Sets

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38th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2023

作者： Fang, Wenxing Su, Yanxu Institutes of Physical Science and Information Technology Anhui University Hefei China School of Artificial Intelligence Anhui University Hefei230601 China Southeast University Key Laboratory of Measurement and Control of Complex System of Engineering Ministry of Education Nanjing210096 China

ISBN: (纸本)9798350303636

With the rapid development of Transformers in the field of computer vision, models based on Transformers have become highly competitive architectures in the area. Although variants of Transformer models have achieved increasing accuracy on image classification tasks, the size of the training set and the number of parameters required by the models have increased dramatically. When dealing with small datasets, such models face problems such as overfitting and undergeneralization, leading to poor accuracy on the test set. We propose a new lightweight vision transformer (LVT) to address these issues. We reconstructed the backbone network, which learns the relationship between pixels through local window self-attention and global self-attention computation. We also use the attention pooling approach to fuse the token sequences generated by the backbone network more meticulously. We trained on the CIFAR-10 and CIFAR-100 datasets from scratch and compared them with a modern convolutional neural network. The experimental results show that LVT outperforms the modern convolutional neural network in terms of accuracy and efficiency. On the test set of CIFAR-10, we have obtained an accuracy of 96.83%, which indicates that our model can effectively solve the problems facing the training of small datasets and has a wide range of application prospects. © 2023 IEEE.

关键词： lightweight pooling self-attention windows

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An end-to-end instance segmentation method based on improved ConvNeXt V2

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International Journal of Wireless and Mobile Computing 2024年第4期26卷 384-392页

作者： Wang, Wenlu Sun, Ying Xu, Manman Bai, Dongxu Huang, Li Zou, Chunlong Chen, Baojia Tang, Dalai Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education Wuhan University of Science and Technology Hubei Wuhan China Research Centre for Biomimetic Robot and Intelligent Measurement and Control Wuhan University of Science and Technology Hubei Wuhan China Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering Wuhan University of Science and Technology Hubei Wuhan China College of Computer Science and Technology Wuhan University of Science and Technology Hubei Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Hubei Wuhan China College of Mechanical Engineering Hubei University of Automotive Technology Hubei Shiyan China Hubei Key Laboratory of Hydroelectric Machinery Design and Maintenance China Three Gorges University Hubei Yichang China School of Computer Information Management Inner Mongolia University of Finance and Economics Hohhot China

In order to improve the efficiency of indoor mobile robots in locating and segmenting environmental instances, an instance segmentation method based on RTMDet is proposed. Firstly, the more powerful ConvNeXt V2 is used as the backbone network of the model, which improves the performance of the existing RTMDet model. Subsequently, NAS-FPN is used as a converged network to detect the network at any given time. Finally, AdamW is used as the model optimiser, which effectively solves the problem of excessive memory occupation when updating parameters and improves the performance of the model. The proposed method obtains the highest evaluation index in all cases. After training and testing on the Cityscapes data set, the recognition accuracy reaches 65.0%. © 2024 Inderscience Enterprises Ltd.

关键词： Statistical tests

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Capacity Planning of Distributed Photovoltaic Generation and Energy Storage systems for the Traction Power Supply system of Electric Railway 8

Capacity Planning of Distributed Photovoltaic Generation and...

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8th IEEE International Conference on Energy Internet, ICEI 2024

作者： Huang, Li Wang, Ying Liu, Weizhi Ma, Yingtao Li, Shenglin Beijing Jiaotong University School of Electrical Engineering Beijing China State Key Laboratory for Traction and Control System of EMU and Locomotive China Academy Railway Sciences Corporation Limited Beijing Zongheng Electromechanical Technology Co.Ltd. Beijing China Shanghai Jiaotong University School of Electronic Information and Electrical Engineering Shanghai China

ISBN: (纸本)9798331523558

Although the current power industry distributed photovoltaic development for many years, how to integrate photovoltaic into the railway system existing power supply infrastructure is still not a consensus in the industry, how to determine the railway energy system planning of photovoltaic energy storage access needs to be studied. Taking the traction power supply system connected with distributed photovoltaic power generation and energy storage system as the research object, this paper explores the capacity planning method of optical storage system along railway line, which takes into account the whole life cycle cost of photovoltaic and energy storage equipment. On the basis of consulting data, this paper first defines the influence factors of the system required for capacity planning, including access method of PV and ESS, the Solar radiation conditions, the types of photovoltaic and energy storage equipment used, etc. Then, the system is modeled according to the selected parameters and constraints of equipment in planning stage and operation stage. Finally, the necessity is illustrated by comparing the difference of power purchase cost of railway system before and after introducing PV and ESS along the railway line, and the further evaluation of the role of the system is obtained by comparing the effect of different access methods, different electricity tariff policies and different light levels. © 2024 IEEE.

关键词： Power distribution planning

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A Two-layer Adaptive control Strategy for Photovoltaic Power in Different Scenarios 3

A Two-layer Adaptive Control Strategy for Photovoltaic Power...

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3rd International Conference on Energy Engineering and Power systems, EEPS 2023

作者： Wan, Yanghui Yan, Jiahao Chu, Tianfeng Li, Yaping Yuan, Kun Zhang, Kaifeng Southeast University Key Laboratory of Measurement and Control of Complex System of Engineering Ministry of Education Nanjing China Power Automation Department Nanjing China State Grid Liaoning Electric Power Co. Ltd. Electric Power Research Institute Shenyang China

ISBN: (纸本)9798350313857

Currently, control strategies for distributed photovoltaic (PV) power generation are relatively single and rigid, and cannot flexibly adapt to the diverse demands of power grids in different scenarios. Firstly, this paper analyzes the adaptive relationship between different dispatching demands, the regulation ability of distributed PV, and the characteristics of the local voltage. Secondly, for different scenarios, the coordinated controller determines the reference values of active power and reactive power given to the inverter. Thus, distributed PV power control modes which can adapt to different scenarios have been established. Then, these control modes can be classified into single control modes and compound control modes according to the complexity of scenario demands. On this basis, a specific two-layer adaptive control strategy and process of distributed PV power generation in a low-voltage distribution network are further proposed, which takes into account both external demands of the distribution network and the regulation ability of distributed PV. Finally, a case study is given to verify the rationality and effectiveness of the two-layer adaptive scenarios control strategy. This strategy can effectively improve the comprehensive support ability of distributed PV power generation towards the power grid in multiple scenarios, and improve the stable operation level of the regional power grid. © 2023 IEEE.

关键词： Reactive power

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Temperature and strain sensitivities of surface and hybrid acoustic wave Brillouin scattering in optical microfibers

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Chinese Physics B 2022年第9期31卷 333-339页

作者： Yi Liu Yuanqi Gu Yu Ning Pengfei Chen Yao Yao Yajun You Wenjun He Xiujian Chou Taiyuan University of Technology Key Laboratory of Advanced Transducers and Intelligent Control SystemMinistry of Education and Shanxi ProvinceTaiyuan 030024China Taiyuan University of Technology Institute of Optoelectronic EngineeringCollege of Physics and OptoelectronicsTaiyuan 030024China Strong Digital Technology Co. Ltd.(Thinvent)Nanchang 410000China North University of China Key Laboratory of Instrumentation Science and Dynamic Measurement Ministry of EducationTaiyuan 030051China North University of China College of Mechatronics EngineeringTaiyuan 030051China North University of China Science and Technology on Electronic Test and Measurement LaboratorySchool of Instrument and ElectronicsTaiyuan 030051China

Temperature and strain sensitivities of surface acoustic wave(SAW)and hybrid acoustic wave(HAW)Brillouin scat-tering(BS)in 1μm-1.3μm diameter optical microfibers are *** contrast to stimulated Brillouin scattering(SBS)from bulk acoustic wave in standard optical fiber,SAW and HAW BS,due to SAWs and HAWs induced by the coupling of longitudinal and shear waves and propagating along the surface and core of microfiber respectively,facilitate innovative detection in optical microfibers *** highest temperature and strain sensitivities of the hybrid acoustic modes(HAMs)are 1.082 MHz/℃and 0.0289 MHz/με,respectively,which is suitable for microfiber sensing applica-tion of high temperature and strain ***,the temperature and strain sensitivities of the SAMs are less affected by fiber diameter changes,ranging from 0.05 MHz/℃/μm to 0.25 MHz/℃/μm and 1×10^(-4) MHz/με/μm to 5×10^(-4) MHz/με/μm,*** can be found that that SAW BS for temperature and strain sensing would put less stress on manufacturing constraints for optical ***,the simultaneous sensing of temperature and strain can be realized by SAW and HAW BS,with temperature and strain errors as low as 0.30℃-0.34℃and 14.47με-16.25με.

关键词： Brllouin scatering surface acoustic waves hybrid acoustic waves optical microfiber sensing

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