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Progress in Electromagnetic Research Symposium (PIERS)

作者： Junliang Wan Pengfei Yu Qiang-Ming Cai Xin Cao Longjian Zhou Haoran Li Yuyu Zhu Jun Fan School of Information Engineering Southwest University of Science and Technology Mianyang China Laboratory of Science and Technology on Reliability Physics and Application of Electronic Component Guangzhou China Robot Technology Used for Special Environment Key Laboratory of Sichuan Province Mianyang China Tianfu Institute of Research and Innovation Southwest University of Science and Technology (SWUST-TIRI) China

ISBN: (数字)9798350375909

ISBN: (纸本)9798350375916

The degradation of certain components within DC-DC power supplies can lead to abnormal performance, resulting in the occurrence of faults. The degradation of components can cause changes in output voltage and current, and the different degradation characteristics of components have different impacts on the characteristics of output parameters. Therefore, it is necessary to master this impact relationship, that is, the fault propagation mechanism can be used to effectively diagnose faults and manage health. Studying the fault propagated mechanism is an important prerequisite for fault diagnosis. Output terminals of DC-DC power supply are usually connected in parallel with electrolytic capacitors. The function of electrolytic capacitors is to filter, filtering out most of the AC part of the output voltage, and reducing the ripple of the output voltage. Electrolytic capacitors are the most vulnerable components to failure in switching power supplies, with approximate 60% of failed components being electrolytic capacitors. Therefore, the fault propagation mechanism of electrolytic capacitors is a key research topic. Most research focuses on the fault propagation mechanism based on steady-state output signals. This article studies the fault propagation mechanism based on transient output signals. Through experimental testing, the impact of parameter degradation of electrolytic capacitors on the transient waveform of output voltage and the mapping relationship between capacitor degraded parameters and transient waveform are studied. The method is to analyze the voltage waveform when the current step changes using equivalent degradated experiments of capacitors. Its advantage lies in the fact that transient waveforms are more sensitive than steady-state waveforms and require lower sampling rates, making it easier to analyze the degradated characteristics of electrolytic capacitors. For power supplies with simple structures, data is collected through simulation. For commerc

关键词： Degradation Resistance Power supplies Capacitors Voltage Switches Capacitance

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Activation of the microstructures in nickel-based bimetallic complexes for aqueous batteries

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science China Chemistry 2024年

作者： Yichun Su Yanfei Zhang Guoqiang Yuan Yijian Tang Guangxun Zhang Mohsen Shakouri Hsiao-Chien Chen Huijie Zhou Zheng Liu Huan Pang School of Chemistry and Chemical Engineering Yangzhou University Canadian Light Source Inc. University of Saskatchewan Center for Reliability Science and Technologies Chang Gung University Kidney Research Center Department of Nephrology Chang Gung Memorial Hospital Institute of Technology for Carbon Neutralization Yangzhou University State Key Laboratory of Coordination Chemistry Nanjing University

The full utilization of active metal sites is meaningful for enhancing the application of materials in the energy storage field. In this study, a nickel-based nanosphere（NiSA-SSA-Co） precursor was obtained via effective doping based on a dual-ligand complex. With thermal activation, the pore microstructure of the precursor was modulated, and a transition state complex（NiSASSA-Co-350） was fabricated. NiSA-SSA-Co-350 not only retains part of the framework structure, but also fully exposes the metal nodes and enhances the efficiency of the active sites. NiSA-SSA-Co-350 exhibits optimal conductivity and intrinsic reactivity when applied as an electrode material for nickel-zinc batteries（NZBs）. In contrast to the precursor, NiSA-SSA-Co-350with large specific surface area shows a higher specific capacity(0.30 mAh cm-2at 3 mA cm-2). This work hopefully provides a new perspective on the study of nanomaterial porosity in energy storage applications.

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Natural Human Skin‑Inspired Wearable and Breathable Nanofiber‑based Sensors with Excellent Thermal Management Functionality

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Advanced Fiber Materials 2024年第6期6卷 1955-1968页

作者： Peng Wang Xiaodan Li Guifen Sun Guoqing Wang Qing Han Chuizhou Meng Zhonghe Wei Yang Li School of Mechanical Engineering University of JinanJinan 250022China School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116China State Key Laboratory for Reliability and Intelligence of Electrical Equipment Engineering Research Center of Ministry of Education for Intelligent Rehabilitation Device and Detection TechnologyHebei Key Laboratory of Smart Sensing and Human‑Robot InteractionSchool of Mechanical EngineeringHebei University of TechnologyTianjin 300401China Shandong Provincial Key Laboratory of Network‑Based Intelligent Computing School of Information Science and EngineeringUniversity of JinanJinan 250022China Network Information Center Department of Computer ScienceQilu University of Technology(Shandong Academy of Sciences)Jinan 250353China School of Integrated Circuits Shandong UniversityJinan 250101China

Wearable sensors have been rapidly developed for application in various human monitoring ***,the wearing comfort and thermal properties of these devices have been largely ignored,and these characteristics urgently need to be ***,we develop a wearable and breathable nanofiber-based sensor with excellent thermal management functionality based on passive heat preservation and active Joule heating *** multifunctional device consists of a micropatterned carbon nanotube(CNT)/thermoplastic polyurethane(TPU)nanofiber electrode,a microporous ionic aerogel electrolyte and a microstructured Ag/TPU nanofiber *** to the presence of a supercapacitive sensing mechanism and the appli-cation of microstructuration,the sensor shows excellent sensing performance,with a sensitivity of 24.62 ***,due to the overall porous structure and hydrophobicity of TPU,the sensor shows good breathability(62 mm/s)and water repellency,with a water contact angle of 151.2°.In addition,effective passive heat preservation is achieved by combining CNTs with high solar absorption rates(85%)as the top layer facing the outside,aerogel with a low thermal conductivity(0.063 W m-1 k-1)as the middle layer for thermal insulation,and Ag with a high infrared reflectance rate as the bottom layer facing the *** warming,this material yields a higher temperature than ***,the active Joule heat-ing effect is realized by applying current through the bottom resistive electrode,which can quickly increase the temperature to supply controlled warming on *** proposed wearable and breathable sensor with tunable thermal properties is promising for monitoring and heat therapy applications in cold environments.

关键词： Wearable sensor Breathable Personal thermal management Electrospun nanofibers Joule heating

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Study on a 48-Slot Interior Permanent Magnet Synchronous Motor in the Aircraft Drive System 2

Study on a 48-Slot Interior Permanent Magnet Synchronous Mot...

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2nd Asia Power and Electrical technology Conference, APET 2023

作者： Xie, Yuhang Xiong, Fei Yan, Rui Xiang, Yu Yang, Kai Yan, Weican School of Reliability and Systems Engineering Beijing University of Aeronautics and Astronautics Beijing100191 China Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Technology Wuhan430074 China SG Micro Corp Marketing Department Beijing100089 China Wolong Electric Group Co. LTD Shangyu312300 China

ISBN: (纸本)9798350359428

The torque performance of the interior permanent magnet synchronous motor (IPMSM) has been widely concerned and studied for many years. This article focuses on the structure design and optimization of the IPMSM in the aircraft drive system, and aiming to improve the torque density and reduce the torque ripple. Firstly, the original structure of the IPMSM is given. And then, a fractional slot winding and Δ-type rotor magnetic pole topology are proposed as the optimized IPMSM structure in this article. In addition, the comparison of the original and optimized structure is studied by the simulation. Finally, the performance of an optimized prototype is analyzed by experimental test, and the validity of the design optimization method for proposed IPMSM structure is verified. © 2023 IEEE.

关键词： Topology

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reliability Analysis for 5g Industrial Network with Application and Dynamic Coupling

SSRN

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SSRN 2023年

作者： Chen, Kun Huang, Ning Wang, Yao Zhu, Juxing Yu, Jintao School of Reliability and Systems Engineering Beihang University Beijing100191 China Science and Technology on Reliability and Environmental Engineering Laboratory 10011 China Beijing Electric Power Company Maintenance Branch Fengtai Beijing100073 China

The analysis of reliability is vital in ensuring the operation of 5G industrial networks (5GIN). With 5GIN are no longer merely chains of physical components, they consist of different applications that are dynamically deployed on base platform. Such a sharing of infrastructure between applications complicates the fault logic and greatly impacts their operation. Current reliability analysis tends to treat them as static, fail to take applications and dynamic coupling into accounts. This paper proposes a model consisting of network evolution model of 5GIN (NEM5G) and reliability-based sensitivity analysis (SA). NEM5G depicts the interaction of physical components and applications, which provides a description of dynamic coupling within system and its effect on reliability. Furthermore, SA helps identify influential parameters within 5GIN to support reliability optimization. Simulation results illustrate the variation trend and steady state of 5GIN reliability, further presents an importance ranking of parameters and analyzes available design strategies. © 2023, The Authors. All rights reserved.

关键词： Sensitivity analysis

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The impact of Cu content on crystallization kinetics and soft magnetic properties for ductility FePCCu amorphous alloy

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Progress in Natural science: Materials International 2025年

作者： Jiang, Xiangxiang Liu, Cong Luo, Hongzhi Ding, Jing Zuo, Mingqing Yang, Chen Dai, Xuefang Zhu, Shengli Liu, Guodong State Key Laboratory of Reliability and Intelligence of Electrical Equipment School of Materials Science and Engineering Hebei University of Technology Tianjin300130 China School of Energy and Machinery Dezhou University Dezhou253023 China College of Materials Science and Engineering Hunan Joint International Laboratory of Advanced Materials and Technology for Clean Energy Hunan University Hunan Changsha410082 China School of Materials Science and Engineering Tianjin University Tianjin30072 China School of Materials Science and Engineering Lanzhou Jiaotong University Lanzhou730070 China

Effects of trace addition of Cu in ductility Fe83−xP11C6Cux (x = 0.7–1 at. %) amorphous alloys on the crystallization kinetics, soft magnetic properties and hardness were investigated. With Cu content increasing, the Curie temperature (Tc) and initial crystallization onset temperature (Tx1) increase at first and then drop. The nucleation process becomes hard with the increasing of Cu content, and it is more difficult than growth process. The Fe82.3P11C6Cu0.7 amorphous ribbon demonstrates high saturation magnetization (Bs) of 1.63 T, low coercivity (Hc) of 5.2 A/m, and high initial permeability (μi) of 15,000, alongside Vickers hardness (Hv) exceeding 760 and excellent bending ductility. Annealing-induced [amorphous + α-Fe] phase in Fe82.3P11C6Cu0.7 has good soft magnetic properties, with Bs of 1.66 T, Hc of 9.7 A/m, μi of 16,000, and Hv over 1300. Notably, only nanocrystalline α-Fe phase precipitation is observed in its ribbon after annealing at Tx2-50 K (Tx2, second crystallization onset temperature). At the same time the sample has good flexibility. Fe-based amorphous/nanocrystalline alloys can be as promising option for commercial applications because of their remarkable soft magnetic properties, cost-effectiveness, and exceptional bending ductility. © 2025 Chinese Materials Research Society

关键词： Ductility

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Deep convolution adaptive network-based bearing fault diagnosis under variable conditions 12

Deep convolution adaptive network-based bearing fault diagno...

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12th IEEE Global reliability and Prognostics and Health Management, PHM-Nanjing 2021

作者： Chen, Zuoyi Wang, Yuanhang Wu, Jun Deng, Chao Zhang, Duqing Huazhong University Of Science And Technology School Of Mechanical Science And Engineering Wuhan China Guangdong Provincial Key Laboratory Of Electronic Information Products Reliability Technology Guangzhou China

ISBN: (纸本)9781665401302

Recently, significant research efforts have been made to develop bearing fault diagnosis methods based on deep learning. However, these diagnosis methods assume that training and testing data are drawn from the same input feature space with the same distributions, which may not be effectively applied for a complex process that has multiple operating modes due to the differences between the data distributions of the new and preexisting mode. To solve this issue, this paper proposes a novel deep convolution adaptive network for bearing fault diagnosis. In the method, the deep convolution adaptive network is constructed to extract transferable features from two different domains. And, Multi-kernel maximum mean discrepancy has been used to optimize the transfer performance and alleviate the parameter sensitivity problem. Three transfer experiments on four working conditions of bearing have verified the superior performance of DCAN. A significant improvement has been made with more than 30% classification accuracy improvement as compared with the bearing fault diagnosis method without transfer learning trick. © 2021 IEEE.

关键词： Failure analysis

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LLM-R: A Framework for Domain-Adaptive Maintenance Scheme Generation Combining Hierarchical Agents and RAG

arXiv

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arXiv 2024年

作者： Tao, Laifa Huang, Qixuan Wu, Xianjun Zhang, Weiwei Wu, Yunlong Li, Bin Lu, Chen Hai, Xingshuo Hangzhou International Innovation Institute Beihang University China Institute of Reliability Engineering Beihang University Beijing China Science & Technology on Reliability Environmental Engineering Laboratory Beijing China School of Reliability and Systems Engineering Beihang University Beijing China School of Electrical and Electronic Engineering Nanyang Technological University Singapore Avic landing gear advanced manufacturing co. ltd China

The increasing use of smart devices has emphasized the critical role of maintenance in production activities. Interactive Electronic Technical Manuals (IETMs) are vital tools that support the maintenance of smart equipment. However, traditional IETMs face challenges such as transitioning from Graphical User Interfaces (GUIs) to natural Language User Interfaces (LUIs) and managing complex logical relationships. Additionally, they must meet the current demands for higher intelligence. This paper proposes a Maintenance Scheme Generation Method based on Large Language Models (LLM-R). The proposed method includes several key innovations: We propose the Low Rank Adaptation-Knowledge Retention (LORA-KR) loss technology to proportionally adjust mixed maintenance data for fine-tuning the LLM. This method prevents knowledge conflicts caused by mixed data, improving the model's adaptability and reasoning ability in specific maintenance domains. Besides, Hierarchical Task-Based Agent and Instruction-level Retrieval-Augmented Generation (RAG) technologies are adopted to optimize the generation steps and mitigate the phenomenon of hallucination caused by the model’s Inability to access contextual information. This enhancement improves the model’s flexibility and accuracy in handling known or unknown maintenance objects and maintenance scheme scenarios. To validate the proposed method’s effectiveness in maintenance tasks, a maintenance scheme dataset was constructed using objects from different fields. The experimental results show that the accuracy of the maintenance schemes generated by the proposed method reached 91.59%, indicating which improvement enhances the intelligence of maintenance schemes and introduces novel technical approaches for equipment maintenance. Copyright © 2024, The Authors. All rights reserved.

关键词： Graphical user interfaces

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Fault Diagnosis Based on Fault Tree and Bayesian Network with Grey Optimization

Fault Diagnosis Based on Fault Tree and Bayesian Network wit...

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第34届中国控制与决策会议

作者： Dong Liu Xiaoyu Xu Ke Ma Laifa Tao Mingliang Suo Shenyang Aircraft Design & Research Institute Institute of Reliability Engineering Beihang University National Key Laboratory of Science and Technology on Reliability and Environmental Engineering School of Reliability and Systems Engineering Beihang University

Remote-controlled engine ignition of unmanned aerial vehicle(UAV) is the key node for its successful flight *** effective fault diagnosis and prevention of remote-controlled engine is the guarantee of its safe and reliable *** paper proposes a fault diagnosis method based on the fusion of fault tree(FT) and Bayesian network(BN).Further,a grey analysis model is employed to mine the in-depth information of the FT model,so as to find the key factors affecting the ignition failure of the remote-controlled engine,and provide support for maintenance and product ***,the correctness and validity of the proposed model are verified by using a the typical fault mode of the remote-controlled engine.

关键词： Fault diagnosis Fault tree Bayesian network Grey analysis Remote-controlled engine

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Analysis of Operating Characteristics of Dual-Switch Boost Converter Considering Parasitic Parameters under High Frequency Conditions

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Diangong Jishu Xuebao/Transactions of China Electrotechnical Society 2022年第6期37卷 1431-1441页

作者： Guo, Yingjun Kong, Dekai Tang, Yu Sun, Hexu Dong, Yan State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of Technology Tianjin300130 China School of Electrical Engineering Hebei University of Science and Technology Shijiazhuang050018 China Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province Hebei University of Technology Tianjin300130 China

Compared with the traditional Boost converter, the dual-switch Boost converter can obtain higher gain, effectively reduce the voltage/current stress of the switching tube, and can be used as an interface converter for photovoltaic systems and fuel cell systems. In order to improve the power density of the power conversion system, it is necessary to further increase the switching frequency. However, parasitic parameters that can be ignored in circuit analysis at low switching frequency will have an important impact on the gain and device stress of the high frequency converter. It is difficult to evaluate the influence of parasitic parameters on the performance of the dual-switch Boost converter at high frequency by the current analysis methods. Therefore, this paper establishes a model of dual-switch Boost converter considering parasitic parameters at high frequency, puts forward the sneak circuit modes considering parasitic parameters according to the sneak circuit analysis method, and analyzes the influence of parasitic parameters on the gain of dual-switch Boost converters, voltage/current stress of power devices, converter loss and efficiency at high frequency. Finally, an experimental platform of the dual-switch Boost converter is established in the laboratory to verify the circuit performance at high frequency. © 2022, Electrical technology Press Co. Ltd. All right reserved.

关键词： Boost converter

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