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5th International Conference on Algorithms, Computing and Artificial Intelligence, ACAI 2022

作者： Huang, Quan Wu, Yuxin Science and Technology on Reliability Physics and Application of Electronic Component Laboratory China Electronic Product Reliability and Environmental Testing Research Institute China

ISBN: (纸本)9781450398343

Electromagnetic pattern is an image generated from near field electromagnetic field of a device such as microprogrammed control unit (MCU) when it is working. Many Electro-Magnetic Interference (EMI) sources can be located using the electromagnetic patterns. The cluster of electromagnetic patterns is helpful to distinguish the types of EMI, and problems caused by the same EMI are basicly addressed in the same way. Different frequencies in integrated circuite (IC) can have the same electromagnetic patterns, especially for those frequencies that are multiple integer of a small frequency called the basic frequency. The magnitude of electromagnetic pattern becomes weak when the the corresponding frequency gets higher, which makes the EMI source cluster inaccurate. To tackle this problem, we cluster the electromagnetic patterns in the latent space. © 2022 ACM.

关键词： Electromagnetic fields

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Comparative Study of Proton and Heavy Ion-induced Damages for GaN-based HEMTs 24

Comparative Study of Proton and Heavy Ion-induced Damages fo...

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8th International Conference on electronic Information technology and Computer Engineering, EITCE 2024

作者： Wu, Zhipeng Huang, Huixiang Yang, Jianqun Lei, Zhifeng Cui, Xiuhai Ma, Teng Peng, Chao School of Opto-electronic and Communication Engineering Xiamen University of Technology Fujian Xiamen China National Key Laboratory of Material Behavior and Evaluation Technology in Space Environment Harbin Institute of Technology Heilongjiang Harbin China Science and Technology on Reliability Physics and Application of Electronic Component Laboratory China Electronic Product Reliability and Environmental Testing Research Institute Guangdong Guangzhou China

ISBN: (纸本)9798400710094

The variations of the radiation damage induced by radiation from protons and heavy ions on Cascode GaN HEMTs are comparatively studied. 300 MeV proton and 500 MeV heavy ion irradiation are carried out for AlGaN/GaN HEMTs. Findings from the study indicate that exposure to a proton flux of 300 MeV, reaching a cumulative level of 1×1011 cm-2, leads to a reduction in the output current. Concurrently, there is a downward adjustment of 0.27 volts in the turn-on voltage, along with a 5.59% decline in the peak transconductance. Following irradiation, the creation of traps within the device’s channel layer results in a decline in its electrical efficiency. Under 500 MeV heavy ion irradiation with a total fluence of 3.167×105cm-2, a significant leakage current increase is observed when a drain bias of 100 volts is applied. An enhancement in the output current is observed, accompanied by a 0.11V downward adjustment in the voltage at which the channel forms and a significant 70.17% diminution in peak transconductance. Additionally, instances of single event burnout (SEB) are detectable when the drain bias exceeds 150 V. © 2024 Copyright held by the owner/author(s).

关键词： Gallium nitride

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High conductivity multi-channel AlGaN/AlN/GaN heterostructure for underwater blue light detection 6

High conductivity multi-channel AlGaN/AlN/GaN heterostructur...

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6th Conference on Frontiers in Optical Imaging and technology: Novel Technologies in Optical Systems

作者： Liu, Yuebo Qiu, QiuLing Lv, Zesheng Liu, Honghui Reliability Physics and Application Technology of Electronic Component Key Laboratory China Electronic Product Reliability and Environmental Testing Research Institute Guangzhou511370 China School of Electronics and Information Technology Sun Yat-sen University Guangzhou510006 China

ISBN: (数字)9781510679672

ISBN: (纸本)9781510679665

AlGaN/GaN heterostructures is a promising wide-bandwidth semiconductor material for underwater blue light detection due to their unique physical properties. Nevertheless, due to the thin two-dimensional electron gas (2DEG) at the heterostructure interface, the contact resistance remains relatively high. To reduce the contact resistance and improve the potential of AlGaN/GaN heterostructures in high-power and high-frequency electronic devices, multi-channel AlGaN/GaN heterostructures were designed and manufactured in this research. The carrier distribution and distribution of Al, Ga and N elements in the multi-channel AlGaN/GaN heterostructures were characterized. Moreover, the effect of polarization charge on carrier distribution was analysed using energy band theory. The results indicate that multi-channel AlGaN/GaN heterostructures can effectively reduce the contact resistance of devices and that several parallel 2DEGs are present inside the device. The polarisation charge at the heterostructure interface results in an uneven carrier distribution in each channel region. This work is helpful for the application of AlGaN/GaN to underwater blue light detectors. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Aluminum gallium nitride

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Fracture Analysis of QBe2.0 Beryllium Bronze Conductive Spring 14

Fracture Analysis of QBe2.0 Beryllium Bronze Conductive Spri...

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14th International Conference on reliability, Maintainability and Safety, ICRMS 2023

作者： Li, Ziyang Zhang, Kun Zhu, Gang Zhao, Hao Zhang, Yingjie Sun, Lixian Reliability Research and Analysis Center China Electronic Product Reliability and Environmental Testing Research Institute Guangzhou China Science and Technology on Reliability Physics and Application of Electronic Component Laboratory China Electronic Product Reliability and Environmental Testing Research Institute Guangzhou China Guangxi Key Laboratory of Information Materials Guilin University of Electronic Technology Guilin China

ISBN: (纸本)9798350329988

Beryllium bronze conductive elastic materials are widely used in aerospace electronics, and the reliability of this material is critical for aircraft equipment A batch of conductive springs suffered from fracture failure during assembly. The fractography, chemical composition, microstructure, and microhardness of the spring were investigated, and the causes of fracture and improvement measures were discussed. The fractographs of the spring show an intergranular fracture accompanied with a dimple fracture. The chemical composition of the raw material conforms to the technical requirements. The sizes of the precipitates in the failed spring were primarily 1-2 um, while the size of the precipitates in the un-failed spring were less than 0.5 um. The grain boundary of the failed spring was wider, with larger particle phases distributed at the grain boundaries. Additionally, the average hardness of the fracture spring was 394.4 HV, which exceeds the technical requirements. The hardness of the un-failed spring met the requirements. According to the results of microstructure and hardness, improper aging treatment led to material embrittlement, and the spring suffered an intergranular fracture during assembly. © 2023 IEEE.

关键词： Brinell Hardness

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Study on the effect of self-heating effect of bulk acoustic wave filter on the interpolation loss in the band

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International Journal of Nanomanufacturing 2023年第3-4期18卷 178-188页

作者： Ruan, Bin Liu, Tingting Yang, Shaohua Huang, Qinwen Wu, Ming Shao, Weiheng School of Information Engineering Southwest University of Science and Technology No. 59 Qinglong Road Sichuan Province Mianyang621010 China Science and Technology on Reliability Physics and Application Technology of Electronic Component Laboratory China Electronic Product Reliability Environmental Testing Research Institute Guangdong Province Guangzhou510610 China Pandhus Microsystem Co. Ltd. Innovation Centre Phase 2 Room 301 Building 3 Science and Technology Business Park Sichuan Mianyang China

The self-heating effect occurs when the bulk acoustic wave filter is loaded with power, leading to the deterioration of the insertion loss. In this paper, the self-heating effect of bulk acoustic wave filters at high frequency power is investigated. A test system is built to obtain the maximum surface temperature and the insertion loss of the bulk acoustic wave filter at different power levels. The test results show that the self-heating effect causes the internal temperature of the bulk acoustic wave filter to increase further after increasing the power, resulting in the increase of the insertion loss. The test system and analysis method in this paper verify the relationship between the self-heating effect and the insertion loss, and can provide guidance for the construction of the relevant reliability test system of the bulk acoustic wave filter. Copyright © The Author(s) 2023. Published by Inderscience Publishers Ltd.

关键词： Deterioration

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A Review:Principles and applications of High-Pressure In Situ Time-Resolved Transient Absorption Spectroscopy

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Ultrafast science 2024年第2期4卷 45-59页

作者： Xiaxia Qin Guozhao Zhang Lin Chen Qinglin Wang Guangyu Wang Haiwa Zhang Yinwei Li Cailong Liu School of Physics Science and Information Technology Liaocheng UniversityLiaocheng 252059China Laboratory of Quantum Functional Materials Design and Application of Physics and Electronic Engineering Jiangsu Normal UniversityXuzhou 22116China

Time-resolved transient absorption(TA)spectroscopy measurement technology provides detailed information into the ultrafast dynamics by tracking the transitions and deactivation processes of the excited-state carriers,which holds vast potential for investigating processes related to the luminescence and nonradiative recombination of *** is considered a potent tool for tuning the carrier dynamic *** combination of high-pressure experimental technology and time-resolved TA spectroscopy measurement technology enables researchers to reveal the inherent relation between the structure and optical properties of materials,which is crucial for optimizing material performance and applications in the field of *** this review,the principles and the theoretical foundations of high-pressure time-resolved TA spectroscopy measurement technology will be introduced,and the research advancements in ultrafast dynamics processes of materials under high pressure will be summarized and *** addition,we will expound on the future prospects of time-resolved TA spectroscopy measurement technology to detect the ultrafast dynamic behaviors of materials and complexes under the coregulation of temperature and pressure.

关键词： materials resolved holds

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Analytical and Measurement-Based Method for Diagnosing the Fault of Channels in TSV-Based 3D ICs 1

Analytical and Measurement-Based Method for Diagnosing the F...

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2022 1st International Conference on Advances in Modern physics sciences and Engineering technology, ICPSET 2022

作者： Qu, Chenbing Zheng, Linting Wang, Liwei Sun, Chen Science and Technology on Reliability Physics and Application of Electronic Component Laboratory China Electronic Product Reliability and Environmental Testing Research Institute Guangzhou511370 China

Three-dimensional integrated circuits (3D ICs) based on through silicon via (TSV) technology can effectively solve many bottlenecks in the development of ICs. It has rapidly developed into a key cutting-edge technology representing the medium and long-term sustainable development of microelectronics industry. Process fluctuation causes TSV process defects, resulting in the change of structural parameters of RDL and TSV interconnection structure. Finally, it leads to the degradation of performance parameters and functional failure of 3D interconnection and devices. Aiming at the high-resistance and open-circuited faults of 3D ICs, this paper develops an analysis method based on micro nano machining and detection technology. The electrical characteristics and images of typical chain TSV interconnections are analyzed by scanning electron microscope high-resolution imaging. The mechanism of fault diagnosis is based on potential difference and electron transfer. © Published under licence by IOP Publishing Ltd.

关键词： Three dimensional integrated circuits

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Optimal Production Capacity Matching for Blockchain-Enabled Manufacturing Collaboration With the Iterative Double Auction Method

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IEEE/CAA Journal of Automatica Sinica 2025年第3期12卷 550-562页

作者： Ying Chen Feilong Lin Zhongyu Chen Changbing Tang Cailian Chen the Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province Zhejiang Normal University the School of Computer Science and Technology Zhejiang Normal University IEEE the College of Physics and Electronic Information Engineering Zhejiang Normal University the Department of Automation Shanghai Jiao Tong University

The increased demand for personalized customization calls for new production modes to enhance collaborations among a wide range of manufacturing practitioners who unnecessarily trust each other. In this article, a blockchain-enabled manufacturing collaboration framework is proposed, with a focus on the production capacity matching problem for blockchainbased peer-to-peer(P2P) collaboration. First, a digital model of production capacity description is built for trustworthy and transparent sharing over the blockchain. Second, an optimization problem is formulated for P2P production capacity matching with objectives to maximize both social welfare and individual benefits of all participants. Third, a feasible solution based on an iterative double auction mechanism is designed to determine the optimal price and quantity for production capacity matching with a lack of personal information. It facilitates automation of the matching process while protecting users' privacy via blockchainbased smart contracts. Finally, simulation results from the Hyperledger Fabric-based prototype show that the proposed approach increases social welfare by 1.4% compared to the Bayesian game-based approach, makes all participants profitable,and achieves 90% fairness of enterprises.

关键词： Blockchain iterative double auction manufacturing collaboration production capacity matching

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Fault Diagnosis of Avionics System Based on Improved CNN and BiLSTM 6

Fault Diagnosis of Avionics System Based on Improved CNN and...

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6th International Conference on Algorithms, Computing and Artificial Intelligence, ACAI 2023

作者： Li, He Hong, Danni Zhou, Zhenwei Li, Xiangning Liu, Junbin Guangzhou Institute of Technology Xidian University China Reliability Physics and Application of Electronic Component Laboratory China Electronic Product Reliability and Environmental Testing Institute China School of Mechano-Electronic Engineering Xidian University China

ISBN: (纸本)9798400709203

This paper presents a novel approach for diagnosing faults in aerospace systems by leveraging the power of Word2vec to transform text data into word vectors. Using improved Convolutional Neural Network(CNN) and bi-directional LSTM models to extract fault feature information from the input data, introducing an attention mechanism to focus more on key feature information in the data, and employing a dropout regularization method to prevent the model from being overfitted. Our model considers local features, as well as contextual information, which fully extracts the feature information of the text to classify the fault data. Compared with other methods, the proposed method outperforms other techniques and significantly reduces the manual dependence of fault classification, saves the troubleshooting time of maintenance personnel, and achieves the optimum in accuracy, recall and f1-score performance indicators, which demonstrates the effectiveness of our approach. © 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Failure analysis

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Avionics fault classification based on improved Word2Vec word embedding 3

Avionics fault classification based on improved Word2Vec wor...

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3rd International Symposium on Computer applications and Information Systems, ISCAIS 2024

作者： Li, He Li, Xiangning Yang, Peiliang Zhou, Zhenwei Cheng, Liye Hong, Danni Guangzhou Institute of Technology Xidian University Guangzhou511363 China School of Mechano-Electronic Engineering Xidian University Xi’an710065 China Reliability Physics and Application of Electronic Component Laboratory China Electronic Product Reliability and Environmental Testing Institute Guangzhou511370 China

ISBN: (纸本)9781510681316

In this paper, we present a fault classification approach that utilizes aeronautical text data by using improved Word2Vec and Convolutional Neural Network (CNN) models for fault diagnosis. The Word2Vec model is used for vectorization, and the fusion of word vector, character vector and N-gram method is used for text representation. In addition, the vector constructed based on the method are used as inputs to the CNN model, which is capable of extracting fault feature from the text data. The experimental results demonstrate that in comparison with other approaches, the method presented in this article has a better classification effect, the model has a certain degree of improvement in various indexes. In practice, it effectively decreases the manual reliance on fault text classification, and achieves the optimal performance indexes in accuracy, recall and f1-score, indicating the effectiveness of the method proposed in this paper. © 2024 SPIE.

关键词： Neural network models

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