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In-situ synthesis,microstructure,and properties of NbB_(2)-NbC-Al_(2)O_(3)composite coatings by plasma spraying

Journal of Advanced Ceramics 2022年第8期11卷 1263-1278页

作者： Xiaolong WANG Yong YANG Shitong JIA Yanwei WANG Yuduo MA Yuhang CUI Xingyu WANG Wenwei SUN Liang WANG Key Lab.for New Type of Functional Materials in Hebei Province School of Materials Science and EngineeringState Key Laboratory of Reliability and Intelligence of Electrical EquipmentTianjin Key Laboratory of Materials Laminating Fabrication and Interface Control TechnologyHebei University of TechnologyTianjin 300401China Integrated Computational Materials Research Centre Shanghai Institute of CeramicsChinese Academy of SciencesShanghai 201899China

The high melting point and strong chemical bonding of NbB_(2)pose a great challenge to the preparation of high-density nanostructured NbB_(2)composite ***,we report a novel,simple,and efficient method to fabricate in-situ NbB_(2)–NbC–Al_(2)O_(3)composite coating by plasma spraying Nb_(2)O_(5)–B_(4)C–Al composite powder,aiming at realizing the higher densification and ultra-fine microstructure of NbB_(2)composite *** microstructure and properties of in-situ NbB_(2)–NbC–Al_(2)O_(3)composite coating were studied comparatively with ex-situ NbB_(2)–NbC–Al_(2)O_(3)composite coating(plasma spraying NbB_(2)–NbC–Al_(2)O_(3)composite powder).The reaction mechanism of Nb_(2)O_(5)–B_(4)C–Al composite powder in plasma jet was analyzed in *** results showed that the in-situ nanostructured NbB_(2)–NbC–Al_(2)O_(3)composite coating presented a lower porosity and superior performance including higher microhardness,toughness and wear resistance compared to the plasma sprayed ex-situ NbB_(2)–NbC–Al_(2)O_(3)coating and other boride composite *** of the in-situ NbB_(2)–NbC–Al_(2)O_(3)coating was attributed to the low melting point of Nb_(2)O_(5)–B_(4)C–Al composite powder and the exothermic effect of in-situ *** superior performance was ascribed to the density improvement and the strengthening and toughening effect of the nanosized *** in-situ reaction path could be expressed as:Nb_(2)O_(5)+Al®Nb+Al_(2)O_(3),and Nb+B_(4)C®NbB_(2)+NbC.

关键词： NbB_(2)-NbC-Al_(2)O_(3)composite coating plasma spray in-situ synthesis Nb_(2)O_(5)-B_(4)C-Al system

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reliability Evaluation of Supercapacitors Based on Pseudo-Failure Calendar Lifetime Distribution 12

Reliability Evaluation of Supercapacitors Based on Pseudo-Fa...

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12th International Conference on Quality, reliability, Risk, Maintenance, and Safety engineering, QR2MSE 2022

作者： Yu, Pengfei Wang, Gang Huang, Yun Huang, Chuangmian Lu, Guoguang School of Electric Power Engineering South China University of Technology Guangzhou China Laboratory of Science and Technology on Reliability Physics and Application of Electronic Component China Electronic Product Reliability and Environmental Testing Research Institute Guangzhou China Technology and Planning Office China Electronic Product Reliability and Environmental Testing Research Institute Guangzhou China

ISBN: (纸本)9781839538360

Supercapacitors are new types of electrical energy storage components with an electric double layer. Ageing characteristics, lifetime and reliability evaluation are of great significance for quality evaluation and rational use. This paper focused on the pseudo-failure calendar lifetime distribution and reliability evaluation of supercapacitors. High-temperature accelerated calendar ageing test of supercapacitors is carried out, and equivalent series resistance and capacitance were tested. Pseudo-lifetime is calculated and distribution is fitted. Fitting results showed that the pseudo-lifetime of supercapacitors is more in line with Weibull distribution. Finally, the reliability curve and its bounds with 95% confidence are made, as a result of the reliability evaluation of supercapacitors. © 2022 IEEE.

关键词： Supercapacitor

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Gas-discharge induced flash sintering of YSZ ceramics at room temperature

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Journal of Advanced Ceramics 2022年第4期11卷 603-614页

作者： Yuchen ZHU Hongyang ZHOU Rongxia HUANG Nianping YAN Xilin WANG Guanghua LIU Zhidong JIA Engineering Laboratory of Power Equipment Reliability in Complicated Coastal Environments Tsinghua Shenzhen International Graduate SchoolTsinghua UniversityShenzhen 518055China School of Electromechanical Engineering Guangdong University of TechnologyGuangzhou 510006China State Grade Jiangxi Electric Power Research Institute Nanchang 330000China State Key Laboratory of New Ceramics and Fine Processing Tsinghua University School of Materials Science and TechnologyTsinghua UniversityBeijing 100084China

This is the first study to conduct the flash sintering of 3 mol%yttria-stabilized zirconia(3YSZ)ceramics at room temperature(25℃)under a strong electric field,larger than 1 kV/*** the standard atmospheric pressure(101 kPa),the probability of successful sintering is approximately half of that at low atmospheric pressure,lower than 80 *** success of the proposed flash sintering process was determined based on the high electric arc performance at different atmospheric pressures ranging from 20 to 100 *** 3YSZ samples achieved a maximum relative density of 99.5%with a grain size of~200 *** results showed that as the atmospheric pressure decreases,the onset electric field of flash sintering decreases,corresponding to the empirical formula of the flashover ***,flash sintering was found to be triggered by the surface flashover of ceramic samples,and the electric arc on the sample surfaces floated upward before complete flash sintering at overly high pressures,resulting in the failure of flash *** study reveals a new method for the facile preparation of flash-sintered ceramics at room temperature,which will promote the application of flash sintering in the ceramic industry.

关键词： flash sintering yttria-stabilized zirconia(YSZ) room temperature flashover AC field low atmospheric pressure

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Fault Prediction of DC-DC Devices Based on Deep Belief Network

Fault Prediction of DC-DC Devices Based on Deep Belief Netwo...

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International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)

作者： Pengfei Yu Jiao Wang Junliang Wan Qiang-ming Cai Laboratory of Science and Technology on Reliability Physics and Application of Electronic Component Guangzhou China China Electronic Products Reliability and Environmental Test Institute Guangzhou China School of Information Engineering Southwest University of Science and Technology Mianyang China

ISBN: (数字)9798350388855

ISBN: (纸本)9798350388862

Fault prediction is an important research field for power supply status management. Choosing an appropriate algorithm has a significant impact on the effectiveness of prediction. This article uses Deep Belief Network (DBN) to predict the device efficiency degradation of an isolated flyback DC-DC converter. Deep Belief Network (DBN) can be seen as a stack of a series of Restricted Boltzmann Machines (RBMs). The final prediction error (RMSE) is 0.00039. The results indicate that DBN has a relatively small error in predicting device efficiency degradation in DC-DC devices. The advantage of DBN is that DBN can perform fault prediction on complex power systems without establishing a physical model. It is convenient to research fault prediction only based on mathematical models.

关键词： Degradation Performance evaluation Deep learning Accuracy Power supplies DC-DC power converters Predictive models Prediction algorithms Mathematical models Sensors

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High-temperature strength-coercivity balance in a FeCo-based soft magnetic alloy via magnetic nanoprecipitates

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Journal of Materials science & technology 2021年第22期81卷 36-42页

作者： Kaisheng Ming Shuimiao Jiang Xiaoyuan Niu Bo Li Xiaofang Bi Shijian Zheng State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of TechnologyTianjin300130China Tianjin Key Laboratory of Materials Laminating Fabrication and Interface Control Technology School of Materials Science and EngineeringHebei University of TechnologyTianjin300130China Key Laboratory of Aerospace Materials and Performance(Ministry of Education) School of Materials Science and EngineeringBeihang UniversityBeijing100191China School of Chemical Engineering and Technology Hebei University of TechnologyTianjin300130China

Precipitation strengthening is an effective approach to enhance the strength of soft magnetic alloys for applications at high temperatures,while inevitably results in deterioration in coercivity due to the pinning effect on the domain wall ***,we realize a good combination of high-temperature strength and ductility(ultimate tensile strength of 564 MPa and elongation of~20%,respectively)as well as low coercivity(6.97 Oe)of FeCo-2V-0.3Cr-0.2Mo soft magnetic alloy through introducing high-density magnetic *** magnetic nanoprecipitates are characterized by FeCo-based phase with disordered body-centered cubic structure,which enables the alloy to have a low *** addition,these nanoprecipitates can impede the dislocation motion and suppress the brittle fracture,which lead to a high tensile strength and *** work provides a guideline to enhance strength and ductility while maintaining low coercivity in soft magnetic alloys via magnetic nanoprecipitates.

关键词： FeCo-based soft magnetic alloys Strength Ductility Coercivity Magnetic nanoprecipitates

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Hybrid Compliant Shaft-hole Robotic Assembly Control Strategy with Variable-stiffness Wrist 24th

Hybrid Compliant Shaft-hole Robotic Assembly Control Strateg...

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24th IFToMM China International Conference on Mechanism and Machine science and engineering, IFToMM CCMMS 2024

作者： Xu, Du Mo, Haijie Huang, Long Huang, Juan Yin, Lairong School of Mechanical and Vehicle Engineering Changsha University of Science and Technology Hunan Province Changsha China Hunan Provincial Key Laboratory of Safety Design and Reliability Technology for Engineering Vehicle Hunan Province Changsha China College of Electrical and Mechanical Engineering Hunan Agricultural University Hunan Province Changsha China

ISBN: (纸本)9789819614639

This research presents a novel robot system that utilizes a continuous variable stiffness wrist to enhance compliance and accelerate the assembly process. The system is designed explicitly for shaft-hole operations. We developed a wrist that meets the required standards and suggested a combination of active and passive insertion control approaches that are both strong and resilient. This strategy relies on force and visual data. The fundamental concept of the control method is to calculate the position and orientation of the component by utilizing the data on the force exerted during contact between the components and the stiffness of the contact between the shaft and hole portions. This approach transforms the rigid assembly into a flexible contact system. Passive compliance supervision enables the shaft-hole assembly operation to be carried out with minimal alignment mistakes, lowering the precision needed for part alignment. The camera supplies the first positional data of the shaft component for the robot system. The performance of the variable stiffness wrist stiffness is next examined, followed by a discussion of the calculation of relative deformation between parts using contact force information. A novel and strong insertion control strategy, which combines active and passive elements, is introduced. This strategy is based on the measurement of contact force. This control method is highly efficient in achieving shaft-hole assembly, and it is evident that monitoring contact force is crucial for the successful completion of the insertion assembly process. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： And visual information Compliant insertion assembly Force Variable stiffness wrist

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Performance Optimization in the Cascade of VAD and ASR Systems: A Study on Evaluation and Alignment Strategies

Performance Optimization in the Cascade of VAD and ASR Syste...

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Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)

作者： Zhentao Lin Zihao Chen Bi Zeng Leqi Chen Jia Cai Computer Science and Engineering Guangdong University of Technology School China Electronic Product Reliability and Environmental Testing Research Institute Key Laboratory of MIIT for Intelligent Products Testing and Reliability

ISBN: (数字)9798350367331

ISBN: (纸本)9798350367348

Voice Activity Detection (VAD) is a critical pre-processing step in Automatic Speech Recognition (ASR) systems, tasked with distinguishing speech from non-speech segments in audio signals. The accuracy of this segmentation is essential, as errors can significantly impair ASR performance. This study integrates multiple VAD algorithms with ASR systems and examines their interplay through a chapter-level analysis, focusing on the Word Error Rate (WER) of ASR in relation to VAD’s recall and precision. The research reveals a strong correlation between ASR’s insertion and deletion errors and VAD’s performance metrics. Insertions are mainly due to VAD misclassifying non-speech as speech, while deletions stem from misclassifying speech as non-speech. To address these issues, we introduce the Aligned Token Word Error Rate (atWER), a novel metric based on forced alignment from the Connectionist Temporal Classification (CTC) framework. Our experiments show that atWER accurately reflects the impact of VAD on ASR performance, effectively reducing discrepancies between VAD annotations and classification outcomes.

关键词： Voice activity detection Measurement Accuracy Correlation Error analysis Focusing Information processing User experience reliability Optimization

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A Meta-Learning Lifetime Prediction Approach for Lithium-Ion Batteries Considering Label Noise

SSRN

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SSRN 2023年

作者： Wang, Guisong Wang, Cong Chen, Yunxia School of Reliability and Systems Engineering Beihang University Beijing100191 China Science and Technology on Reliability and Environmental Engineering Laboratory Beihang University Beijing100191 China

Lithium-ion batteries have become the main power source of many electronic devices, which require accurate lifetime prediction to ensure the device reliability and safety. Supervised learning methods have achieved good results in the field of lifetime prediction of lithium-ion batteries, but the performance of the models depends on high-quality manually annotated training samples. However, obtaining samples with real lifetime labels is costly and time-consuming. Training on noisy datasets leads to degraded model performance, which is attributed to overfitting the model to label noise. This paper introduced a Lithium-ion battery lifetime prediction robust learning method based on meta-learning collaborative optimization (MLCO). The method is a meta-learning paradigm consisting of multiple stages, as well as achieved the adaptive co-optimization of model parameters and inaccurate labels. Before the conventional gradient update, the meta-training loop updates parameters by using transferred lifetime labels so that resulting gradient update from the base model in the direction of minimizing meta-loss. To balance the model accuracy and efficiency, meta-learning begin criteria is also developed. Through applying two types of lithium-ion batteries, the proposed framework is proven to be highly effective, the average prediction error is reduced by 3.68% and the average recognition accuracy is improved by 14.16% than the existing supervised learning method. © 2023, The Authors. All rights reserved.

关键词： Lithium-ion batteries

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reliability Evaluation of Multi-State Load Sharing Effect Via FM Cumulative Model 12

Reliability Evaluation of Multi-State Load Sharing Effect Vi...

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12th International Conference on Quality, reliability, Risk, Maintenance, and Safety engineering, QR2MSE 2022

作者： Ye, Cui Wang, Yanfang Chen, Ying CRSC Research & Design Institute Group Co. Ltd Beijing China Science and Technology on Reliability and Environmental Engineering Laboratory Beihang University Beijing China

ISBN: (纸本)9781839538360

Load sharing effect is functional dependency in k-out-n system. The cumulative loading history model has been widely studied in binary state load sharing effect, however, there are few studies to describe the cumulative loading effect for multi-state cases. When a system performs tasks of multiple efficiency levels, it usually presents a certain number of performance degradation states. Aiming at the dependence of load sharing effect, a multi-state failure mechanism accumulation model is proposed to sketch it. The multi-state degradation process is modeled for multi-state component and system. In the case study, dynamic reliability of a voltage-stabilizing system with multi-state load sharing effect is evaluated. © 2022 IEEE.

关键词： reliability

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Robust ferromagnetic flat band and critical nodal lines in kagome i-perthiolated coronene Fe

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Physical Review B 2025年第1期111卷 014401-014401页

作者： Yefeng Li Meijun Wang Lei Jin Ying Liu Guodong Liu Ting-Ting Zhang Xiaoming Zhang State Key Laboratory of Reliability and Intelligence of Electrical Equipment and School of Materials Science and Engineering Hebei University of Technology Tianjin 300130 China Institute of Physics Chinese Academy of Sciences Beijing 100190 China

The topological flat band close to the Fermi level serves as a promising platform for realizing unique and intriguing phenomena. In theory, such a flat band can appear in certain geometrically frustrated lattices under stringent conditions, and then generally can be destroyed by the hybridization with other bands and the application of external fields. Consequently, the realistic materials that host topological flat bands are very rare. Via first-principles calculations, we investigate the electronic structure of the monolayer MOF PTC-Fe, which host a kagome lattice and has been experimentally synthesized. The monolayer PTC-Fe is ferromagnetic in its ground state. Remarkably, around the Fermi level, a flat band with almost divergent density of state occurs in the down-spin channel. Moreover, the flat band is robust against band hybridization that it crosses with two other bands, forming two concentric critical nodal lines. The symmetry protection of the robust flat band, the optical responses, and the intrinsic Hall conductivities of the monolayer PTC-Fe are investigated. Our results highlight the 2D kagome MOF PTC-Fe as a promising candidate material to study the interaction between flat band and novel topological properties.

关键词： Topology

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