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International Conference on Electrical Machines and Systems (ICEMS)

作者： Henghui Li Lijian Wu Zhenzhong Su Junquan Chen Zekai Lyu Feng Niu College of Electrical Engineering Zhejiang University Hangzhou China National Key Laboratory of Science and Technology on Vessel Integrated Power System Naval University of Engineering Wuhan China State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of Technology Tianjin China

The inter-turn short circuit (ITSC) fault of the winding in the active magnetic bearing (AMB) may cause severe damage. Hence, it is vital to diagnose the ITSC fault in real-time. In this paper, the ITSC fault model of the AMB is presented and a method is proposed for the detection of the ITSC fault of AMB utilizing the least mean square (LMS) algorithm. Furthermore, the forgetting factor recursive least square algorithm is adopted for the online implementation of the LMS algorithm. A compensation method based on look-up table is introduced to improve the robustness of the proposed method to the eccentricity of the rotor. The effectiveness of proposed method is verified by experiments.

关键词： Windings Rotors Robustness Real-time systems Table lookup Circuit faults Integrated circuit modeling

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Dynamic wrinkling/self-erasing surface with photo-responsive function for advanced information encryption

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Chemical engineering Journal 2025年 518卷

作者： Di Zhao Xinchi Ye Cong Chen Qianrui Li Yige Wang Huanrong Li School of Chemical Engineering and Technology Hebei University of Technology GuangRong Dao 8 Hongqiao District Tianjin 300130 China State Key Laboratory of Reliability and Intelligence of Electrical Equipment School of Materials Science and Engineering Hebei University of Technology Tianjin 300401 China

Information leakage and counterfeit goods pose a threat to social stability and economic security, highlighting the urgent need for developing advanced anti-counterfeiting technologies. This study introduces a simple and effective strategy to fabricate an anti-counterfeiting bilayer system with photochromic properties, light-controlled fluorescence, and dynamic wrinkling/self-erasing function. The proposed system consists of a spiropyran-containing hard surface layer and an elastic polyurethane substrate, which together enable dynamic wrinkling and self-erasing behavior. These reversible structural changes are activated by manual stretching and releasing, allowing for tunable light manipulation through scattering, interference, and transmission, corresponding to frosted glass effects, soap bubble effects, and transparent states, respectively. Meanwhile, the incorporation of spiropyran imparts exceptional photochromic and fluorescence modulation properties. Additionally, the bilayer system exhibits excellent deformation resilience, room-temperature self-healing, and fatigue resistance, demonstrating potential applicability in the design of dual-responsive materials to light and mechanical stimuli. This strategy provides valuable insights into the development of multifunctional photosensitive periodic surfaces, offering promising applications in information security and optical encryption.

关键词： Anti-counterfeiting Photosensitive Self-healing Spiropyran Wrinkling surfaces

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An EWT-PCA and Extreme Learning Machine Based Diagnosis Approach for Hydraulic Pump

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IFAC-PapersOnLine 2020年第3期53卷 43-47页

作者： Yu Ding Liang Ma Chao Wang Laifa Tao School of Aeronautic Science and Engineering Beihang University Beijing 100191 China Science & Technology on Reliability and Environmental Engineering Laboratory Beijing 100191 China

Aiming at solving the problem that the fault characteristic of hydraulic pumps in the signal is weak, a fault diagnosis method combining empirical wavelet transform (EWT), principal component analysis (PCA) and extreme learning machine (ELM) is proposed. The vibration signal is firstly decomposed into several components that contain different frequency adaptively by EWT. After extracting features from the decomposed signals, the dimension of the feature vector is reduced by PCA. Finally, the dimensionally-reduced feature vectors that retain key fault characteristics are fed into ELM, which is a classifier with high learning speed and high generalization ability, to obtain the fault modes classification result. Experiments show that the proposed method can capture fault patterns of the hydraulic pump well and achieve high-accuracy fault diagnosis results.

关键词： Hydraulic pump fault diagnosis empirical wavelet transform extreme learning machine principal component analysis

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Electric Field and Temperature Characteristics of Accumulated Charge Amount in Several Polymeric Insulating Materials Using Q(t) Method and Quantum Chemical Calculation

Electric Field and Temperature Characteristics of Accumulate...

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Conference on Electrical Insulation and Dielectric Phenomena, (CEIDP)

作者： H. Uehara T. Okamoto Y. Sekii S. Iwata T. Takada Dept. of Electrical and Electronic Engineering Kanto Gakuin University Yokohama Kanagawa Japan Sekii PE Laboratory Chiba Chiba Japan Research Division of Product Reliability Osaka Research Institute of Industrial Science and Technology Izumi Osaka Japan Dept. of Mechanical System Engineering Tokyo City University Setagaya Tokyo Japan

ISBN: (数字)9781665467957

ISBN: (纸本)9781665467964

In this study, the Q(t) method is used to evaluate the accumulated charge characteristics of several polymeric insulating materials with respect to the electric field and temperature. The accumulated charge characteristics obtained using the Q(t) method are analyzed in terms of their molecular structures and energy levels obtained through quantum chemical calculations. The results show that the deep trap depth formed by the constituent monomers hinders the migration of holes and electrons and suppresses charge accumulation inside the polymeric insulating material. Additionally, many conjugated double bonds form a strong planar structure with the $\pi$ bonds, which restricts intramolecular motion due to the bending and rotation of the bonds, and thus exhibits excellent heat resistance.

关键词： Resistance Electron traps Insulation Temperature Bending Energy states Polymers

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Acoustic and Vibration Environment Prediction technology of Instrument Cabin Based on Multi-Source Data

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Aerospace China 2021年第3期22卷 62-70页

作者： QIN Zhaohong REN Fang RONG Kelin ZHU Xiquan WEI Long YUAN Kai ZHANG Zhong FAN Bochao Science and Technology on Reliability and Environment Engineering Laboratory Beijing 100076 Beijing Institute of Structure and Environment Engineering Beijing 100076

Noise characteristic is one of the important factors to be considered during the design of a launch vehicle *** this paper,the acceptance conditions for the external noise environment of the instrument cabin are given based on multi-source data,including the measured data of the launch vehicle lift-off noise,the mechanical environment of the launch vehicle equipment,and the external noise environment of the instrument cabin deduced from empirical *** an acoustic and vibration transfer model is established based on the response data of the instrument equipment used to conduct measurements in the noise test reverberation *** using an external noise environment and a transfer model,the response of the instrument and equipment for the acceptance condition can be *** acoustic and vibration prediction technology introduced in this paper can provide technical support in the environmental prediction analysis of heavy launch vehicles for the future.

关键词： launch vehicle acoustic and vibration environment multi-source data instrument cabin

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Manganese-Based Lithium-Ion Battery: Mn_(3)O_(4) Anode Versus LiNi_(0.5)Mn_(1.5)O_(4) Cathode

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Automotive Innovation 2020年第2期3卷 123-132页

作者： Wenfeng Mao Wei Yue Feng Pei Xiaochen Zhao Xiangdong Huang Guo Ai Tianjin Key Laboratory of Structure and Performance for Functional Molecules MOE Key Laboratory of Inorganic-Organic Hybrid Functional Material ChemistryCollege of ChemistryTianjin Normal UniversityTianjin 300387China Guangzhou Automobile Group Co. Ltd.Guangzhou 511434China School of Materials Science and Engineering South China University of TechnologyGuangzhou 510641China College of Physics and Materials Science Tianjin Normal UniversityTianjin 300387China Science and Technology on Reliability Physics and Application of Electronic Component Laboratory No.5 Electronic Research Institute of the Ministry of Industry and Information TechnologyGuangzhou 510610China

Lithium-ion batteries(LIBs)are widely used in portable consumer electronics,clean energy storage,and electric vehicle ***,challenges exist for LIBs,including high costs,safety issues,limited Li resources,and manufacturingrelated *** this paper,a novel manganese-based lithium-ion battery with a LiNi_(0.5)Mn_(1.5)O_(4) ‖ Mn_(3)O_(4) structure is reported that is mainly composed of environmental friendly manganese compounds,where Mn_(3)O_(4) and LiNi_(0.5)Mn_(1.5)O_(4) (LNMO)are adopted as the anode and cathode materials,*** proposed structure improves battery safety and reduce costs compared with current battery technology,provides comparable energy density with that of traditional graphite-based ***,the characteristics and the electrochemical performances of the Mn_(3)O_(4) anode and the LNMO cathode are investigated separately against Li metal in half cell configurations,with promising performances being demonstrated by both ***,a full cell structure with Mn_(3)O_(4) against LNMO is constructed that provides an average discharge voltage of 3.5 V and an initial specific capacity of 86.2 mA;h;g−*** importantly,the electrochemical performance of the LNMO‖ Mn_(3)O_(4) full cell and its possible decay mechanisms are discussed systemically;and efficient strategies are proposed to further improve both the electrochemical performance of Mn_(3)O_(4) and the stability of LNMO.

关键词： Mn_(3)O_(4) LiNi_(0.5)Mn_(1.5)O_(4) Chemical synthesis Composite Energy storage

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An Ontological Analysis of Safety-Critical Software and Its Anomalies

An Ontological Analysis of Safety-Critical Software and Its ...

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IEEE International Conference on Software Quality, reliability and Security (QRS)

作者： Hezhen Liu Zhi Jin Zheng Zheng Chengqiang Huang Xun Zhang Reliability Technology Lab Huawei Technologies Co. Ltd Shenzhen China Ministry of Education Key Laboratory of High Confidence Software Technologies (Peking University) Beijing China Institute of Software School of Computer Science Peking University Beijing China School of Automation Science and Electrical Engineering Beihang University Beijing China

The progressively dominant role of software in safety-critical systems raise concerns about the software dependability. There are limited mature practices and guides for assessing software dependability and analyzing system-level hazards triggered by software anomalies. A problem is that faults, errors, and failures that represent software anomalies, albeit with different natures, are usually used indistinctly to predict software dependability, leading to unsolid results. The lack of such consensual conceptualization also leads to poor interoperability between supporting tools, and, consequently, difficulties in anomaly management and software maintenance. Anomaly analysis and management is more tough for safety-critical software due to its higher complexity and the safety-critical nature. The complex context of safety-critical software causes difficulties in determining the evolution/propagation path of software anomalies and the impact on system safety. To capture the nature of safety-critical software and support an understanding of mechanisms of software anomalies and associated hazards, we propose three reference ontologies: Safety-critical Software Ontology, Software Fault Ontology and Software-failure-induced Hazard Ontology, which are built based on international standards, guides, and relevant conceptual models. We also discuss the relationships among them. That will facilitate a better understanding of the software anomaly mechanisms and the design of intervening/mitigation solutions. We demonstrate how these ontologies can help analyze software problems of real-world safety-critical systems.

关键词： Software maintenance Software quality Ontologies Software Hazards Software reliability Complexity theory

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Intelligent prediction on air intake flow of spark ignition engine by a chaos radial basis function neural network

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Journal of Central South University 2020年第9期27卷 2687-2695页

作者： LI Yue-lin LIU Bo-fu WU Gang LIU Zhi-qiang DING Jing-feng ABUBAKAR Shitu Key Laboratory of Safety and Design and Reliability Technology of Engineering Vehicles in Hunan Province Changsha 410114China College of Automotive and Mechanical Engineering Changsha University of Science and TechnologyChangsha 410114China College of Mechanical and Electrical Engineering Central South UniversityChangsha 410083China

To ensure the control of the precision of air-fuel ratio(AFR)of port fuel injection(PFI)spark ignition(SI)engines,a chaos radial basis function(RBF)neural network is used to predict the air intake flow of the *** data of air intake flow is proved to be multidimensionally nonlinear and *** RBF neural network is used to train the reconstructed phase space of the *** chaos algorithm is employed to optimize the weights of output layer connection and the radial basis center of Gaussian function in hidden *** simulation results obtained from Matlab/Simulink illustrate that the model has higher accuracy compared to the conventional RBF *** mean absolute error and the mean relative error of the chaos RBF model can reach 0.0017 and 0.48,respectively.

关键词： intake air flow spark ignition engine chaos RBF neural network

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Near real time system short-circuit current Online monitoring platform and its application

Near real time system short-circuit current Online monitorin...

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2021 International Conference on Power System technology, POWERCON 2021

作者： Zhou, Yuan Cao, Na Lin, Xuan Gao, Jie Electric Power Research Institute of Guangdong Power Grid Co. Ltd. Guangdong Key Laboratory of Electric Power Equipment Reliability Guangdong Guangzhou510080 China Inner Mongolia Agriculture University College of Science Inner Mongolia Hohhot010018 China South China University of Technology School of Electric Power Engineering Guangdong Guangzhou510080 China Harbin Institute of Technology School of Electronic and Information Engineering Heilongjiang Harbin150001 China

ISBN: (纸本)9781665407373

With the economic development, the rapid increase of system capacity has led to an increasing level of system short-circuit current, which has brought new challenges to equipment selection and maintenance. Especially for old equipment such as main transformers, due to insufficient capacity to withstand short-circuit, serious accidents such as explosions may be caused, which threatens the safety of power system operation. Therefore, it is necessary to dynamically evaluate the system short-circuit current in the context of the continuous expansion of the grid scale, to ensure that the external environment meets the equipment operation requirements. Traditional short-circuit current calculation adopts offline calculation method, which is obtained by means of numerical calculation by building and simplifying the model of the system architecture. Due to the huge amount of simulation calculation, there is an error in the equivalence, on the one hand, the calculation period is too long and the update is not timely, At present, it is usually calculated once a year, and it is difficult to reflect the actual short-circuit current situation at the location of the grid equipment. In this paper, combined with the frequent switching of reactive power equipment operations in the power grid, the short-circuit current is monitored by comparing the voltage changes before and after reactive power switching, regardless of the specific power grid structure, and the system as a whole is observed for its external characteristics. This avoids complex network calculations and greatly improves the accuracy and timeliness of system short-circuit capacity observation. Since the short-circuit current monitoring platform does not need to change the high-voltage system wiring or install a separate monitoring device, it only needs to obtain and analyze information such as voltage, reactive equipment capacity, and operating years from the existing dispatching platform and ledger system of the power

关键词： Timing circuits

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Tuning the bandgap of double perovskites

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Journal of Semiconductors 2021年第12期42卷 6-8页

作者： Yu Zou Wenjin Yu Lixiu Zhang Cuncun Wu Lixin Xiao Liming Ding State Key Laboratory for Mesoscopic Physics Department of PhysicsPeking UniversityBeijing 100871China School of Materials Science and Engineering State Key Laboratory of Reliability and Intelligence of Electrical EquipmentHebei University of TechnologyTianjin 300130China Center for Excellence in Nanoscience(CAS) Key Laboratory of Nanosystem and Hierarchical Fabrication(CAS)National Center for Nanoscience and TechnologyBeijing 100190China

With great achievements in efficiency,stability,and large-scale preparation of perovskite solar cells(PSCs),the com-mercialization of PSC is ongoing,but there is still an issue on lead *** lead content in the device is low,the water solubility of lead salts leads to potential environmental *** present,the non-lead perovskites studied in-clude:divalent metal perovskite(e.g.,Sn^(2+),Ge^(2+),Cu^(2+)),trivalent metal perovskite(e.g.,Bi^(3+),Sb^(3+),In^(3+)),tetravalent met-al double perovskite(e.g.,Sn^(4+),Pd^(4+),Ti^(4+),Pt^(4+))and mono-trivalent mixed double perovskite(e.g.,Ag+and Bi^(3+),Ag+and In^(3+),Ag^(+)and Sb^(3+)).Their properties are summarized in Table *** the first report on non-lead double perovskite Cs2AgBiBr6 in 2016^([1]).

关键词： perovskite double valent

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