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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

SSRN

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SSRN 2025年

作者： Zhao, Di Ye, Xinchi Chen, Cong Li, Qianrui Wang, Yige Li, Huanrong School of Chemical Engineering and Technology Hebei University of Technology GuangRong Dao 8 Hongqiao District Tianjin300130 China State Key Laboratory of Reliability and Intelligence of Electrical Equipment School of Materials Science and Engineering Hebei University of Technology Tianjin300401 China

Information leakage and counterfeit goods pose a threat to social stability and economic security, highlighting the urgent need of developing advanced anti-counterfeiting technologies. This study introduces a universal and simple strategy to fabricate an anti-counterfeiting bilayer system with photochromic property, 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. While the attendance of photosensitive centers spiropyran imparts exceptional photochromic and fluorescence modulation properties. Additionally, the bilayer system exhibits excellent deformation resilience, room-temperature self-healing, and fatigue resistance, demonstrating strategic versatility in the design of dual-responsive systems to light and mechanical stimuli. This universal approach provides valuable insights into the design and engineering of multifunctional photosensitive periodic surfaces, offering broad potential applications in information security and optical encryption. © 2025, The Authors. All rights reserved.

关键词： Optical design

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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.

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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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Nonlinear ultrasonic Rayleigh wave detection of wear characteristics in TC4 titanium alloy: Correlation with residual stress

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Mechanical Systems and Signal Processing 2025年 235卷

作者： Ding, Xiangyan Zhang, Qinghui Yang, Bo Wang, Jishuo Xu, Chunmei Bi, Xiaoyang Qi, Zhengpan Deng, Mingxi Hu, Ning School of Mechanical Engineering State Key Laboratory of Reliability and Intelligence Electrical Equipment National Engineering Hebei University of Technology Tianjin300401 China Southwest University of Science and Technology Mianyang621010 China Chongqing University Chongqing400044 China

TC4 titanium alloy, widely utilized in mechanical systems due to its exceptional performance characteristics, faces inevitable challenges from frictional wear that results in volume loss and residual stresses, ultimately compromising system performance and reliability. This investigation systematically detects the dry friction wear behavior of TC4 titanium alloy under different conditions of normal load (0–100 N), wear cycles (0–6000 cycle), and displacement amplitudes (0–4 mm) by nonlinear ultrasonic Rayleigh wave technology in combination with white light interferometric detection and X-ray diffraction detection. Results demonstrate that surface morphology characteristics, wear volume, wear depth, and residual stress exhibit proportional increases with normal load, wear cycles, and displacement amplitude by white light interferometric detection and X-ray diffraction detection. These parameters correlate with enhanced nonlinear Rayleigh effects, manifesting in second/third harmonic (4 MHz/6 MHz) and zero frequency components with fundamental wave of 2 MHz. The ultrasonic nonlinear coefficients of the second and third harmonics increase monotonically with the increase of the wear parameter. And second/third harmonic components demonstrate superior sensitivity compared to zero frequency measurements. Significantly, the nonlinear coefficient is predominantly influenced by residual stress rather than wear depth or volume. Numerical simulations of nonlinear ultrasonics with indentation depth parameters (0/40/55/65/80 μm) and the 2–5 times material nonlinearity as the different wear residual stress state corroborate these experimental findings. The study establishes that ultrasonic nonlinear coefficients serve as effective indicators of residual stress during wear processes, thereby enabling quantitative wear severity assessment and facilitating in-situ nondestructive evaluation through nonlinear ultrasonic techniques. © 2025

关键词： Ultrasonic testing

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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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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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Intermittent ELF-MF exposure effectively ameliorates pathologic features associated with adult AD mice

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Brain Research 2025年

作者： Duyan Geng Aoge Liu Yuxin Yan Weiran Zheng School of Electrical Engineering Hebei University of Technology Tianjin 300130 China State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of Technology Tianjin 300130 China School of Life Science and Health Engineering Hebei University of Technology Tianjin 300130 China

Objective Extremely low frequency magnetic fields (ELF-MF) have been confirmed to have potentially positive effects on Alzheimer’s disease (AD). However, the therapeutic effects are influenced by the exposure mode and the pathological process. Currently, there is no optimized treatment plan for the pathological process of AD. This study aims to optimize the exposure mode of ELF-MF to improve the therapeutic effect on AD mice with different degrees of dementia. Method This study employed 40 Hz, 10mT continuous pulsed ELF-MF stimulation, intermittent (stimulating for 30 min every 12 h) and continuous (stimulating for 60 min every 24 h) ELF-MF exposure. Through calculating various behavioral data, the changes in spatial working memory (SWM) of each group of mice were compared; the time–frequency distribution analysis method was applied to compare the changes in the theta band and gamma band neural oscillations of local field potentials (LFPs) signals in the CA1 region of the hippocampus during the object location task (OLT) of each group of mice; by analyzing the immunofluorescence images of Amyloid-beta 42 (Aβ 42 ) and dynamin-related protein 1 (Drp1) in the hippocampal region of each group of mice, the changes in Aβ 42 and Drp1 contents were compared. Results ELF-MF stimulation can improve the SWM ability of AD model mice. Among them, intermittent stimulation in the adult group shows a better effect, while continuous stimulation in the aged group is superior. Further LFPs analysis reveals that AD leads to a decrease in theta and gamma frequency band energy in the CA1 area of the hippocampus, while ELF-MF stimulation can significantly enhance its energy. Moreover, in the adult group, the improvement of theta and gamma frequency bands under intermittent stimulation is more obvious, and in the aged group, the improvement of theta frequency band under continuous stimulation is more significant. The results of immunofluorescence detection indicate that ELF-MF stimulation

关键词： Alzheimer’s disease Amyloid-β Drp1 Extremely low-frequency magnetic field Magnetic stimulation mode Mitochondrial dynamics Neural oscillation

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