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Bearing Fault Diagnosis Based on the Markov Transition Field and SE-IShufflenetV2 Model

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Structural Durability & Health Monitoring 2025年第1期19卷 125-144页

作者： Chaozhi cai Tiexin Xu Jianhua Ren Yingfang Xue School of Mechanical and Equipment Engineering Hebei University of EngineeringHandan056038China

A bearing fault diagnosis method based on the Markov transitionﬁeld(MTF)and SEnet(SE)-IShufﬂenetV2 model is proposed in this paper due to the problems of complex working conditions,low fault diagnosis accuracy,and poor generalization of rolling ***,MTF is used to encode one-dimensional time series vibration sig-nals and convert them into time-dependent and unique two-dimensional feature ***,the generated two-dimensional dataset is fed into the SE-IShufﬂenetV2 model for training to achieve fault feature extraction and classiﬁ*** paper selects the bearing fault datasets from Case Western Reserve University and Paderborn University to experimentally verify the effectiveness and superiority of the proposed *** generalization performance of the proposed method is tested under the variable load condition and different signal-to-noise ratios(SNRs).The experimental results show that the average accuracy of the proposed method under different working conditions is 99.2%without adding *** accuracy under different working conditions from 0 to 1 HP is 100%.When the SNR is 0 dB,the average accuracy of the proposed method can still reach 98.7%under varying working ***,the bearing fault diagnosis method proposed in this paper is characterized by high accuracy,strong anti-noise ability,and ***,the proposed method can also overcome the inﬂuence of variable working conditions on diagnosis accuracy,providing method support for the accurate diagnosis of bearing faults under strong noise and variable working conditions.

关键词： Bearings Markov transitionﬁeld SE-IShufﬂenetV2

Collisional Quantum Interference on Rotational Energy Transfer： Relation Between Integral Interference Angle and Rotational Quantum Number in Na2（A^1∑u^＋,ν=8～b^3∏0u,ν=14）-Na System

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Communications in Theoretical Physics 2006年第1X期46卷 123-129页

作者： WANG Wei-Li song Peng LI Yong-Qing MIAO Gang MA feng-cai School of Science Liaoning Technical University Fuxin 123000 China Dalian Institute of Chemical Physics the Chinese Academy of Sciences Dalian 16023 China Department of Physics Liaoning University Shenyang 110036 China

Collisional quantum interference （CQI） on rotational energy transfer was observed in Na2（A^1∑u^＋,ν=8～b^3∏0u,ν=14） system in collision with Na [Chem. Phys. Lett. 318 （2000） 107], and the degree of the interference was measured. The integral interference angle was obtaJned through theoretical calculation. We will research the factors that have effect on collisional quantum interference on rotational energy transfer in Na2（A^1∑u^＋,ν=8～b^3∏0u,ν=14）-Na system. Basing on the time-dependent first order Born approximation, and taking into account the anlsotroplc Lennard Jones interaction potentials and ＂straight-line＂ trajectory approximation, we obtain the factors that have effect on CQI in Na2-Na system, and obtain the relation between the integral interference angle and rotational quantum number.

关键词： rotational energy transfer interference angle rotational quantum number

DFT Study on One-carbon Unit Transfer from 1,10-CH^+- tetrahydroquinoxaline to Methylamine

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Chinese Chemical Letters 2003年第1期14卷 72-75页

作者： Chuan song QI Da Cheng feng Hua Yang WANG Zheng Ting cai Institute of Theoretical Chemistry Shandong UniversityJinan 250100

Density Functional Theory (DFT) method was used in this paper to study one-carbon transfer from 1,10-tetrahydroquinoxaline, an analogue of tetrahydrofolic acid, to methylamine. This reaction can be completed via two paths. From the computation result we can conclude that a general-acid catalysis exists in this reaction. By computation we find DFT has its limitation in describing a newly incorporated structure with a unit charge.

关键词： Density Functional Theory (DFT) folate cofactor tetrahydroquinoxaline one-carbon unit transfer.

Texture image classification with discriminative neural networks

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Computational Visual Media 2016年第4期2卷 367-377页

作者： Yang song Qing Li Dagan feng Ju Jia Zou Weidong cai School of Information Technologies the University of Sydney School of Computing Engineering and MathematicsWestern Sydney University

Texture provides an important cue for many computer vision applications, and texture image classification has been an active research area over the past years. Recently, deep learning techniques using convolutional neural networks(CNN) have emerged as the state-of-the-art: CNN-based features provide a significant performance improvement over previous handcrafted features. In this study, we demonstrate that we can further improve the discriminative power of CNN-based features and achieve more accurate classification of texture images. In particular, we have designed a discriminative neural network-based feature transformation(NFT) method, with which the CNN-based features are transformed to lower dimensionality descriptors based on an ensemble of neural networks optimized for the classification objective. For evaluation, we used three standard benchmark datasets(KTH-TIPS2, FMD, and DTD)for texture image classification. Our experimental results show enhanced classification performance over the state-of-the-art.

关键词： texture classification neural networks feature learning feature transformation

Phase behavior of heavy oil-solvent mixture systems under reservoir conditions

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Petroleum Science 2020年第6期17卷 1683-1698页

作者： Xiao-Fei Sun Zhao-Yao song Lin-feng cai Yan-Yu Zhang Peng Li School of Petroleum Engineering China University of Petroleum(East China)Qingdao 266580ShandongPeople’s Republic of China Nanjing Air Fuel Co. Ltd.Nanjing 211113JiangsuPeople’s Republic of China

A novel experimental procedure was proposed to investigate the phase behavior of a solvent mixture(SM)(64 mol%CH4,8 mol%CO2,and 28 mol%C3 H8)with heavy ***,a theoretical methodology was employed to estimate the phase behavior of the heavy oil-solvent mixture(HO-SM)systems with various mole fractions of *** experimental results show that as the mole fraction of SM increases,the saturation pressures and swelling factors of the HO-SM systems considerably increase,and the viscosities and densities of the HO-SM systems *** heavy oil is upgraded in situ via asphaltene precipitation and SM ***,the solvent-enriched oil phase at the top layer of reservoirs can easily be produced from the *** aforementioned results indicate that the SM has promising application potential for enhanced heavy oil recovery via solvent-based *** theoretical methodology can accurately predict the saturation pressures,swelling factors,and densities of HO-SM systems with various mole fractions of SM,with average error percentages of1.77%for saturation pressures,0.07%for swelling factors,and 0.07%for densities.

关键词： Heavy oil Solvent mixture PR-EOS Phase behavior Pressure-volume-temperature(PVT)

Energy Control of Plug-In Hybrid Electric Vehicles Using Model Predictive Control With Route Preview

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IEEE/CAA Journal of Automatica Sinica 2021年第12期8卷 1948-1955页

作者： Yang Zhao Yanguang cai Qiwen song Department of Mechanical and Electrical Engineering Guangdong University of Science and TechnologyDongguan 523083China School of Automation Guangdong University of TechnologyGuangzhou 510006China Transport Infrastructure Investment Company Guangzhou 510620China

The paper proposes an adoption of slope,elevation,speed and route distance preview to achieve optimal energymanagement of plug-in hybrid electric vehicles(PHEVs).Theapproach is to identify route features from historical and real-time traffic data,in which information fusion model and trafficprediction model are used to improve the information ***,dynamic programming combined with equivalent con-sumption minimization strategy is used to compute an optimalsolution for real-time energy *** solution is thereference for PHEV energy management control along the *** improve the system's ability of handling changing situation,the study further explores predictive control model in the real-time control of the energy.A simulation is performed to modelPHEV under above energy control strategy with route *** results show that the average fuel consumption of PHEValong the previewed route with model predictive control(MPC)strategy can be reduced compared with optimal strategy andbase control strategy.

关键词： Energy management model predictive control(MPC) optimal control plug-in hybrid electric vehicle(PHEV)

Progress of research in the application of ultrasound technology for the treatment of Alzheimer’s disease

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Neural Regeneration Research 2025年第10期20卷 2823-2837页

作者： Qiuquan cai Lianghui Meng Meina Quan Ling Wang Jing Ren Chenguang Zheng Jiajia Yang Dong Ming Academy of Medical Engineering and Translational Medicine Tianjin UniversityTianjinChina Innovation Center for Neurological Disorders Xuanwu HospitalCapital Medical UniversityBeijingChina Brain-Computer Interaction and Human-Machine Fusion Haihe Laboratory Tianjin UniversityTianjinChina Tianjin Key Laboratory of Brain Science and Neural Engineering Tianjin UniversityTianjinChina

Alzheimer’s disease is a common neurodegenerative disorder defined by decreased reasoning abilities,memory loss,and cognitive *** presence of the blood-brain barrier presents a major obstacle to the development of effective drug therapies for Alzheimer’s *** use of ultrasound as a novel physical modulation approach has garnered widespread attention in recent *** a safe and feasible therapeutic and drug-delivery method,ultrasound has shown promise in improving cognitive *** article provides a summary of the application of ultrasound technology for treating Alzheimer’s disease over the past 5 years,including standalone ultrasound treatment,ultrasound combined with microbubbles or drug therapy,and magnetic resonance imaging-guided focused ultrasound *** is placed on the benefits of introducing these treatment methods and their potential *** found that several ultrasound methods can open the blood-brain barrier and effectively alleviate amyloid-βplaque *** believe that ultrasound is an effective therapy for Alzheimer’s disease,and this review provides a theoretical basis for future ultrasound treatment methods.

关键词： Alzheimer’s disease blood-brain barrier drugs magnetic resonance imaging-guided focused ultrasound microbubbles scanning ultrasound ultrasound ultrasound stimulation

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儿童构音障碍干预方法及效果研究

中国听力语言康复科学杂志 2024年第6期22卷 593-596页

作者：马晓宇宋彩凤朱湘枝李永勤张磊张芳中国听力语言康复研究中心北京100029 广东省残疾人康复中心广州510000 湖南省残疾人康复中心长沙410000 上海市残疾人康复中心上海200000 上海闵行区启英幼儿园上海200000

构音障碍是指构音器官运动异常或未理解目标音位的发音特征等原因造成的声韵调异常。国内以构音障碍命名大部分和言语发音有关的问题。多数听力、语言及精神残疾儿童都会存在构音障碍,导致其言语可懂度降低,进而影响沟通交流,降低儿童... 详细信息

构音障碍是指构音器官运动异常或未理解目标音位的发音特征等原因造成的声韵调异常。国内以构音障碍命名大部分和言语发音有关的问题。多数听力、语言及精神残疾儿童都会存在构音障碍,导致其言语可懂度降低,进而影响沟通交流,降低儿童的生活质量。构音障碍干预可提高儿童言语清晰度和流畅度,增强其语言沟通能力,对于其接受教育,融入社会有很大帮助。因此,构音障碍干预十分重要。本文总结了国内外常用的构音障碍干预方法,包括传统治疗方法、音系疗法、运动动觉训练法、核心词汇法及辅助与替代沟通系统,分析各方法适用的目标儿童、效果及日常干预注意事项,以期为儿童构音障碍干预提供思路。

关键词：构音障碍特殊需要儿童干预方法

Compressed data separation via dual frames based split-analysis with Weibull matrices

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Applied Mathematics(A Journal of Chinese Universities) 2013年第4期28卷 427-437页

作者： cai Yun LI song Department of Mathematics Zhejiang University

In this paper, we consider data separation problem, where the original signal is composed of two distinct subcomponents, via dual frames based Split-analysis approach. We show that the two distinct subcomponents, which are sparse in two diff erent general frames respectively, can be exactly recovered with high probability, when the measurement matrix is a Weibull random matrix （not Gaussian） and the two frames satisfy a mutual coherence property. Our result may be significant for analysing Split-analysis model for data separation.

关键词： Compressed sensing data separation dual frames split-analysis Weibull random matrices