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Intelligent Diagnosis Method for Typical Co-frequency Vibration Faults of Rotating Machinery Based on SAE and Ensembled ResNet-SVM

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Chinese Journal of Mechanical engineering 2024年第4期37卷 215-230页

作者： Xiancheng Zhang Xin Pan Hao Zeng Haofu Zhou Beijing Key Laboratoryof Health Monitoring and Self-recovery for High-end Mechanical Equipment Beijing University of Chemical TechnologyBeijing 100029China Engineering Research Center of Chemical Safety(Ministry of Education) Beijing University of Chemical TechnologyBeijing 100029China Engineering Management Department of China Three Gorges New Energy(Group)Co. Ltd.Beijing 101199China

Intelligent fault diagnosis is an important method in rotating machinery fault diagnosis and equipment health *** deal with co-frequency vibration faults,a type of typical fault in rotating machinery,this paper proposes a fault diagnosis method based on the stacked autoencoder(SAE)and ensembled ***,the time-and frequency-domain features of several co-frequency vibration faults are summarized based on the mechanism analysis and calculated using actual vibration *** realize and validate the high-precision diagnosis method of rotating equipment with co-frequency faults proposed in this study,the following three criteria are required:First,to improve the effectiveness and robustness of the ensembled model and the sliding window using data augmentation,adding noise,autoencoder(AE)and SAE methods are analyzed in terms of principle and practical ***,ResNet is used as the feature extractor for the ensembled ResNet-SVM *** extraction is carried out twice,and the extracted co-frequency fault features are more ***,the data augmentation method and ensemble ResNet-SVM are combined for fault diagnosis and compared with other *** experimental results show that the accuracy of the proposed method can exceed 99.9%.

关键词： Co-frequency vribation Data argumentation Ensembeled ResNet-SVM high precision fault diagnosis

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Activation Distance and Capacity Analysis for Ambient Backscatter Communications with Sensitivity Constraint and Beamforming

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China Communications 2024年第11期21卷 257-266页

作者： Mu Yunping Fan Dian Wang Gongpu Xu Yongjun Kuang Lei Engineering Research Center of Network Management Technology for High Speed Railway of Ministry of Education School of Computer and Information TechnologyBeijing Jiaotong UniversityBeijing 100044China China Academy of Information and Communications Technology Beijing 100191China School of Communication and Information Engineering Chongqing University of Posts and TelemcommunicationsChongqing 400065China Shanghai Key Laboratory of Multidimensional Information Processing Engineering Center of SHMEC for Space Information and GNSSSchool of Information Science and TechnologyEast China Normal UniversityShanghai 200241China

Circuit sensitivity of sensors or tags without battery is one practical constraint for ambient backscatter communication *** letter considers using beamforming to reduce the sensitivity constraint and evaluates the corresponding performance in terms of the tag activation distance and the system ***,we derive the activation probabilities of the tag in the case of single-antenna and multi-antenna ***,we obtain the capacity expressions for the ambient backscatter communication system with beamforming and illustrate the power allocation that maximizes the system capacity when the tag is ***,simulation results are provided to corroborate our proposed studies.

关键词： activation distance ambient backscatter communications beamforming channel capacity power allocation sensitivity

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Adaptive Sensor Scheduling for Federated Learning over 6G in-X Subnetworks 2

Adaptive Sensor Scheduling for Federated Learning over 6G in...

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2nd International Conference on Smart Technologies and Systems for Next Generation Computing, ICSTSN 2023

作者： Wu, Qiaoli Gao, Bo Xiong, Ke Beijing Jiaotong University Engineering Research Center of Network Management Technology for High-Speed Railway Ministry of Education School of Computer and Information Technology Beijing China

ISBN: (纸本)9798350348002

In the upcoming 6G era, various end devices with data and computing resources can collaborate through federated learning (FL) to achieve the goal of ubiquitous intelligence. Inside any of those 'X' (i.e. everything) devices, however, a6G in-X subnetwork that wirelessly uploads training data from onboard sensors to an embedded access point (AP) may become a communication bottleneck during the process of FL. To support communication-efficient FL over in-X subnetworks, this paper proposes an adaptive sensor scheduling algorithm that jointly solves a queue stability problem and an age of information (AoI) optimization problem, based on Lyapunov optimization and MaxRatio scheduling methods. Simulations show that the proposed algorithm achieves higher FL accuracy, while guaranteeing queue stability at APs and better data freshness (quality) for data uploading over in-X subnetworks. © 2023 IEEE.

关键词： Scheduling algorithms

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A Fault Tracing Method based on Knowledge Graph and Weighted Path Ranking Algorithm 15

A Fault Tracing Method based on Knowledge Graph and Weighted...

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15th IEEE Global Reliability and Prognostics and Health management Conference, PHM-Beijing 2024

作者： Wang, Zibo Li, Honghui Zhang, Junwen Yang, Xiaorui Shen, Nahao School of Computer Science and Technology Beijing Jiaotong University Beijing China School of Computer Science and Technology Beijing Jiaotong University Engineering Research Center of Network Management Technology for High Speed Railway of MOE Beijing China

ISBN: (纸本)9798350354010

The structure of railway systems is complex, and accurately and rapidly identifying the root cause of faults post-occurrence is an emerging challenge in the industry. However, railway fault tracing mainly relies on manual experience and traditional data analysis techniques, with most tracing methods suffering from low efficiency and insufficient accuracy. To address these issues, this paper proposes a railway safety equipment fault tracing method based on knowledge graphs and weighted path ranking algorithm. The approach integrates knowledge graphs with Bayesian networks, attention mechanisms, and graph computation, utilizing a weighted calculation to run the weighted path ranking algorithm. Experimental results demonstrate that the proposed method achieves excellent tracing performance in the field of railway equipment. © 2024 IEEE.

关键词： Knowledge graph

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Combining Fourier-based Channel Attention with TCN and Informer for Railway Accident Prediction 15

Combining Fourier-based Channel Attention with TCN and Infor...

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15th IEEE Global Reliability and Prognostics and Health management Conference, PHM-Beijing 2024

作者： Shen, Nahao Li, Honghui Bai, Yanhui Yang, Xiaorui He, Ruiyi School of Computer Science and Technology Beijing Jiaotong University Beijing China School of Computer Science and Technology Beijing Jiaotong University Engineering Research Center of Network Management Technology for High Speed Railway of MOE Beijing China

ISBN: (纸本)9798350354010

The rapid expansion of railway networks and technological advancements has introduced significant challenges in ensuring railway safety. To address the critical need for effective prediction and prevention mechanisms, this paper proposes the FCAM-TCN-DSInformer model, a novel approach to railway accident prediction. The model integrates the Fourier-based Channel Attention Mechanism (FCAM), Temporal Convolutional Network (TCN), and De-stationary Informer (DSInformer) to capture both temporal and spectral features from time series data effectively. Extensive experiments and ablation studies were conducted to validate the model's performance. The results demonstrate that the FCAM-TCN-DSInformer model significantly outperforms both traditional and advanced models, including ARIMA, LSTM, GRU, Transformer, Autoformer, and FEDformer by achieving the highest R2 score and substantial reductions in error metrics such as RMSE, MAE, and MAPE. These improvements confirm the model's accuracy and robustness, making it a powerful tool for railway safety management. Moreover, the model's adaptability to different univariate time series datasets, such as the Daily Minimum Temperatures Dataset and the US Births Dataset, highlights its strong generalization capabilities. Future work will focus on optimizing the model for real-time predictions and expanding its application to multi-step prediction tasks, thereby fully realizing its potential across diverse forecasting contexts. © 2024 IEEE.

关键词： Railroad accidents

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Model-driven Time-varying Channel Estimation Method for OFDM System Based on Neural Network 24

Model-driven Time-varying Channel Estimation Method for OFDM...

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24th IEEE International Conference on Communication technology, ICCT 2024

作者： Zhu, Yue Fan, Dian Mu, Yunping Wang, Gongpu China Academy of Information and Communications Technology Beijing100191 China Beijing Jiaotong University Engineering Research Center of Network Management Technology for High Speed Railway Ministry of Education School of Computer and Information Technology Beijing100044 China

ISBN: (纸本)9798350363760

Channel estimation plays an important role in orthogonal frequency division multiplexing (OFDM) systems, which directly affects the performance of wireless communication systems in high-speed mobile scenarios. In this paper, we propose a model-driven channel estimation method for OFDM systems with doubly selective channels. Instead of completely abandoning traditional communication modules, we first obtain rough channel estimation using the least square (LS) method and then use a neural network called RefineNet for accuracy improvement. The results show that our proposed method significantly outperforms the linear minimum mean squared error (LMMSE) method. © 2024 IEEE.

关键词： Orthogonal frequency division multiplexing

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Boroxine Crystalline Covalent Organic Frameworks Based Single-ion Quasi-solid-state Conductor in Lithium-ion Battery

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Chinese Journal of Polymer Science 2025年第1期43卷 177-187,I0012页

作者： Hao-Min Wu Wen-Can Ma Yi-Feng Cai Xin Huang Jun-Heng Li Xi Kai Qiu-Hong Zhang Xu-Dong Jia Key Laboratory of High-Performance Polymer Material and Technology of MOE Department of Polymer Science and EngineeringSchool of Chemistry and Chemical EngineeringNanjing UniversityNanjing 210023China Institute of Chemical Industry of Forest Products Chinese Academy of Forestry DepartmentNanjing 210018China School of Chemistryand Chemical Engineering Frontiers Science Center for Transformative MoleculesShanghai Jiao Tong UniversityShanghai 200240China Executive in Low Carbon Management Division of QHSE Department Sinochem Holdings Corporation LtdCentral TowerChemsunny World Trade CenterBejing 100031China State Key Laboratory of Coordination Chemistry Nanjing UniversityNanjing 210023China

Solid-state electrolytes are considered to be the vital part of the next-generation solid-state batteries(SSBs),due to their high safety and long operation life ***,the two major factors that impede the expected performance of batteries are:the easy formation of lithium dendrites due to the concentration gradient of anions,and the low ionic conductivity at room temperature,which prevents reaching ideal electrochemical ***-ion quasi-solid-state electrolytes(SIQSSEs)could provide higher safety and energy density,owing to absence of anion concentration gradient and solvent,as well as good lithium-ion transport *** porous covalent organic frameworks(COFs)are beneficial for con-structing appropriate lithium-ion transport pathway,due to the ordered 1D *** addition,the boroxine COFs(COF-5)offers strong ability of withdrawing anion part of lithium *** but not the least,boron atom could play the role of coordinate site due to its electron *** advantages afford an opportunity to obtain a SIQSSE with high ionic conductivity and high lithium transference number(LTN)*** COF-5 based SIQSSEs delivered a high ionic conductivity of 6.3×10^(-4)S·cm^(-1),with a high LTN of 0.92 and a wide electrochemical stable window(ESW)of 4.7 V at room *** LiFePO4(LFP)/Li cells,which was assembled with COF-5 based SIQSSE,exhibited outstanding long cycle stability,high initial capacity and favorable rate *** results indicated COFs could be an ideal material for single-ion solid-state electrolytes in next-generation batteries.

关键词： Covalent organic framework Quasi-solid-state electrolyte Single-ion Lithium metal batteries

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Knowledge Extraction and Application of Railway Operation Equipment Fault Diagnosis Based on Knowledge Graph 15

Knowledge Extraction and Application of Railway Operation Eq...

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15th IEEE Global Reliability and Prognostics and Health management Conference, PHM-Beijing 2024

作者： He, Ruiyi Li, Honghui Liu, Shufang Yang, Xiaorui Wang, Zibo School of Computer Science and Technology Beijing Jiaotong University Beijing China School of Computer Science and Technology Beijing Jiaotong University Engineering Research Center of Network Management Technology for High Speed Railway of MOE Beijing China School of Railway Safety Theory and Technology Southwest Jiaotong University Sichuan China

ISBN: (纸本)9798350354010

Focusing on the issue where traditional fault diagnosis methods cannot effectively utilize the textual records of railway equipment faults and heavily rely on experts' experience, a knowledge graph-based fault analysis method for railway operation equipment is proposed. By designing preprocessing rules to process the text corpus to be annotated, and combining the attention mechanism (ATT) and bi-directional gated recurrent neural network (BiGRU) to complete the knowledge extraction, the knowledge graph of railway operation equipment faults is constructed. On this basis, a cause recommendation strategy combining query and reasoning is designed, which can give reasonable fault analysis suggestions based on the faults that have occurred. This research utilizes the dataset sourced from a railway administration, examines the effectiveness of the knowledge extraction method through experiments, and analyzes the feasibility of utilizing the constructed knowledge graph to assist in fault analysis through cause recommendation. © 2024 IEEE.

关键词： Knowledge graph

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General theory for designing phonon transport in alloyed/doped materials

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Science China(Physics,Mechanics & Astronomy) 2024年第12期67卷 133-140页

作者： Chenhan Liu Chao Wu Wei Liu Yunshan Zhao Gang Zhang Hongmin Yang Yunfei Chen Micro-and Nano-scale Thermal Measurement and Thermal Management Laboratory Key Laboratory of Numerical Simulation for Large Complex SystemsMinistry of EducationSchool of Energy and Mechanical EngineeringNanjing Normal UniversityNanjing210023China School of Electrical and Automation Engineering Nanjing Normal UniversityNanjing210023China Phonon Engineering Research Center of Jiangsu Province Center for Quantum Transport and Thermal Energy ScienceInstitute of Physics Frontiers and Interdisciplinary SciencesSchool of Physics and TechnologyNanjing Normal UniversityNanjing210023China Agency for Science Technology and ResearchInstitute of High-Performance ComputingSingapore138632Singapore Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments School of Mechanical EngineeringSoutheast UniversityNanjing211100China

Alloying/doping is a widely used technique for improving the electrical,mechanical,and optical properties of ***,this technology induces significant distortions in the lattice structure,mass distribution,and potential field,greatly enhancing phonon ***,we introduce the concept of alloying/doping path and employ crystal symmetry,lattice deformation,and electron distribution to characterize *** on this new concept,the phonon thermal transport behavior in alloyed/doped materials can be well designed,and along different alloying/doping paths,the difference in thermal conductivity can be up to 45 *** one hand,strategic alloying/doping that combines high crystal symmetry,large lattice contraction,and the same electron distribution suppresses phonon-phonon scattering phase space,induces phonon stiffening,and bolsters electronic structure symmetry,*** synergistic effects significantly improve thermal *** the other hand,random alloying/doping has a low symmetry,leading to the typical“U”shape of alloying/doping level-dependent thermal *** theory is corroborated in three-dimensional(3D)Si,2D MoS_(2),and quasi-1D TiS_(3),affirming its efficacy and broad applicability in controlling phonon transport.

关键词： phonon transport alloyed/doped materials crystal symmetry lattice contraction electronic structure

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DQ-WiAPDoM: A DQN-based AP Deployment Optimization Method for Wi-Fi FTM Positioning 2

DQ-WiAPDoM: A DQN-based AP Deployment Optimization Method fo...

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2nd International Conference on Smart Technologies and Systems for Next Generation Computing, ICSTSN 2023

作者： Liu, Zihao Li, Han Gao, Bo Xiong, Ke Fan, Pingyi Beijing Jiaotong University School of Computer and Information Technology Beijing China Engineering Research Center of Network Management Technology for High Speed Railway Ministry of Education School of Computer and Information Technology Beijing Jiaotong University Beijing China Tsinghua University Department of Electronic Engineering Beijing China

ISBN: (纸本)9798350348002

This paper focuses on how to optimize the deployment location of the anchor Wi-Fi access points (APs) in order to enhance the indoor positioning performance of the finetime measurement (FTM) protocol. Compared to conventional Wi-Fi positioning, FTM protocol is able to achieve relatively good indoor positioning performance since it estimates distance between a sender and its receiver with the flight duration of Wi-Fi signals. However, the FTM-based positioning accuracy in NLoS environments is still not high, which restricts its application in indoor scenarios. To this end, we formulate an optimization problem to maximize the total number of LoS paths by optimizing the locations of the anchor APs. To solve the problem, we propose a Deep Q-Network (DQN)-based AP deployment optimization method (DQ-WiAPDoM), which utilizes DQN to optimize the locations of APs such that the total number of LoS paths over all covered area is maximized. Experimental results show that DQ-WiAPDoM converges well and is able to reduce the average positioning error efficiently. © 2023 IEEE.

关键词： Wi-Fi

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