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2017 13th IEEE International Conference on Electronic measurement & Instruments (ICEMI)

作者： Peng Yumin Luan Zhongquan Ma Chao Wang Shaohong Beijing Information Science ＆Technology University The Key laboratory of Modern Measurement and Control Technology

ISBN: (纸本)9781509050369;9781509050352

The gears in large-scale wind power generation equipment are prone to crack over the years. Objected to the planetary gear transmission system in large-scale wind power generation equipment,considering the gear backlash, synthetic meshing error, damping and time-varying meshing stiffness, a nonlinear transverse-torsional coupled model was established. With the help of phase plane diagrams and the time history diagrams, continues analysis of the relationship between the kinematic response and the meshing frequencyis carried out. And the numerical simulation results showed that asthemeshing frequency is changed from small value to large value, the motion states of the system are changed from the stable single periodic motion to the chaotic motion within a certain range. In order to verify the results of simulation, we conducted an experimental study on a real gearbox. The analysis results of simulation and experimental study were consistent. The research results would have theoretical guidance value for the fault diagnosis in engineering.

关键词： planetary gear train transverse-torsional coupled dynamic characteristics chaos

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Osteoclast-derived exosomal miR-30a-3p promotes lead exposure-induced osteoporosis by triggering osteoblastic pyroptosis

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Clinical Science 2025年第7期139卷 389-410页

作者： Gao, Yue Zhang, Hang Jia, Yinnong Chen, Yuanfang Wang, Luna Ding, Jie Wang, Wen Zhu, Baoli Ouyang, Liu He, Xu An, Yan Yu, Tingting Zhang, Hengdong Xu, Ming Department of Occupational Disease Prevention Jiangsu Provincial Center for Disease Control and Prevention Nanjing 210009 China Jiangsu Province Engineering Research Center of Health Emergency Nanjing 210009 China Gulou District Center for Disease Control and Prevention Nanjing 210003 China Department of Pharmaceutical Sciences School of Pharmaceutical Sciences Kunming Medical University Kunming 650500 China College of Modern biomedical industry Kunming Medical University Kunming 650500 China Yunnan Key Laboratory of Pharmacology for Natural Products Kunming Medical University Kunming 650500 China Engineering Research Center of Health Emergency Jiangsu Provincial Center for Disease Control and Prevention Nanjing 210009 China Taicang Center for Disease Control and Prevention Suzhou 215400 China Department of Toxicology School of Public Health Suzhou Medical College Soochow University Key Laboratory of Geriatric Disease Prevention and Translational Medicine Jiangsu Suzhou 215123 China School of Public Health Nanjing Medical University Nanjing 211166 China Center for Global Health School of Public Health Nanjing Medical University Nanjing 211166 China Department of Orthopaedics Union Hospital Huazhong University of Science and Technology Wuhan 430022 China Department of Orthopaedics Jilin City People’s Hospital Jilin 132001 China Department of Medical Genetics School of Basic Medical Sciences Nanjing Medical University Nanjing 211166 China

High lead (Pb) burden in humans disrupts bone homeostasis and can induce osteoporosis. Here, we report that osteoclast-derived exosomes (OC-Exos) were enriched in the plasma of patients with low bone mineral density and Pb exposure. Osteoclasts (OCs) secrete microRNA-enriched exosomes, through which miR-30a-3p is transferred to osteoblasts (OBs) to induce pyroptosis, leading to the aggravation of bone loss. Mechanistically, OC-Exo-packaged miR-30a-3p triggered pyroptosis in OBs by stimulating the NLRP3 inflammasome, activating the caspase-1 pathway, and up-regulating the expression of IL-1 and IL-18. Depletion of miR-30a-3p abolished the effects of OC-Exo and alleviated the symptoms of Pb-induced osteoporosis. Collectively, our results suggest that miR-30a-3p is highly expressed in exosomes derived from OCs and mediates OB pyroptosis, inhibiting bone formation through cellular communication in Pb-induced osteoporosis. Therefore, OC-Exo-packaged miR-30a-3p may be a novel risk factor for Pb-induced osteoporosis and holds prognostic value in evaluating bone formation. © 2025 The Author(s).

关键词： exosomes miR-30a-3p osteoblasts osteoclasts Pb pyroptosis

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Early faults prediction of running state of electromechanical systems and reconfigurable integration of series safety monitoring systems

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仪器仪表学报 2014年第S2期35卷 224-232页

作者： Xu Xiaoli Zuo Yunbo Chen Tao Liu Xiuli Chen Shanpeng Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science and Technology University School of Mechanical and Vehicle Engineering Beijing Institute of Technology Department of Environmental Science and Engineering Faculty of Bioresources Mie University

Fault prediction technology of running state of electromechanical systems is one of the key technologies that ensure safe and reliable operation of electromechanical equipment in health state. For multiple types of modern, high-end and key electromechanical equipment, this paper will describe the early faults prediction method for multi-type electromechanical systems, which is favorable for predicting early faults of complex electromechanical systems in non-stationary, nonlinear, variable working conditions and long-time running state; the paper shall introduce the reconfigurable integration technology of series safety monitoring systems based on which the integrated development platform of series safety monitoring systems is built. This platform can adapt to integrated R&D of series safety monitoring systems characterized by high technology, multiple species and low volume. With the help of this platform, series safety monitoring systems were developed, and the Remote Network Security Monitoring Center for Facility Groups was built. Experimental research and engineering applications show that: this new fault prediction method has realized the development trend features extraction of typical electromechanical systems, multi-information fusion, intelligent information decision-making and so on, improving the processing accuracy, relevance and applicability of information; new reconfigurable integration technologies have improved the integration level and R&D efficiency of series safety monitoring systems as well as expanded the scope of application; the series safety monitoring systems developed based on reconfigurable integration platform has already played an important role in many aspects including ensuring safety operation of equipment, stabilizing product quality, optimizing running state, saving energy consumption, reducing environmental pollution, improving working conditions, carrying out scientific maintenance, advancing equipment utilization, saving mainten

关键词： electromechanical systems early faults safety control monitoring systems reconfigurable integration

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Floquet scattering resonances in two dimensions

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Physical Review A 2025年第2期111卷 023328-023328页

作者： Cai-Xia Zhang Shi-Guo Peng Guo-Qing Zhang Hui Yan Key Laboratory of Atomic and Subatomic Structure and Quantum Control (Ministry of Education) Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter School of Physics South China Normal University Guangzhou Guangdong 510006 China Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials Guangdong-Hong Kong Joint Laboratory of Quantum Matter Frontier Research Institute for Physics South China Normal University Guangzhou Guangdong 510006 China State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics Innovation Academy for Precision Measurement Science and Technology Chinese Academy of Sciences Wuhan Hubei 430071 China Center for Cold Atom Physics Chinese Academy of Sciences Wuhan Hubei 430071 China Research Center for Quantum Physics Huzhou University Huzhou Zhejiang 313000 China

In this work we establish a general scattering theory for two-dimensional quantum systems with periodically modulated interactions. We show that scattering quantities, such as the scattering cross section, effective scattering length, and effective-range parameter, can be defined in a manner analogous to conventional scattering theory, even in the presence of modulation. Unlike systems with static interactions, the incident wave in our setup can be scattered inelastically into different Floquet channels, absorbing or emitting quanta from the modulation field. A family of Floquet resonances is identified, at which universal recurrence relations are derived for the Floquet scattering amplitudes. These relations are equivalent to a discrete Schrödinger equation describing a pointlike source trapped by an effective potential. The resonance mechanism is explained as the coincidence of the point source's energy with the bound states of the effective potential. We discuss the scattering properties both at and near the resonances, finding that the resonance width and the ratio of the inelastic to elastic cross sections can be effectively controlled through the modulation of the interaction. Our results provide a pathway to precisely manipulate many-body interactions in periodically driven quantum systems.

关键词： Schrodinger equation

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Mobile Robot Navigation Using ORB-SLAM3: A Multi-Modal Autonomous System

Mobile Robot Navigation Using ORB-SLAM3: A Multi-Modal Auton...

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2025 International Conference on Electrical Automation and Artificial Intelligence, ICEAAI 2025

作者： Da Conceicao, Ariano Tian, Lianfang Du, Qiliang Yuan, Ling School of Automation Science and Engineering South China University of Technology Guangzhou 510641 China Research Institute of Modern Industrial Innovation South China University of Technology Guangzhou China Guangdong Engineering Research Center of Cloud-Edge-End Collaboration Technology for Smart City Guangzhou China Key Laboratory of Autonomous Systems and Network Control of Ministry of Education Guangzhou China Key Laboratory of Large-Model Embodied-Intelligent Humanoid Robot (2024KSYS004) Guangzhou China Sino-Singapore International Joint Research Institute Guangzhou 511363 China

ISBN: (纸本)9798331506797

Indoor mobile robots require reliable solutions for mapping, localization, and navigation tasks. This paper presents a mobile robot system that implements the ability to realize mapping using visual SLAM with ORB-SLAM3 and LiDAR-based mapping with Gmapping for indoor perception and navigation through a modular ROS architecture. The framework also implements autonomous navigation and an autonomous Rapidly-exploring Random Trees (RRT) exploration module with adaptive reset mechanisms. The system operates on a ROS-based platform equipped with an Intel RealSense D435i RGB-D camera and LDS-02 LiDAR scanner. Experimental validation in simulated indoor environments demonstrates the system's capabilities and the presented architecture achieves computational efficiency through selective utilization of mapping modules while maintaining mapping accuracy through complementary sensor modalities. © 2025 IEEE.

关键词： LiDAR SLAM Mapping Navigation ORBSLAM 3 ROS RRT

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5G Ultra-Dense Network Fingerprint Positioning Method Based on Matrix Completion

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China Communications 2023年第3期20卷 105-118页

作者： Yuexia Zhang Chong Liu Key Laboratory of Information and Communication Systems Ministry of Information IndustryBeijing Information Science and Technology UniversityBeijing 100101China Key Laboratory of Modern Measurement and Control Technology Ministry of EducationBeijing Information Science and Technology UniversityBeijing 100101China

The problem of high-precision indoor positioning in the 5G era has attracted more and more attention.A fingerprint location method based on matrix completion(MC-FPL)is proposed for 5G ultradense networks to overcome the high costs of traditional fingerprint database construction and matching ***,a partial fingerprint database constructed and the accelerated proximal gradient algorithm is used to fill the partial fingerprint database to construct a full fingerprint ***,a fingerprint database division method based on the strongest received signal strength indicator is proposed,which divides the original fingerprint database into several sub-fingerprint ***,a classification weighted K-nearest neighbor fingerprint matching algorithm is *** estimated coordinates of the point to be located can be obtained by fingerprint matching in a sub-fingerprint *** simulation results show that the MC-FPL algorithm can reduce the complexity of database construction and fingerprint matching and has higher positioning accuracy compared with the traditional fingerprint algorithm.

关键词： indoor positioning fingerprint matching matrix completion 5G UDN RSSI

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Degradation Mechanisms Of Bisphenol a in Fe(Iii)/Oxalic Acid/Sodium Percarbonate System: The key Roles of Iron Oxalate Complexes

SSRN

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SSRN 2025年

作者： Xu, Zhimin He, Siyu Wang, Lingzhi Li, Fangfang Gao, Peng Peng, Hongbo Wang, Siyao Chang, Kexin Xiong, Guomei Wang, Yilin Pan, Bo Faculty of Modern Agricultural Engineering Kunming University of Science & Technology Yunnan Kunming650500 China Yunnan Provincial Key Laboratory of Soil Carbon Sequestration and Pollution Control Faculty of Environmental Science & Engineering Kunming University of Science & Technology Yunnan Kunming650500 China Kunming University of Science and Technology Yunnan Kunming650500 China Institute of Traffic Engineering Kunming University of Science and Technology Yunnan Kunming650500 China City College Kunming University of Science & Technology Yunnan Kunming650500 China

Oxalic acid (OA) enhances the reduction of trivalent iron (Fe(III)) in homogeneous Fenton systems, it also increases reactive oxygen species (ROS) production and contaminant degradation. However, due to the coexistence of Fe(II), Fe(III)-OA/hydroperoxide complex, ROS generation pathways and degradation mechanisms of contaminants are ambiguous. In this work, bisphenol A (BPA) was selected as a model contaminant, its degradation mechanisms affected by Fe(II)/Fe(III) and OA were investigated. The degradation ratio of BPA was 95% in the OA/Fe(III)/sodium percarbonate (SPC) system, which was higher than that of individual system ( © 2025, The Authors. All rights reserved.

关键词： Electron spin resonance spectroscopy

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Fault feature extraction based on optimal energy using lifting wavelet packet

Fault feature extraction based on optimal energy using lifti...

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2011 International Conference on Information Science and technology, ICIST 2011

作者： Xu, Xiaoli Chen, Tao Wang, Shaohong Key Laboratory of Modern Measurement and Control Technology Beijing Information Science and Technology University Beijing Institute of Technology Beijing China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China

ISBN: (纸本)9781424494408

Fault prediction is the key technology to guarantee the safe operation of large mechanical equipment,and fault feature extraction is a key issue in fault prediction. To extract fault feature from the non-stationary fault signals, this paper proposed a fault feature extraction method using lifting wavelet packet, and constructed the fault feature vector of optimal energy. The fault feature extraction analysis shows that the proposed method can highlight the energy change within the optimal decomposition frequency band, and effectively reflect the fault status. © 2011 IEEE.

关键词： Feature extraction

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Prediction approaches of deterioration trend of operating stability of wind turbines and systematic research 13

Prediction approaches of deterioration trend of operating st...

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2017 13th IEEE International Conference on Electronic measurement & Instruments (ICEMI)

作者： Xu Xiaoli Liu Xiuli Zuo Yunbo Jiang Zhanglei Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science and Technology University

ISBN: (纸本)9781509050369;9781509050352

The prediction theories and approaches of stability deterioration trend were proposed through intensive studies against the operating stability and safety of complicated electromechanical systems in new energy equipment represented by conventional wind turbines, which provides the research foundation for improving the technical support level and scientific maintenance level of safety and stability of complicated electromechanical systems. In this research, the development rule of stability deterioration of electromechanical systems was revealed;the signal processing techniques for weak information of development trend of early failure were proposed;the feature extraction method for development trend of operating status of long-course load-variant electromechanical systems was proposed;and the prediction model and system for deterioration trend of operating stability of systems was constructed. The research achievement can be applied to the safety monitoring and fault warning of new energy equipment represented by wind turbines, which not only enhances the R&D level of related safety monitoring instruments, but also ensures safe and reliable operation of equipment and achieves scientific maintenance, improves the operation and management level of equipment, reduces the economic losses caused by failure, and promotes the utilization and development of green energy.

关键词： Wind turbines trend weak information processing trend feature extraction deterioration trend prediction remote on-line monitoring and early warning system

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The forecast method and system of wind turbine operating status trend 13

The forecast method and system of wind turbine operating sta...

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2017 13th IEEE International Conference on Electronic measurement & Instruments (ICEMI)

作者： Liu Xiuli Xu Xiaoli Key Laboratory of Modern Measurement & Control Technology of Ministry of Education Beijing Information Science and Technology University

ISBN: (纸本)9781509050369;9781509050352

The development of wind power industry has put forward higher requirements for the remote monitoring method and system of wind turbines. To effectively guarantee the normal work of the equipment, the processing quality and fault forecast, remote on-line detection and intelligent fault diagnosis system platform is built. Firstly, the theory and method of remote monitoring and maintenance for wind turbines are put forward: dynamic characteristics degradation development tendency weak information signal processing and pre-processing, extraction of dynamic characteristics degradation trend characteristics in long-duration and variable-load state,establishment of trend prediction model and system based on combination of measured big data trend forecast and mechanical dynamic property trend prediction. Then, a remote monitoring system for wind turbines is constructed integrating with sensor technology, dynamic measurement and control technology, signal processing technology, fault pattern recognition technology and artificial intelligence technology. Field application shows that the system can effectively monitor the running status of the fan, achieve the real time alarm and running trend prediction effectively.

关键词： Wind turbines monitoring system fault detection trend prediction

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