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SSRN 2024年

作者： Zhang, Tian Lin, Jing Jiao, Jinyang Li, Hao School of Reliability and Systems Engineering Beihang University Beijing China Science and Technology on Reliability and Environmental Engineering Laboratory Beihang University Beijing100191 China

Unsupervised domain adaptation (UDA) has been widely studied in the fault diagnosis community, and remarkable success has been witnessed. Nonetheless, existing UDA methods always assumes that data is sufficient in source and target domains. In real industrial scenarios, access to massive amount of data is expensive, especially for the target domain. A direct and effective solution is to expand the amount of the original dataset through the generative models. However, when the available information on the target domain is exceptionally scarce, obtaining a perform-well generative model is significantly challenging. In light of this, we propose a novel composite-label guided cross-domain data fusion generation (CCDFG) method, which trains a latent diffusion model by integrating the data, class labels, pseudo-labels, and domain labels from the source and target domains. Notably, we redesign the classifier-free guidance conditional generative strategy for diffusion models, enhancing the data generation quality of the target domain by borrowing information from the source domain. Subsequently, we present a sample selection strategy based on entropy-oriented prediction uncertainty, aiming to improve the transfer performance of the UDA models by retaining high-value generated data. Comprehensive experiments and evaluations on two mechanical systems demonstrate the effectiveness and application prospects of our method. © 2024, The Authors. All rights reserved.

关键词： Failure analysis

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A Novel Method for Aircraft Actuator Fault Diagnosis Based on Causal Graph and T-S Fuzzy Model

A Novel Method for Aircraft Actuator Fault Diagnosis Based o...

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International Conference on Guidance, Navigation and Control, ICGNC 2022

作者： Chen, Yu Tao, Laifa Li, Yue Wang, Qiang Suo, Mingliang Zhao, Zhengduo Institute of Reliability Engineering Beihang University Beijing100191 China Science and Technology Laboratory on Reliability and Engineering Beihang University Beijing100191 China School of Reliability and Systems Engineering Beihang University Beijing100191 China Beijing Aerospace Automatic Control Research Institute Beijing100854 China Shenyang Aircraft Design and Research Institute Shenyang City110000 China

ISBN: (纸本)9789811966125

Proper assessment of the health status of the flight control system actuators, a critical system of the aircraft, is a prerequisite for proper aircraft operation. Timely and accurately determining the status of aircraft actuators help reduce the impact of faults. Obtaining knowledge related to fault information from actuator operation data and applying fault knowledge for diagnostic decisions is a crucial step in determining actuator status. In this paper, a novel fault diagnosis method is proposed by combining the causal inference method with the T-S fuzzy model. The proposed method improves the diagnostic decision performance of actuator faults by improving the fault knowledge acquisition process. The causal inference approach helps to obtain causal graph expressing the relationship between aircraft actuator parameters and states from actuator operational data. A subset of parameters with strong correlation with actuator states can be filtered out. The T-S fuzzy model was used to extract fuzzy diagnostic rules. Experience based on actuator simulation data verifies that the model can be effectively adapted to the actuator’s diagnostic logic and is competent for actuator troubleshooting tasks. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Failure analysis

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Bayesian Inference of Mechanical Property Parameters and Layup Orientation Angle in a Composite Wing

Bayesian Inference of Mechanical Property Parameters and Lay...

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2023 International Annual Conference on Complex Systems and Intelligent science, CSIS-IAC 2023

作者： Gong, Yulian Tang, Yuhua Zhang, Jianguo Beihang University School of Reliability and Systems Engineering Beijing China Technology and Industry for National Defence Prc Deep Space Exploration Laboratory State Administration of Science Beijing China

ISBN: (纸本)9798350309003

A Bayesian method is adopted to infer the mechanical property parameters and layup orientation angle of a composite wing in this paper. In order to make the calculation feasible, a basis-adaptive PC-Kriging model is proposed, which can replace the finite element model of the composite wing accurately. Considering that the simulation model of the composite wing is a high-dimensional model, AIES algorithm is used to model calibration of the composite wing, because it shows good performance in processing high-dimensional strongly correlated posterior distribution parameters. Finally, comparing the predicted parameters with the real parameters, the error is found to be small, which indicates that the proposed Bayesian method has good performance. © 2023 IEEE.

关键词： Kriging

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Discussion on the reliability Work of Future Combat Aircraft Under Aircraft/Engine Integrated Design

Discussion on the Reliability Work of Future Combat Aircraft...

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International Conference on reliability, Maintainability and Safety,ICRMS

作者： Yu Ding Tianhao Li Science and Technology at the Reliability and Environmental Engineering Laboratory China Institute of Reliability Engineering Beihang University Beijing China

ISBN: (数字)9798350329988

ISBN: (纸本)9798350329995

Traditional independent methods of aircraft and engine design can no longer meet the mission requirements of future aircraft, including high maneuverability, high energy, large airspace, and wide speed range. To achieve optimal matching between aircraft and engine and promote full play to the maximum performance potential of aircraft and engines, aircraft-engine integration designs are essential. Therefore, considering the highly coupled structure, complex control logic, and dramatic increase in energy and heat dissipation requirements under the integration design to ensure a high mission success rate, corresponding reliability analysis work and reliability level improvement of the whole aircraft are necessary. In this paper, the characteristics of work, structure, environment, and other aspects of aircraft-engine integrated design are initially considered, and the steps to conduct reliability work are discussed.

关键词： Heating systems Integrated design reliability engineering Safety Logic Aircraft Aircraft propulsion Optimal matching Engines Aerospace control

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reliability-Aware Network Slicing based on Multi-Objective Optimization 13

Reliability-Aware Network Slicing based on Multi-Objective O...

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13th IEEE Congress on Evolutionary Computation, CEC 2024

作者： Xia, Qiqi Wang, Jin Huang, Chengqiang Yao, Xin Southern University of Science and Technology Shenzhen China Southern University of Science and Technology Guangdong Key Laboratory of Brain-inspired Intelligent Computation Department of Computer Science and Engineering Shenzhen China Huawei Technologies Co. Ltd. Reliability Technology Lab Shenzhen China Lingnan University Department of Computing and Decision Sciences Hong Kong

ISBN: (纸本)9798350308365

Network slicing is an essential technology in 5G and the forthcoming 6G networks. It aims to embed multiple virtual networks, i.e., network slices, on top of a shared substrate network to meet diverse service requirements. While a considerable body of existing research strives to maximize overall profits by meeting the resource demands of the network slices, optimizing their reliability is frequently overlooked. In this paper, we formalize the network slicing problem as a multi-objective optimization problem that aims to maximize total profits and reliability of network slices. To tackle this problem, we propose a new multi-objective optimization approach that improves over the state-of-the-art algorithm, which can achieve good approximate Pareto front results balancing total profits and reliability of network slices. The performance of our proposed method is evaluated on both artificial and real-world network topologies. Experimental results demonstrate the superior performance of our proposed method compared to the baseline algorithm, outperforming the latter in 92% of instances in terms of the Hypervolume (HV) metric. © 2024 IEEE.

关键词： Optimization algorithms

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Motion Characteristics of a Novel Capsule Robot for Sampling Gastric Juice Based on Origami 24th

Motion Characteristics of a Novel Capsule Robot for Sampling...

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24th IFToMM China International Conference on Mechanism and Machine science and engineering, IFToMM CCMMS 2024

作者： Huang, Long Tang, Lingling He, Changyan Yin, Lairong Chen, Gengbiao School of Automotive and Mechanical Engineering Changsha University of Science and Technology Changsha 410114 China Hunan Provincial Key Laboratory of Safety Design and Reliability Technology for Engineering Vehicle Changsha University of Science and Technology Changsha 410114 China The University of Newcastle Callaghan 2308 NSW Australia

ISBN: (纸本)9789819614639

For many medical applications, it is necessary to sample and test the internal environment nondestructively, such as sampling the gastric juice and evaluating the intestinal microbiome. In this paper, we propose a novel soft capsule robot for sampling gastric juice based on rigid origami, which can be opened through magnetic actuation. The application of the origami pattern in the capsule robot reduces deformation and stress at each compliant joint when the capsule robot undergoes configuration transformation. Then we conduct kinematic analysis of the capsule-shape origami pattern, and verified that the origami pattern is a rigid-foldable 1-DOF origami pattern. Finally, through the preliminary experiment on the robot prototype, we verified the ability of the proposed robot for the required sampling task. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Capsule robot Gastric juice Kinematics Rigid origami

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Poisson's ratios and S-wave velocities of the Xishancun landslide,Sichuan,China,inferred from high-frequency receiver functions of local earthquakes

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science China Earth sciences 2021年第7期64卷 1195-1206页

作者： Zigen WEI Risheng CHU Zhiwei LI Minhan SHENG Qiu ZENG Slate Key Laboratory of Geodesy and Earth's Dynamics Innovation Academy for Precision Measurement Science and TechnologyChinese Academy of SciencesWuhan 430077China Science and Technology on Reliability and Environmental Engineering Laboratory Beijing Institute of Spacecraft Environment EngineeringBeijing 100094China

Landslides are recurrent geological phenomena on Earth that cause heavy casualties and property losses *** this study,we use the V_(p)-k stacking and nonlinear waveform inversion methods of high-frequency receiver functions extracted from local earthquakes,to sequentially invert Poisson’s ratios and S-wave velocities of the Quaternary Xishancun landslide,which is composed of three segments,i.e.,h1,h2,and h3 from bottom to *** results show that Poisson’s ratio values are generally higher than 0.33 and that the S-wave velocities vary from 0.1 to 0.9 km s^(-1).High Poisson’s ratios(>0.44)are mainly distributed in the juncture regions between different segments,as well as the western edge of *** zones show significant variation in landslide thickness and are potentially hazardous *** velocities of 0.05–0.2 km s^(-1)with thicknesses of 10–30m are widely observed in the lower layer of the *** high Poisson’s ratios and low-velocity layer may be related to water-rich materials in these *** study suggests that the high-frequency receiver functions from local earthquakes can be used to delineate geotechnical structures,which is valuable for landslide stability analysis and hazard mitigation.

关键词： Xishancun landslide High-frequency receiver functions High Poisson's ratio Low S-wave velocity Landslide stability and hazard mitigation

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From vision to safety: Trends and challenges in color safety research in urban transportation

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Scientia Sinica Technologica 2025年第1期55卷 33-50页

作者： Hu, Lin Wang, ZhiPeng Huang, Jing Yan, RuiZhe Wu, Ning Li, JuanJuan College of Automobile and Mechanical Engineering Changsha University of Science and Technology Changsha410114 China Hunan Provincial Key Laboratory of Lightweight and Reliability Technology for Engineering Vehicles Changsha University of Science and Technology Changsha410114 China College of Mechanical and Transportation Engineering Hunan University Changsha410082 China Ruhr-Universität Bochum Nordrhein-Westfalen44780 Germany College of Design and Art Changsha University of Science and Technology Changsha410114 China

With the increasing awareness of aesthetics and safety, the influence of color in traffic has attracted considerable attention. This paper reviews and summarizes research on traffic color safety and proposes future research directions. By collecting and analyzing relevant literature, this paper summarizes 196 articles related to traffic color safety. In these studies, we identify the research hotspots and trends in the field of traffic color safety. The results of the cooccurrence network analysis show that China and the United States lead in traffic color safety research and cooperation. Their diverse forms of cooperation may make the results more general. As perception and decision-making behavior are generally influenced by color, researchers focus more attention on the visibility and visual salience of color. The results of the modeling analysis indicate that the influence of color on traffic safety is largely limited by the research methodology and research objectives. Studies using questionnaires and real experiments may tend to show that color is influential, whereas studies using data analysis and simulations may show that it is not. Color is more likely to have a significant effect when the studies target the built environment and traffic signs. By contrast, color may not have a significant effect when the studies target vehicle color or visibility aids. This study provides theoretical support and new ideas to further explore the field of traffic color safety, which is important for transportation planning and design. © 2025 science Press. All rights reserved.

关键词： Traffic signs

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Fault Diagnosis of Unmanned Aerial Vehicle Based on the Slime Mold Algorithm under Imbalanced Data Conditions

Fault Diagnosis of Unmanned Aerial Vehicle Based on the Slim...

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International Conference on reliability, Maintainability and Safety,ICRMS

作者： Xinman Wu Wenjin Zhang Yu Li Mingliang Suo Institute of Reliability Engineering National Key Laboratory of Science and Technology on Reliability and Environmental Engineering School of Reliability and Systems Engineering Beihang University Beijing

ISBN: (数字)9798350329988

ISBN: (纸本)9798350329995

With the rapid progress of technology, the application of unmanned aerial vehicles (UAVs) has become widespread in various civilian and military activities. The research on fault diagnosis during a flight is a critical step towards enhancing the safety of UAV systems. Swarm-inspired heuristic algorithms have attracted significant attention owing to their fast iteration speed and strong optimization capabilities. This paper proposes a UAV fault diagnosis method based on the slime mold algorithm (SMA) under the condition of imbalanced data, thus addressing the issue of low diagnostic accuracy caused by a significantly longer normal flight time compared to the fault flight time in UAV operations. Using a real-world dataset of UAV flight faults with multiple fault patterns, the proposed approach optimizes the parameters of the support vector machine through SMA, thereby improving the fault diagnosis performance during actual UAV flights.

关键词： Fault diagnosis Support vector machines Accuracy Heuristic algorithms Autonomous aerial vehicles Market research Data models Safety Particle swarm optimization Optimization

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Injury severity analysis of electric bike crashes in Changsha, Hunan Province: taking different lighting conditions into consideration

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Transportation Safety and Environment 2022年第3期4卷 43-54页

作者： Lin Hu Xiaotong Wu Xinting Hu Fang Wang Ning Wu School of Automotive and Mechanical Engineering Changsha University of Science and TechnologyChangsha 410114HunanChina Hunan Province Key Laboratory of Safety Design and Reliability Technology for Engineering Vehicle Changsha University of Science and TechnologyChangsha 410114HunanChina Institute for Traffic Engineering and Management Ruhr-University BochumD-44780 BochumGermany.

With the increasing use of electric bikes, electric bike crashes occur frequently. Analysing the influencing factors of electric bikecrashes is an effective way to reduce mortality and improve road safety. In this paper, spatial analysis is performed by geographicinformation system (GIS) to present the hot spots of electric bike crashes during daylight and darkness in Changsha, Hunan Province,China. Based on the Ordered Probit (OP) model, we studied the risk factors that led to different severities of electric bike *** results show that the main influencing variables include age, illegal behaviour, collision type and road factors. During daylightand darkness, elderly electric bike riders over the age of 65 years have a higher probability of fatal crashes. Not following trafficsignals and reverse driving are significantly related to the severity of riders’ injuries. In darkness, frontal collisions are significantfactors causing rider injury. In daylight, more serious crashes will be caused in bend and slope road segments. In darkness, roadswith no physically separated bicycle lanes increases the risk of riders being injured. Electric bike crashes are mainly concentratedin the commercial, public service and residential areas in the main urban area. In suburbs at darkness, electric bike riders are morelikely to be seriously injured. Adding protectionmeasures, such as improved lighting, non-motorized lane facilities and interventionstargeting illegal behaviour in the hot spot areas can effectively reduce the number of electric bike crashes in complex traffic.

关键词： Electric bike crash GIS Ordered Probit model daylight darkness

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