检索结果-内蒙古大学图书馆

14th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2024

作者： Qin, Yankai Shang, Chao Li, Xiangyu Zhang, Xiaohong Luo, Yuangeng Zhang, Miao CCTEG Taiyuan Research Institute Co Ltd Taiyuan China Shanxi Tiandi Coal Mining Machinery Co Ltd Taiyuan China Department of Automation Tsinghua University Beijing China School of Mechanical and Transportation Engineering Taiyuan University of Technology Taiyuan China Division of Industrial and System Engineering Taiyuan University of Science and Technology Taiyuan China

ISBN: (纸本)9781837242672

Multi-component replacement repairable systems refer to systems wherein all critical components are replaced in batches after a given production cycle, while defective parts are taken offline for maintenance before being reused as the system continues to operate. This paper focuses on multi-component replacement repairable systems composed of multiple identical components, defining a grouped replacement and offline condition-based maintenance strategy. The concept of maintenance degree is introduced to indicate the extent of maintenance on a component, and a model is constructed where maintenance effects, costs, and durations are determined by this degree of maintenance. By analyzing the state transition characteristics of the system operating under alternating conditions of operational and replacement components, a steady-state probability model of system degradation is derived. Considering factors such as maintenance time, cost, and effectiveness, an average cost rate model within a finite time frame is established to determine the optimal system replacement period, preventive maintenance thresholds, and degree of maintenance. The correctness and effectiveness of the strategy and model are verified using a seven-roll continuous hot-rolling system as a case study, along with an analysis of parameter sensitivity. © The Institution of Engineering & technology 2024.

关键词： Condition based maintenance

来源：评论

学校读者我要写书评

暂无评论

Towards Efficient Path Finding and Moving Stability-Focused Trajectory Planning for Mobile Robots

Towards Efficient Path Finding and Moving Stability-Focused ...

引用

2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024

作者： Hou, Muyang Lei, Zhenya Hu, Haidong Wang, Zhong Wang, Yong Xie, Le Wang, Hesheng Shanghai Jiao Tong University Department of Automation Shanghai200240 China School of Information and Control Engineering China University of Mining and Technology Xuzhou221116 China Beijing Institute of Control Engineering Beijing100190 China Institute of Medical Robotics Shanghai Jiao Tong University Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Department of Automation Shanghai200240 China

ISBN: (纸本)9781665481090

Nowadays, mobile robots play an important role in a variety of service scenarios. They need to plan and track trajectories to accomplish tasks such as delivery or guided tours. In such tasks, there are two remaining challenges: on one hand, the time and memory consumption of present path planners are still significant;on the other hand, service robots, which have a higher center of gravity, demand greater moving stability than that of current trajectory planners provide. To address these two challenges. Firstly, we propose a safety boundary first A∗ which fully utilizes environmental obstacle information to create a safety boundary and searches in it to quickly find an initial path. Secondly, we formulate the trajectory optimization problem as a nonlinear optimization problem, where the smoothness, safety, feasibility, and moving stability of the robot are taken into account. Furthermore, to constrain the robot's lateral acceleration, we design a time allocation algorithm based on non-uniform B-spline, enhancing the quality of the resulting trajectory. Simulations and real-world experiments demonstrate that our algorithms significantly improve path search efficiency, enhance moving stability, reduce the difficulty of tracking, and improve the quality of task completion. © 2024 IEEE.

关键词： Trajectories

来源：评论

学校读者我要写书评

暂无评论

A SINS Error Correction Approach Based on Dual-Threshold ZV Detection and Cubature Kalman Filter

A SINS Error Correction Approach Based on Dual-Threshold ZV ...

引用

2023 IEEE International Conference on systems, Man, and Cybernetics, SMC 2023

作者： Xu, Ruijie Chen, Shichao Sun, Wenqiao Lv, Yisheng Luo, Jialiang Tang, Ying Institute of Automation Chinese Academy of Sciences College of Information Science & Technology Beijing University of Chemical Technology The State Key Laboratory for Management and Control of Complex System State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing China Institute of Automation Chinese Academy of Sciences The Center of National Railway Intelligent Transportation System Engineering and Technology China Academy of Railway Sciences Corporation Limited The State Key Laboratory for Management and Control of Complex System State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing China Transportation and Economics Research Institute The Center of National Railway Intelligent Transportation System Engineering and Technology China Academy of Railway Sciences Corporation Limited Beijing China Institute of Automation Chinese Academy of Sciences The State Key Laboratory for Management and Control of Complex System State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing China Institute of Automation Chinese Academy of Sciences China University of Geosciences Beijing School of Information Engineering The State Key Laboratory for Management and Control of Complex System State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing China Rowan University Department of Electrical and Computer Engineering Glassboro United States

ISBN: (纸本)9798350337020

Global Navigation Satellite systems (GNSS) can provide real-time positioning information for outdoor users, but cannot for indoor scenarios or heavily occluded outdoor scenarios. Strap-down Inertial Navigation system (SINS) are widely used to locate people in complex interior or heavily occluded outdoor scenarios due to its light weight and low power consumption. However, IMU of SINS are noisy, and the sampling data error is large, which is a divergence of the error with time. Therefore, it will generate a positioning accumulation error, which affects the final positioning accuracy. The problem of cumulative IMU errors is usually dealt with by Zero-Velocity Update (ZUPT). The zero-velocity detection part of basic ZUPT method usually uses a single threshold to determine the gait of pedestrian, which often has the problem of gait misjudgment and omission. To address these problems, this paper proposes a composite conditional detection method to solve the problem of misjudgment in the zero-velocity interval. In addition, we redesign the zero-velocity update algorithm and uses the Cubature Kalman filter (CKF) for pedestrian positioning error correction. The experimental results demonstrate that the proposed ZUPT method based on dual-threshold detection can better detect the interval between pedestrian motion and stationery than ones with single threshold. The zero-velocity update algorithm based on CKF has higher performance than conventional EKF and UKF methods, which constrains the cumulative error of SINS to about 0.2% of the whole walking distance. © 2023 IEEE.

关键词： Cubature Kalman Filter Inertial Pedestrian Navigation Zero-Velocity Update

来源：评论

学校读者我要写书评

暂无评论

Data envelopment analysis to determine reliability targets for power distribution systems

引用

Applied Energy 2025年 394卷

作者： Moghimy Fam, Amin Safdarian, Amir Fotuhi-Firuzabad, Mahmud Lehtonen, Matti Pourakbari-Kasmaei, Mahdi Department of Electrical Engineering and Automation Aalto University Maarintie 8 Uusimaa Espoo02150 Finland Centre of Excellence in Power System Control and Management Electrical Engineering Department Sharif University of Technology Tehran Iran

Distribution system (DS) reliability has the greatest impact on customer service availability. Enhancing the reliability level of a DS is a costly task, thus, determining an efficient and economical target levels for reliability indices is of high importance. To achieve this goal, this paper proposes a comprehensive Data Envelopment Analysis (DEA) based method (DBM). DBM integrates the effect of technical factors in the target determination process for the level of reliability indices in addition to including the conventional average method as one of its steps. By introducing a reliability–cost curve, DBM becomes capable of setting reliability targets based on the practical effect of investment in the system. Furthermore, this feature enables the estimation of the additional investment required to meet the targets. The results indicate the superiority of the proposed method in comparison with the conventional average method from the economic aspect and show the value of integrating the technical factors into it. The determined reliability targets are at least 2.85 % more cost-efficient and technically sounder for the feeders with a high value of reliability. The proposed method, due to its general features, can be applied in the benchmarking of other engineering systems where similar units are being operated and a relation between the unit's inputs and outputs can be established. © 2025 The Authors

关键词： Data envelopment analysis

来源：评论

学校读者我要写书评

暂无评论

FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models 38

FIRE: A Dataset for Feedback Integration and Refinement Eval...

引用

38th Conference on Neural Information Processing systems, NeurIPS 2024

作者： Li, Pengxiang Gao, Zhi Zhang, Bofei Yuan, Tao Wu, Yuwei Harandi, Mehrtash Jia, Yunde Zhu, Song-Chun Li, Qing Beijing Key Laboratory of Intelligent Information Technology School of Computer Science & Technology Beijing Institute of Technology China State Key Laboratory of General Artificial Intelligence BIGAI China State Key Laboratory of General Artificial Intelligence Peking University China Department of Electrical and Computer System Engineering Monash University Australia Guangdong Laboratory of Machine Perception and Intelligent Computing Shenzhen MSU-BIT University China Department of Automation Tsinghua University China

Vision language models (VLMs) have achieved impressive progress in diverse applications, becoming a prevalent research direction. In this paper, we build FIRE, a feedback-refinement dataset, consisting of 1.1M multi-turn conversations that are derived from 27 source datasets, empowering VLMs to spontaneously refine their responses based on user feedback across diverse tasks. To scale up the data collection, FIRE is collected in two components: FIRE-100K and FIRE-1M, where FIRE-100K is generated by GPT-4V, and FIRE-1M is freely generated via models trained on FIRE-100K. Then, we build FIRE-Bench, a benchmark to comprehensively evaluate the feedback-refining capability of VLMs, which contains 11K feedback-refinement conversations as the test data, two evaluation settings, and a model to provide feedback for VLMs. We develop the FIRE-LLaVA model by fine-tuning LLaVA on FIRE-100K and FIRE-1M, which shows remarkable feedback-refining capability on FIRE-Bench and outperforms untrained VLMs by 50%, making more efficient user-agent interactions and underscoring the significance of the FIRE dataset. © 2024 Neural information processing systems foundation. All rights reserved.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Depression Scale Dictionary Decomposition Framework for Multimodal Automatic Depression Level Prediction

引用

IEEE Transactions on Circuits and systems for Video technology 2025年第6期35卷 6195-6210页

作者： Niu, Mingyue Wang, Xu Gong, Jibing Liu, Bin Tao, Jianhua Schuller, Bjorn W. Yanshan University School of Information Science and Engineering Hebei province Qinhuangdao066004 China Hebei Key Laboratory of Computer Virtual Technology and System Integration China Technology Co. Ltd Bejing100022 China Bejing100190 China Tsinghua University Department of Automation Bejing100190 China University of Chinese Academy of Sciences School of Artificial Intelligence Beijing100049 China University of Augsburg ZD.B. Chair of Embedded Intelligence for Health Care and Wellbeing Augsburg Germany Glam - Group on Language Audio and Music United Kingdom

Currently, many researchers aim to achieve automatic depression level prediction via speech and video behavior analysis. However, previous works have struggled to decompose audio and video sequences into the information related to and unrelated to depression scores, hindering the model's perception of depression cues. Besides, previous works implement multimodal fusion using attention mechanisms or linear layers, but failed to simultaneously consider the Euclidean relationship among tokens and the non-Euclidean relationship among channels, which bring limitations in capturing depression cues. In response to the above issues, we propose a depression scale dictionary decomposition framework, which mainly includes a Bidirectional Dictionary Decomposition (BDD) module and a Bidirectional Multimodal Fusion (BMF) module. The BDD module can use the dictionaries generated based on the depression scale to semantically decompose audio and video sequences into the information related to and unrelated to depression scores along token and channel dimensions for promoting depression cue perception. Moreover, considering the respective characteristics of tokens and channels, the BMF module uses linear layers and graph convolution to achieve cross-modal mixing, which is used to aggregate audio and video sequences for predicting depression levels. The validation on AVEC 2013, AVEC 2014 and DAIC-WOZ datasets demonstrates our method's superiority. © 1991-2012 IEEE.

关键词： Boolean functions

来源：评论

学校读者我要写书评

暂无评论

On the Foundation of Blade Tip Timing Measurement: Necessary and Sufficient Sampling for Aliasing-Free Sensing 5

On the Foundation of Blade Tip Timing Measurement: Necessary...

引用

5th International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2024

作者： Cao, Jiahui He, Changbo Yang, Zhibo Li, Wenbo Wu, Shuming Chen, Xuefeng Xi'an Jiaotong University National Key Lab of Aerospace Power System and Plasma Technology Xi'an China School of Electrical Engineering and Automation Anhui University Hefei China Texas A&m University J. Mike Walker '66 Department of Mechanical Engineering College Station United States

ISBN: (纸本)9798331529192

Blade tip timing (BTT) is a promising vibration measurement for rotating blades owing to its non-contact feature, high measurement efficiency, and long service life. However, due to the measurement principle and installation restrictions, BTT signal is severely undersampled and thus hinders subsequent signal processing. Although many BTT analysis methods have sprung up like mushrooms, the performance of parameter identification or spectral analysis heavily depends on the probe layout and there is a lack of an intuitive and fundamental theory for BTT measurement. In this paper, we propose the necessary and sufficient sampling conditions for BTT measurement based on our previous delay sampling theorem, which provides fundamental insights for BTT measurement. By reviewing the existing BTT analysis methods, we demonstrate the correctness of the proposed theory. Finally, the high consistency between the theoretical inferences and simulation results verifies the correctness of the proposed theory. © 2024 IEEE.

关键词： Vibration measurement

来源：评论

学校读者我要写书评

暂无评论

Haptic-Based Bilateral Teleoperation of Aerial Manipulator for Extracting Wedged Object with Compensation of Human Reaction Time

Haptic-Based Bilateral Teleoperation of Aerial Manipulator f...

引用

International Conference on Unmanned Aircraft systems (ICUAS)

作者： Jeonghyun Byun Dohyun Eom H. Jin Kim Department of Aerospace Engineering Automation and System Research Institute(ASRI) and Institute of Advanced Aerospace Technology(IAAT) Seoul National University Seoul South Korea

ISBN: (数字)9798350357882

ISBN: (纸本)9798350357899

Bilateral teleoperation of an aerial manipulator facilitates the execution of industrial missions thanks to the combination of the aerial platform's maneuverability and the ability to conduct complex tasks with human supervision. Heretofore, research on such operations has focused on flying without any physical interaction or exerting a pushing force on a contact surface that does not involve abrupt changes in the interaction force. In this paper, we propose a human reaction time compensating haptic-based bilateral teleoperation strategy for an aerial manipulator extracting a wedged object from a static structure (i.e., plug-pulling), which incurs an abrupt decrease in the interaction force and causes additional difficulty for an aerial platform. A haptic device composed of a 4-degree-of-freedom robotic arm and a gripper is made for the teleoperation of aerial wedged object-extracting tasks, and a haptic-based teleoperation method to execute the aerial manipulator by the haptic device is introduced. We detect the extraction of the object by the estimation of the external force exerted on the aerial manipulator and generate reference trajectories for both the aerial manipulator and the haptic device after the extraction. As an example of the extraction of a wedged object, we conduct comparative plug-pulling experiments with a quadrotor-based aerial manipulator. The results validate that the proposed bilateral teleoperation method reduces the overshoot in the aerial manipulator's position and ensures fast recovery to its initial position after extracting the wedged object.

关键词： Visualization Heuristic algorithms Force Tactile sensors Predictive models Manipulators Haptic interfaces

来源：评论

学校读者我要写书评

暂无评论

Large-Scale Data Center Cooling Control via Sample-Efficient Reinforcement Learning

Large-Scale Data Center Cooling Control via Sample-Efficient...

引用

IEEE International Conference on automation Science and Engineering (CASE)

作者： Ni Mu Xiao Hu Qing-Shan Jia Xu Zhu Xiao He Department of Automation Center for Intelligent and Networked System (CFINS) Tsinghua University Beijing China China Information Technology Designing & Consulting Institute Beijing China

ISBN: (数字)9798350358513

ISBN: (纸本)9798350358520

Cooling control in large-scale data centers (DCs) aims to minimize energy consumption, while maintaining suitable temperatures for IT equipment. In the multi-ACU joint control problem, the high dimensionality of the state and action space, along with time-costly simulation, make traditional control methods inefficient in obtaining the optimal policy. We propose a novel reinforcement learning (RL) framework, which first leverages a surrogate model to train a base RL policy, and then fine-tunes the base policy. Specifically, the use of the surrogate model can exponentially reduce the action space dimension, by treating all ACUs in the room as identical, and interpolating the state space based on physical mechanism. After the base policy for single-ACU control is derived from the surrogate model, we fine-tune it on each individual ACU, using Soft Actor-Critic (SAC) algorithm with balanced replay. The balanced replay technique mitigates the off-policy bootstrapping errors caused by inaccurate value estimation, while enabling efficient Q-value updating. Simulation results demonstrate that our framework significantly improves energy savings and temperature stability for large-scale DC cooling control, while requiring much fewer data samples, compared to existing state-of-the-art methods.

关键词： Temperature distribution Data centers Cooling Simulation Scalability Energy conservation Reinforcement learning Aerospace electronics Stability analysis Thermal stability

来源：评论

学校读者我要写书评

暂无评论

Resilient Distributed Parameter Estimation in Sensor Networks

arXiv

引用

arXiv 2023年

作者： Yan, Jiaqi Li, Kuo Ishii, Hideaki The Department of Computer Science Tokyo Institute of Technology Japan The Center for Intelligent and Networked System Department of Automation BNRist Tsinghua University China

In this paper, we study the problem of parameter estimation in a sensor network, where the measurements and updates of some sensors might be arbitrarily manipulated by adversaries. Despite the presence of such misbehaviors, normally behaving sensors make successive observations of an unknown d-dimensional vector parameter and aim to infer its true value by cooperating with their neighbors over a directed communication graph. To this end, by leveraging the so-called dynamic regressor extension and mixing procedure, we transform the problem of estimating the vector parameter to that of estimating d scalar ones. For each of the scalar problem, we propose a resilient combine-then-adapt diffusion algorithm, where each normal sensor performs a resilient combination to discard the suspicious estimates in its neighborhood and to fuse the remaining values, alongside an adaptation step to process its streaming observations. With a low computational cost, this estimator guarantees that each normal sensor exponentially infers the true parameter even if some of them are not sufficiently excited. © 2023, CC BY.

关键词： Sensor networks

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：