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Residual Life Prediction of Rolling Bearings Based on Transformer-BiGRU-Attention Model with Improved Sparrow Optimization Algorithm 1

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TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

作者： An, Xunmeng Zhang, Chao Liu, Caiye Liu, Guiyi Hao, Jinzhang College of Mechanical Engineering Inner Mongolia University of Science and Technology Baotou014010 China Inner Mongolia Autonomous Region Key Laboratory of Intelligent Diagnosis and Control of Electromechanical Systems Baotou014010 China

ISBN: (数字)9783031694837

ISBN: (纸本)9783031694820

Remaining useful life (RUL) prediction is one of the core problems of PHM, and the traditional deep learning method has low accuracy in predicting the remaining useful life of rolling bearings. A hybrid deep learning model of Transformer-BiGRU-Attention based on improved sparrow optimization algorithm is proposed for rolling bearing remaining useful life prediction. The current sparrow optimization algorithm has the problems of slow convergence, lack of robustness and falling into local optimum. Therefore, an enhanced version of the sparrow search algorithm, termed the Chaotic Mapping-Sparrow Search Algorithm (CSSA), is introduced. The utilization of chaotic cube mapping for initializing the population enhances the quality and diversity of distribution within the population. This approach effectively prevents the algorithm from getting trapped in local optima and optimizes both the speed of convergence and the accuracy of the solutions. Tests on RUL prediction of rolling bearings show that the proposed method can more accurately achieve the RUL prediction of bearings under variable operating conditions, and the accuracy of RUL prediction results is higher than that of current methods. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Mapping

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Research on Rolling Bearing Fault Diagnosis Method of Fuzzy Broad Learning System Based on Genetic Algorithm Optimization 1

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TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

作者： Wu, Le Zhang, Chao Fei, Hongbo Qin, Feifan Liu, Guiyi Xu, Shuai Ouyang, Bing Wu, Yangbiao Zhang, Jing School of Mechanical Engineering Inner Mongolia University of Science and Technology Baotou014010 China Key Laboratory of Intelligent Diagnosis and Control of Electromechanical Systems in Inner Mongolia Autonomous Region Baotou014010 China

ISBN: (数字)9783031694837

ISBN: (纸本)9783031694820

The most common motor fault is the failure of bearing, and the traditional fault diagnosis method requires manual extraction of features, which has high uncertainty and complexity. In this paper, a motor bearing fault diagnosis method based on Gramian angular field image coding and CNN-SVM is proposed, which has three stages, firstly, the original bearing vibration signal is converted into a two-dimensional scale diagram by using Gramian angular field image coding. Second, next, an enhanced CNN model is employed to quickly and accurately identify the elements of the converted image. Finally, SVM are used as final classifiers to further improve the accuracy and speed of fault classification. In the experimental design, the model was verified and analyzed several times by using the bearing fault dataset of Case Western Reserve University, which verified the feasibility and superiority of the method and provided a theoretical basis for guiding bearing maintenance decisions. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Image coding

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Dynamic Modeling of Rolling Bearing Outer Ring Failure with Time-Varying Excitation Under Contact Deformation

Dynamic Modeling of Rolling Bearing Outer Ring Failure with ...

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UNIfied Conference of International Workshop on Defence Applications of Multi-Agent systems, DAMAS 2023, International Conference on Maintenance Engineering, IncoME-V 2023, International conference on the Efficiency and Performance Engineering network, TEPEN 2023

作者： Wu, Yangbiao Zhang, Chao Wang, Jianguo Xu, Shuai School of Mechanical Engineering Inner Mongolia University of Science and Technology Baotou014010 China Key Laboratory of Intelligent Diagnosis and Control of Electromechanical Systems in Inner Mongolia Autonomous Region Baotou014010 China

ISBN: (纸本)9783031494123

Dynamic modeling of rolling bearing fault is an important method in fault mechanism research. However, existing dynamic models only consider the influence of fault size and bearing speed on the instantaneous impact force, failing to fully reflect the actual contact conditions. To address this, this paper introduces the influence of contact deformation on the instantaneous impact force based on the existing dynamic model. At the same time, focusing on the outer ring fault of the bearing, a transient impact force excitation function considering contact deformation is proposed. The dynamic model of a deep groove ball bearing's outer ring fault is established based on the Hertz contact theory. Finally, the effectiveness of the proposed model is verified through simulations and comparative experiments. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Dynamic models

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Design and implementation of UAS interoperability based on different protocols 8

Design and implementation of UAS interoperability based on d...

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8th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, ISAEECE 2023

作者： Ye, Zhengan Pei, Hailong Cheng, Zihuan Key Laboratory of Autonomous Systems and Networked Control Ministry of Education Unmanned Aerial Vehicle Systems Engineering Technology Research Center of Guangdong South China University of Technology Guangzhou510640 China

ISBN: (纸本)9781510666290

Different unmanned aerial vehicles teams often work independently, leaving a "stove-piped" isolation problem, and the cost of collaboration among them is relatively high. Interoperability has been proposed to study the ability of unmanned aerial systems in working together, of which smooth communication is the fundamental requirement. To construct communication ability of different systems, the protocols they support should be essentially concerned. A novel, lightweight and flexible protocol, named as LAB protocol, is developed in this paper, where we study it and STANAG 4586 and MAVLink for comparision. We propose a bridging method to break isolation and verify interoperability among UASs using different protocols through experiments. © 2023 SPIE. All rights reserved.

关键词： Interoperability

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Research on Surface Defect Detection Technology of Railway Tracks Based on Image Processing

Research on Surface Defect Detection Technology of Railway T...

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作者： Liu, Guiyi Zhang, Chao Wang, Jianguo Chi, Yuliang Xu, Shuai School of Mechanical Engineering Inner Mongolia University of Science and Technology Baotou014000 China Key Laboratory of Intelligent Diagnosis and Control of Electromechanical Systems in Inner Mongolia Autonomous Region Baotou014000 China

ISBN: (纸本)9783031494123

Railroad transportation is an essential component of national economic development, providing crucial support for safe and efficient transportation. The quality of rail infrastructure directly impacts the efficiency and safety of train operation. Therefore, the timely and accurate detection of rail surface defects is a critical element of railroad operation and safety management. This paper examines the technology of railroad track surface detection and proposes a novel defect detection method based on image processing. The proposed method utilizes a high-resolution digital camera to capture images of the rail surface and eliminates noise and lighting effects using pre-processing techniques. Next, a feature extraction algorithm is employed to extract the features of rail surface defects, and is used to classify and identify them. Experimental results demonstrate that the proposed method accurately detects various defects on the rail surface. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Surface defects

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An intelligent matching method for the equivalent circuit of electrochemical impedance spectroscopy based on Random Forest

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材料科学技术（英文版） 2025年第6期209卷 300-310页

作者： Wenbo Chen Bingjun Yan Aidong Xu Xin Mu Xiufang Zhou Maowei Jiang Changgang Wang Rui Li Jie Huang Junhua Dong Key Laboratory of Networked Control Systems Chinese Academy of SciencesShenyang 110169China Shenyang Institute of Automation Chinese Academy of SciencesShenyang 110169China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of SciencesShenyang 110169China University of Chinese Academy of Sciences Beijing 100049China Key Laboratory of Networked Control Systems Chinese Academy of SciencesShenyang 110169China Shenyang Institute of Automation Chinese Academy of SciencesShenyang 110169China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of SciencesShenyang 110169China Shenyang National Laboratory for Materials Science Institute of Metal ResearchChinese Academy of SciencesShenyang 110016China General Research Institute China Oil & Gas Pipeline Network CorporationLangfang 065000China

One of the core works of analyzing Electrochemical Impedance Spectroscopy(EIS)data is to select an appropriate equivalent circuit model to quantify the parameters of the electrochemical reaction ***,this process often relies on human experience and judgment,which will introduce subjectivity and *** this paper,an intelligent approach is proposed for matching EIS data to their equivalent circuits based on the Random Forest *** can automatically select the most suitable equivalent circuit model based on the characteristics and patterns of EIS *** the typical scenario of metal corrosion,an atmospheric corrosion EIS dataset of low-carbon steel is constructed in this paper,which includes five different corrosion *** dataset was used to validate and evaluate the pro-posed method in this *** contributions of this paper can be summarized in three aspects:(1)This paper proposes a method for selecting equivalent circuit models for EIS data based on the Random Forest algorithm.(2)Using authentic EIS data collected from metal atmospheric corrosion,the paper es-tablishes a dataset encompassing five categories of metal corrosion scenarios.(3)The superiority of the proposed method is validated through the utilization of the established authentic EIS *** ex-periment results demonstrate that,in terms of equivalent circuit matching,this method surpasses other machine learning algorithms in both precision and ***,it shows strong applicability in the analysis of EIS data.

关键词： Electrochemical impedance spectroscopy Random forest Corrosion Equivalent circuit model

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Semantic Coherence Guided Multiview Similarity for Image Classification with Varied Supervision

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第6期5卷 3072-3082页

作者： Zhang, Chunjie Cao, Ping Bai, Huihui Zheng, Xiaolong Beijing Jiaotong University Institute of Information Science Beijing100044 China Beijing Jiaotong University Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing100044 China University of Chinese Academy of Sciences State Key Laboratory of Multimodal Artificial Intelligence Systems The State of Key Laboratory of Management and Control for Complex System Institute of Automation Beijing100190 China University of Chinese Academy of Sciences School of Artificial Intelligence Beijing100190 China

Pairwise similarity has been widely used for image classification by propagating the class information from labeled images to unlabeled images and predicting the classes of unlabeled images accordingly. Although widely used, pairwise similarity based classification methods have two drawbacks. On one hand, visual-semantic similarity consistency does not always hold due to semantic gap. On the other hand, the reliability of pairwise similarity is also influenced by the number and underlying distribution of labeled images. A well-designed classification model cannot be easily generalized to few-shot classification tasks. To solve these two problems, in this article, we propose a semantic coherence guided multiview similarity (SCG-MV) for image classification method with varied supervision levels. We measure the semantic coherence between image pairs for classifier learning. This is achieved by first conducting line search along the line segment between each image pair, and then measure the semantics of each interval. The similarity of one image pair can then be obtained by aggregating the semantic coherence of all the intervals. In this way, we can model image similarities more finely and discriminatively. To make use of multiview information, we also use the semantic coherence guided image similarities to learn multiview classifiers. The proposed semantic coherence guided method can be combined with other similarity based methods for image classification with various levels of supervision. We conduct both few-shot and fully supervised classification experiments on four datasets with the results well prove the discriminative power and generalization ability of the proposed method. © 2020 IEEE.

关键词： Semantics

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A practical PID variable stiffness control and its enhancement for compliant force-tracking interactions with unknown environments

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Science China(Technological Sciences) 2023年第10期66卷 2882-2896页

作者： ZHANG Xin ZHOU Hao LIU JinGuo JU ZhaoJie LENG YuQuan YANG ChenGuang State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyang 110016China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of SciencesShenyang 110169China University of Chinese Academy of Sciences Beijing 100049China School of Computing University of PortsmouthPortsmouth PO13HEUK Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems Department of Mechanical and Energy EngineeringSouthern University of Science and TechnologyShenzhen 518055China Key Laboratory of Autonomous Systems and Networked Control College of Automation Science and EngineeringSouth China University of TechnologyGuangzhou 510640China

Compliant interaction control is a key technology for robots performing contact-rich manipulation *** design of the compliant controller needs to consider the robot hardware because complex control algorithms may not be compatible with the hardware performance,especially for some industrial robots with low bandwidth *** paper focuses on effective and easy-to-use compliant control algorithms for position/velocity-controlled *** by human arm stiffness adaptation behavior,a novel variable target stiffness(NVTS)admittance control strategy is proposed for adaptive force tracking,in which a proportional integral derivative(PID)variable stiffness law is designed to update the stiffness coefficient of the admittance function by the force and position ***,its stability and force-tracking capability are theoretically *** addition,an impact compensator(Impc)is integrated into the NVTS controller to enhance its disturbance-suppression capability when the robot is subjected to strong vibration disturbances in complicated surface polishing *** proposed controllers are validated through four groups of experimental tests using different robots and the corresponding results demonstrate that they have high-accuracy tracking capability and strong adaptability in unknown environments.

关键词： compliant interaction control force tracking PID variable stiffness impact compensator unknown environments

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Early Predictor for the Onset of Critical Transitions in networked Dynamical systems

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Physical Review X 2024年第3期14卷 031009-031009页

作者： Zijia Liu Xiaozhu Zhang Xiaolei Ru Ting-Ting Gao Jack Murdoch Moore Gang Yan MOE Key Laboratory of Advanced Micro-Structured Materials and School of Physical Science and Engineering National Key Laboratory of Autonomous Intelligent Unmanned Systems and MOE Frontiers Science Center for Intelligent Autonomous Systems Chair for Network Dynamics Center for Advancing Electronics Dresden (cfaed) and Institute for Theoretical Physics

Numerous natural and human-made systems exhibit critical transitions whereby slow changes in environmental conditions spark abrupt shifts to a qualitatively distinct state. These shifts very often entail severe consequences; therefore, it is imperative to devise robust and informative approaches for anticipating the onset of critical transitions. Real-world complex systems can comprise hundreds or thousands of interacting entities, and implementing prevention or management strategies for critical transitions requires knowledge of the exact condition in which they will manifest. However, most research so far has focused on low-dimensional systems and small networks containing fewer than ten nodes or has not provided an estimate of the location where the transition will occur. We address these weaknesses by developing a deep-learning framework which can predict the specific location where critical transitions happen in networked systems with size up to hundreds of nodes. These predictions do not rely on the network topology, the edge weights, or the knowledge of system dynamics. We validate the effectiveness of our machine-learning-based framework by considering a diverse selection of systems representing both smooth (second-order) and explosive (first-order) transitions: the synchronization transition in coupled Kuramoto oscillators; the sharp decline in the resource biomass present in an ecosystem; and the abrupt collapse of a Wilson-Cowan neuronal system. We show that our method provides accurate predictions for the onset of critical transitions well in advance of their occurrences, is robust to noise and transient data, and relies only on observations of a small fraction of nodes. Finally, we demonstrate the applicability of our approach to real-world systems by considering empirical vegetated ecosystems in Africa.

关键词： Bifurcations network phase transitions Artificial neural networks Time series analysis

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The Stability with Time Delays in Cacc System and Reconstitution Information of Vehiclescompensating Delays Based on Bi-Lstm

SSRN

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SSRN 2024年

作者： Zhang, Chenmin Liu, Yonggui Li, Zeming Key Laboratory of Autonomous Systems and Network Control Ministry of Education School of Automation Science and Engineering South China University of Technology Guangzhou510641 China

The communication delays have an impact on Cooperative Adaptive Cruise control (CACC) of vehicle platoon systems, since thepreceding and following vehicle information is utilized through vehicular Ad Hoc networks. In this paper a three-order vehicleplatoon system using distributed control protocols with communication delays is designed using leading and neighboring vehicleinformation. The sufficient necessary conditions for local stability and string stability are derived based on the Hurwitz stabilitycriterion and the frequency domain method without time delays, in which the thresholds of the controller gains and their relationshipis revealed. For the vehicle platoon systems with time delays, the upper bounds of the time delays satisfying the local stability andstring stability are given based on the method of Laplace transform. Aiming to the communication delays varied, which havegreatly influence on the control performance of vehicle systems, the Bidirectional Long Short Term Memory (Bi-LSTM) model isproposed to predict the acceleration of the leading vehicle to reconstitution for the communication delays, and the algorithm hashigher accuracy and relevance by comparing the acceleration prediction method based on LSTM and the KF method. Based on thesimulation method of compensating communication delay based on Bi-LSTM model, it is obtained that the CACC vehicle systemcan still maintain local stability and string stability under infinite time delay. © 2024, The Authors. All rights reserved.

关键词： Time delay

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