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SEFormer:A Lightweight CNN-Transformer Based on Separable Multiscale Depthwise Convolution and Efficient Self-Attention for Rotating Machinery Fault Diagnosis

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Computers, Materials & Continua 2025年第1期82卷 1417-1437页

作者： Hongxing Wang Xilai Ju Hua Zhu Huafeng Li State Key Laboratory of Mechanics and Control for Aerospace Structures Nanjing University of Aeronautics and AstronauticsNanjing210016China School of Computer Science and Engineering Nanyang Technological UniversitySingapore639798Singapore

Traditional data-driven fault diagnosis methods depend on expert experience to manually extract effective fault features of signals,which has certain ***,deep learning techniques have gained prominence as a central focus of research in the field of fault diagnosis by strong fault feature extraction ability and end-to-end fault diagnosis ***,utilizing the respective advantages of convolution neural network(CNN)and Transformer in local and global feature extraction,research on cooperating the two have demonstrated promise in the field of fault ***,the cross-channel convolution mechanism in CNN and the self-attention calculations in Transformer contribute to excessive complexity in the cooperative *** complexity results in high computational costs and limited industrial *** tackle the above challenges,this paper proposes a lightweight CNN-Transformer named as SEFormer for rotating machinery fault ***,a separable multiscale depthwise convolution block is designed to extract and integrate multiscale feature information from different channel dimensions of vibration ***,an efficient self-attention block is developed to capture critical fine-grained features of the signal from a global ***,experimental results on the planetary gearbox dataset and themotor roller bearing dataset prove that the proposed framework can balance the advantages of robustness,generalization and lightweight compared to recent state-of-the-art fault diagnosis models based on CNN and *** study presents a feasible strategy for developing a lightweight rotating machinery fault diagnosis framework aimed at economical deployment.

关键词： CNN-Transformer separable multiscale depthwise convolution efficient self-attention fault diagnosis

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Micro-nano-fabrication of green functional materials by multiphase microfluidics for environmental and energy applications

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Green Energy & Environment 2024年第8期9卷 1199-1219页

作者： Cheng Qi Tao Zhou Xingjiang Wu Kailang Liu Lei Li Zhou Liu Zhuo Chen Jianhong Xu Tiantian Kong Guangdong Provincial Key Laboratory of Micro/Nano Optomechatronics Engineering College of Mechatronics and Control EngineeringShenzhen UniversityShenzhenGuangdong518000China The State Key Laboratory of Chemical Engineering Department of Chemical EngineeringTsinghua UniversityBeijing100084China College of Chemistry and Environmental Engineering Shenzhen UniversityShenzhenGuangdong518000China Department of Biomedical Engineering School of MedicineShenzhen UniversityShenzhenGuangdong518000China

Multiphase microfluidic has emerged as a powerful platform to produce novel materials with tailor-designed functionalities,as microfluidic fabrication provides precise controls over the size,component,and structure of resultant ***,functional materials with well-defined micro-/nanostructures fabricated by microfluidics find important applications as environmental and energy *** review first illustrated in detail how different structures or shapes of droplet and jet templates are formed by typical configurations of microfluidic channel networks and multiphase flow ***,recent progresses on several representative energy and environmental applications,such as water purification,water collecting and energy storage,were ***,it is envisioned that integrating microfluidics and other novel materials will play increasing important role in contributing environmental remediation and energy storage in near future.

关键词： Microfluidics Multi-phase flow Droplet and microfiber Environmental remediation Energy Storage

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Recent advancements of nonlinear dynamics in mode coupled microresonators:a review

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Applied Mathematics and Mechanics(English Edition) 2025年第2期46卷 209-232页

作者： Xuefeng WANG Zhan SHI Qiqi YANG Yuzhi CHEN Xueyong WEI Ronghua HUAN Department of Engineering Mechanics MIIT Key Laboratory of Dynamics and Control of Complex SystemsNorthwestern Polytechnical UniversityXi’an 710129China Department of Mechanics Key Laboratory of Soft Machines and Smart Devices of Zhejiang ProvinceZhejiang UniversityHangzhou 310027China State Key Laboratory for Manufacturing Systems Engineering Xi’an Jiaotong UniversityXi’an 710054China

Due to scale effects,micromechanical resonators offer an excellent platform for investigating the intrinsic mechanisms of nonlinear dynamical phenomena and their potential *** review focuses on mode-coupled micromechanical resonators,highlighting the latest advancements in four key areas:internal resonance,synchronization,frequency combs,and mode *** origin,development,and potential applications of each of these dynamic phenomena within mode-coupled micromechanical systems are investigated,with the goal of inspiring new ideas and directions for researchers in this field.

关键词： mode coupling micro-electro-mechanical system(MEMS)resonator nonlinear dynamics

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Dynamics and experiments of a tendon-actuated flexible robotic arm for capturing a floating target

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Defence Technology 2025年第5期47卷 216-241页

作者： Xia, Xin Sun, Yunpeng Sun, Jialiang State Key Laboratory of Mechanics and Control for Aerospace Structures College of Aerospace Engineering Nanjing University of Aeronautics and Astronautics Nanjing210016 China College of Energy and Power Engineering Nanjing University of Aeronautics and Astronautics Nanjing210016 China

Reusable and flexible capturing of space debris is highly required in future aerospace technologies. A tendon-actuated flexible robotic arm is therefore proposed for capturing floating targets in this paper. Firstly, an accurate dynamic model of the flexible robotic arm is established by using the absolute nodal coordinate formulation (ANCF) in the framework of the arbitrary Lagrangian-Eulerian (ALE) description and the natural coordinate formulation (NCF). The contact and self-contact dynamics of the flexible robotic arm when bending and grasping an object are considered via a fast contact detection approach. Then, the dynamic simulations of the flexible robotic arm for capturing floating targets are carried out to study the influence of the position, size, and mass of the target object on the grasping performance. Finally, a principle prototype of the tendon-actuated flexible robotic arm is manufactured to validate the dynamic model. The corresponding grasping experiments for objects of various shapes are also conducted to illustrate the excellent performance of the flexible robotic arm. © 2024 China Ordnance Society

关键词： Robotic arms

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3D FE cutting simulations of Nomex honeycomb composites in rotary ultrasonic machining process

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International Journal of Machining and Machinability of Materials 2024年第1期26卷 58-84页

作者： Ahmad, Shahzad Zhang, Jianfu Wang, Jianjian Feng, Pingfa Zhang, Xiangyu Beijing Key Laboratory of Precision/ Ultra-Precision Manufacturing Equipment and Control Department of Mechanical Engineering Tsinghua University Beijing100084 China Multan60600 Pakistan State Key Laboratory of Tribology Department of Mechanical Engineering Tsinghua University Beijing100084 China

In this research a 3D FE rotary ultrasonic cutting simulation model of NHCs core material was developed based on Hashin failure criterion and novel ultrasonic circular saw blade cutter system. Further, 3D FE cutting simulation model was validated by performing RUM experiments on ultrasonic machine tool and explored. Cutting force exhibits inverse relation with vibration amplitude and spindle speed of ultrasonic circular saw blade tool, whereas it shows direct relation with feed rate. Finally, an optimised set of processing parameters was obtained by performing series of cutting simulations and verified by experimental work with a novel ultrasonic circular saw blade cutting tool at resonant frequency of 22,050 Hz, spindle speed 3,000 rpm, feed rate 500 mm/min, cutting width 8 mm, cutting depth 2 mm, and vibration amplitude 25 µm. Moreover, this study provides systematic guideline for RUM process optimisation and improvements of surface quality. © 2024 Inderscience Publishers. All rights reserved.

关键词： Natural frequencies

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MATD3-Based End-Edge Collaborative Resource Optimization for NOMA-Assisted Industrial Wireless Networks

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Computers, Materials & Continua 2025年第2期82卷 3203-3222页

作者： Ru Hao Chi Xu Jing Liu College of Information Engineering Shenyang University of Chemical TechnologyShenyang110142China State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyang110016China Key Laboratory of Networked Control Systems Chinese Academy of SciencesShenyang110016China

Non-orthogonal multiple access (NOMA) technology has recently been widely integrated into multi-access edge computing (MEC) to support task offloading in industrial wireless networks (IWNs) with limited radio resources. This paper minimizes the system overhead regarding task processing delay and energy consumption for the IWN with hybrid NOMA and orthogonal multiple access (OMA) schemes. Specifically, we formulate the system overhead minimization (SOM) problem by considering the limited computation and communication resources and NOMA efficiency. To solve the complex mixed-integer nonconvex problem, we combine the multi-agent twin delayed deep deterministic policy gradient (MATD3) and convex optimization, namely MATD3-CO, for iterative optimization. Specifically, we first decouple SOM into two sub-problems, i.e., joint sub-channel allocation and task offloading sub-problem, and computation resource allocation sub-problem. Then, we propose MATD3 to optimize the sub-channel allocation and task offloading ratio, and employ the convex optimization to allocate the computation resource with a closed-form expression derived by the Karush-Kuhn-Tucker (KKT) conditions. The solution is obtained by iteratively solving these two sub-problems. The experimental results indicate that the MATD3-CO scheme, when compared to the benchmark schemes, significantly decreases system overhead with respect to both delay and energy consumption.

关键词： Industrial wireless networks(IWNs) multi-access edge computing(MEC) non-orthogonal multiple access(NOMA) task offloading resource allocation

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Ambient particle composition and toxicity in 31 major cities in China

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Fundamental Research 2024年第3期4卷 505-515页

作者： Lu Zhang Maosheng Yao State Key Joint Laboratory of Environmental Simulation and Pollution Control College of Environmental Sciences and EngineeringPeking UniversityBeijing 100871China

Current assessment of air quality or control effectiveness is solely based on particulate matter(PM)mass levels,without considering their toxicity differences in terms of health ***,we collected a total of 465 automo-bile air conditioning filters from 31 major Chinese cities to study the composition and toxicity of PM at a national *** assay showed that normalized PM toxicity(NIOG)in different Chinese cities varied greatly from the highest 4.99×10^(-3)for Changsha to the lowest 7.72×10^(-4)for ***0G values were observed to have significant correlations with annual PM_(10) concentration(r=-0.416,p=0.020)and some PM components(total fungi,so.2-and calcium element).The concentrations of different elements and water-soluble ions in PM also varied by several orders of magnitude for 31 cities in *** concentrations in PM analyzed using limulus amebocyte lysate assay ranged from 2.88 EU/mg PM(Hangzhou)to 62.82 EU/mg PM(Shijiazhuang)among 31 Chinese ***,real-time qPCR revealed 10~100-fold differences in total bacterial and fungal levels among 31 Chinese *** concentrations of chemical(water soluble ions and trace elements)and bi-ological(fungi,bacteria and endotoxin)components in PM were found to be significantly correlated with some meteorological factors and gaseous pollutants such as SO_(2).Our results have demonstrated that PM toxicity from 31 major cities varied greatly up to 6.5 times difference;and components such as fungi and SO_(4)^(2-)in PM could play important roles in the observed PM *** city-specific air pollution control strategy that integrates toxicity factors should be enacted in order to maximize health and economic *** work also provides a comprehensive view on the overall PM pollution situation in China.

关键词： PM toxicity Oxidative potential Biologicals Chemical components Endotoxin

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Improved Residual Reinforcement Learning for Dynamic Obstacle Avoidance of Robotic Arm 13

Improved Residual Reinforcement Learning for Dynamic Obstacl...

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13th IEEE Data Driven control and Learning Systems Conference, DDCLS 2024

作者： Liu, Zhenting Liu, Shan College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China

ISBN: (纸本)9798350361674

This paper proposes an improved residual deep reinforcement learning method for robot arm dynamic obstacle avoidance and position servo. The proposed method first simplifies the state space by constructing key points and pre-trains a model capable of completing obstacle avoidance tasks using the simplified state. Then, when training with real state information, a guiding network is used to help accumulate good samples, which improves the training efficiency. To overcome the convergence difficulty of residual DQN in robot arm obstacle avoidance, this paper incorporates the action of the feedback controller into the action space and uses incremental reward values to evaluate the actions. Simulation results demonstrate that the proposed method can effectively achieve robot arm dynamic obstacle avoidance and position servo. © 2024 IEEE.

关键词： Deep reinforcement learning

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Design and fabrication of self-suspending aluminum-plastic/semiconductor photocatalyst devices for solar energy conversion

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Journal of Environmental Sciences 2024年第2期136卷 615-625页

作者： Zhi-Ang Zhao Jingyun Mao Chengjing Lu Shuangqiao Yang Qingrong Qian Qinghua Chen Hun Xue Xiaoli Sun Min-Quan Yang College of Environmental and Resource Sciences College of Carbon Neutral Modern IndustryFujian Key Laboratory of Pollution Control and Resource ReuseFujian Normal UniversityFuzhou 350007China State Key Laboratory of Polymer Materials Engineering Polymer Research Institute of Sichuan UniversityChengdu 610065China

The design and synthesis of self-suspending photocatalyst device with easy recyclability is important for practical ***,this work utilizes aluminum-plastic package waste as raw material to prepare an aluminum-plastic supported TiO_(2)(AP-TiO_(2))photocatalyst device through 3D printing design and surface deposition method.A series of characterizations were carried out to explore the structure,morphology and performance of the AP-TiO_(2)*** UV light illumination,the AP-TiO_(2)-50 efficiently degrade 93.6%tetracycline hydrochloride(THC)after 4 hr,which increases by 8.3%compared with that of TiO_(2)powder suspension system with the same catalyst *** on it,AP-ZnO,AP-CdS,AP-g-C_3N_4and AP-Pt-TiO_(2)are also fabricated,and applied in photocatalytic degradation and hydrogen evolution,which all exhibit higher photoactivities than powder suspension *** work provides a new avenue for the fabrication of advanced recyclable photocatalyst ***,the work offers a novel sight for the high-value utilization of aluminum-plastic package waste,which has positive implications for environmental protection.

关键词： TiO_(2) Self-suspending Photocatalyst device Aluminum plastic

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An improved adaptive minimum entropy deconvolution method in bearing fault detection 4

An improved adaptive minimum entropy deconvolution method in...

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4th International Conference on Mechanical, Electronics, and Electrical and Automation control, METMS 2024

作者： Liao, Zihao Xu, Jinglun Jin, Minglv Cao, Yuqi Cao, Yunqi Hou, Dibo Huang, Pingjie State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou310027 China

ISBN: (数字)9781510679887

ISBN: (纸本)9781510679870

Bearings, a crucial element in rotating machinery, are most susceptible to failure during operation, making up over half of all malfunctions. Detecting bearing faults in a timely manner can be quite challenging due to the frequent influence of strong noise on the fault features. To address the issue, an adaptive parameter optimization based on Minimum Entropy Deconvolution (MED) method in conjunction with Infogram is proposed. First, the Infogram is created through spectral negentropy, followed by the construction of a filter that utilizes the center frequency and the frequency band exhibiting the highest spectral negentropy. This filter is then applied to the original vibration signal in order to isolate the frequency band that contains the most significant bearing fault information. Then, based on MED method, the autocorrelation function and L1 norm are introduced to evaluate the filtered signal to realize the adaptive search of deconvolution filter length. Finally, the characteristic frequency components are extracted by envelope spectrum analysis. The validation of the effectiveness of the proposed method is conducted on a public dataset across various bearing operating conditions. The verification results show that this method can accurately detect the conditions of bearings, and extract more distinctive characteristic frequency components compared with some relevant techniques. © 2024 SPIE.

关键词： Spectrum analysis

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