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9th International Symposium on System Security, Safety, and Reliability, ISSSR 2023

作者： Jiang, Renyan Li, Fengping Xue, Wei Li, Xiao Zhang, Kunpeng Institute of Laser and Optoelectronic Intelligent Manufacturing Wenzhou University Wenzhou325035 China Wenzhou University China International Science & Technology Cooperation Base for Laser Processing Robotics Wenzhou325035 China Wenzhou University Provincial Key Laboratory of Laser Processing Robotics College of Mechanical and Electrical Engineering Wenzhou325035 China

ISBN: (纸本)9798350302479

The three-parameter Weibull distribution has been widely used for modeling component lifetime and material strength. The parameter estimates obtained from the maximum likelihood estimation method (MLE) and maximum product of spacing (MPS) method can be biased or inexistent. Though many other approaches have been developed, none is always efficient. Therefore, it is still a challenging issue to develop more efficient estimation methods. This paper aims to address this issue by proposing a mixed approach. The proposed approach is based on a modified Weibull transformations and involves three main steps. The first step determines two reference points from the empirical distribution function. In the second step, the location parameter is estimated based on the ratios of the difference between the reference point and data points on the modified Weibull probability paper (MWPP) plot. The third step estimates the shape and scale parameters based on the linear relation of the MWPP plot. The accuracy and robustness of the proposed approach is illustrated by a numerical experiment and its usefulness is illustrated by a real-world example. The results shows that the proposed approach provides more accurate and robust estimates than the MLE and MPS. © 2023 IEEE.

关键词： Parameter estimation

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Inhibition of Abnormal Grain Growth in Stir Zone via In‑Situ Intermetallic Particle Formation During Friction Stir Welding of AA6061

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Acta Metallurgica Sinica(English Letters) 2023年第4期36卷 597-610页

作者： Xin Zou Cunli Liu Muyang Deng Ji Chen Lanting Zhang Ke Chen School of Materials Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China Shanghai Key Laboratory of Material Laser Processing and Modification Shanghai Jiao Tong UniversityShanghai 200240China Shanghai-FANUC Robotics CO. LTDShanghai 201906China

Abnormal grain growth(AGG)has been widely observed in many friction stir welded(FSWed)joints during post-weld heat treatment(PWHT).The coarse grain structure not only reduces the strength of the joint but also limits its usage in superplastic *** methods have been reported in previous studies to inhibit AGG,but all of them can only mitigate *** inhibition of AGG was not *** the current research,AGG was widely observed during the PWHT of friction stir welded ***-pass FSW enhanced the thermal stability of the as-welded grain structure but did not eliminate the occurrence of AGG.A new welding method was developed with the ball-milled Al–Ti powder mixture introduced into the stir zone and proved effective in inhibiting AGG in FSWed AA6061 during *** adoption of 5-pass FSW with an alternate rotation mode succeeded in producing an AGG-free *** characterizations conducted in the stir zone showed an evolution of Al–Ti powder mixture into different particle formations and Al3Ti new *** analysis of the second phase particles(SPPs)in the stir zone confirmed the increases in both particle number and average *** quantitative results fit well with Humphreys’grain growth model,which theoretically explains the mechanism for AGG inhibition,i.e.,the significantly enhanced particle pinning effect.

关键词： Abnormal grain growth Friction stir welding AA6061 Second phase particle Particle pinning

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A Novel Method to Estimate Mean Lifetime with Censoring in the Context of Reliability Improvement with Design of Experiments 9

A Novel Method to Estimate Mean Lifetime with Censoring in t...

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9th International Conference on Dependable Systems and Their Applications, DSA 2022

作者： Jiang, Renyan Zhu, Xiaowei Xue, Wei Wu, Rangda Cao, Yu College of Mechanical and Electrical Engineering Wenzhou University Zhejiang Provincial Key Laboratory of Laser Processing Robotics China China International Science & Technology Cooperation Base for Laser Processing Robotics Wenzhou University China Co. Ltd. Zhejiang Wenzhou325000 China

ISBN: (数字)9781665488778

ISBN: (纸本)9781665488778

Design of experiments has been widely applied to improve product quality and reliability. When the objective is to improve the reliability, the response of experiments is usually a life observation, and experiment is often stopped at a pre-specified time (i.e., type-I censoring) so that the gathered life data are incomplete. In this case, the traditional methods such as the Taguchi and response surface methods cannot be applied, and some assumptions have to be made so that the data can be analyzed using those methods. A typical assumption is that a right-censored time is treated as a failure time. This assumption is obviously unrealistic. To address this issue, this paper proposes a novel method to estimate mean lifetime with censoring of a right-censored time, which is used to replace the censored time. The proposed method first sorts the data in ascending order. Then, a weighted least squares method is used to fit the ordered data to a power-law model of the order number. Finally, the fitted model is used to extrapolate the mean lifetime with censoring. Three examples are included to illustrate the appropriateness and usefulness of the proposed method. © 2022 IEEE.

关键词： Design of experiments

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A Mode-based Approach for Lognormal Parameter Estimation on Heavily Censored Data 13

A Mode-based Approach for Lognormal Parameter Estimation on ...

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13th International Conference on Reliability, Maintainability, and Safety, ICRMS 2022

作者： Jiang, R.Y. Qi, F.Q. Cao, Y. China International Science and Technology Cooperation Base for Laser Processing Robotics Wenzhou University Wenzhou China College of Mechanical and Electrical Engineering Wenzhou University Wenzhou China Zhejiang Provincial Key Laboratory of Laser Processing Robotics College of Mechanical and Electrical Engineering Wenzhou University Wenzhou China

ISBN: (数字)9781665486903

ISBN: (纸本)9781665486903

The density function of the lognormal distribution is unimodal and its mode is always smaller than its median life. For the type-I censoring test, if the censoring time is not larger than the median life, the censoring degree of the dataset obtained in this way will be larger than 50% on average, implying that the dataset is heavily censored. In this case, the classical parameter estimation methods generally cannot provide stable estimates, but a relatively accurate estimate of the mode can be obtained. According to this argument, this paper proposes a mode-based approach for estimating the parameters of the lognormal distribution on heavily censored data. The proposed approach first uses the midpoint Kaplan-Meier estimator to augment the data;then uses the lognormal Q-Q plot to estimate the mode of the density function, from which the scale parameter can be expressed as a function of the shape parameter;and finally uses a single-parameter maximum likelihood method to estimate the shape parameter. Six datasets are analyzed to illustrate the proposed approach and its appropriateness. © 2022 IEEE.

关键词： Parameter estimation

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Candidate Models for Modeling Quality Characteristics in Process Capability Analysis

Candidate Models for Modeling Quality Characteristics in Pro...

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2024 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2024

作者： Jiang, Renyan Xue, Wei Cao, Yu China International Sci. & Tech. Cooperation Base for Laser Processing Robotics Wenzhou University Wenzhou China Oujiang Laboratory Zhejiang Lab for Regenerative Medicine Vision and Brain Health Wenzhou University Wenzhou China Zhejiang Provincial Innovation Center of Laser Intelligent Equipment Technology Wenzhou China

ISBN: (纸本)9798350386097

Capability analysis of manufacturing processes needs to appropriately model quality characteristics (QCs). The sample data for modeling can be divided into three categories: (a) original measurement data of QCs, (b) transformed or normalized measurement data, and (c) data of a composite QC obtained through aggregating several QCs. Generally, different categories of data require different types of distribution models. The purpose of this paper is to identify potential candidate distributions for the first and second categories of data. This is done through fitting seven real-world datasets to eight candidate distributions, which can be divided into two types: (a) common distributions like the Weibull distribution, and (b) the folded-normal distribution (FND) and its variants such as generalized and power half-normal distributions. Main conclusions are that the normal assumption does not hold for the data considered in this paper, the measurement data can be appropriately modeled by some of the common distributions, and the transformed data can be appropriately modeled by the FND or its variants. These are useful for QC modeling in process capability analysis. © 2024 IEEE.

关键词： Weibull distribution

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An Assist-as-Needed Variable Admittance Controller for Adaptive Support of Mobile Walking Assistive Robots 30

An Assist-as-Needed Variable Admittance Controller for Adapt...

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30th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2024

作者： Chen, Xinxing Zheng, Yue Su, Zongming Leng, Yuquan Huang, Jian Fu, Chenglong Guangdong Provincial Key Laboratory of Human-Augmentation and Rehabilitation Robotics in Universities Southern University of Science and Technology Shenzhen China Huawei Technologies Technology Planning Department Shenzhen China Key Laboratory for Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9798350391916

Mobile walking assistive robots have been widely used for monitoring patients' gait patterns and providing support to prevent falls. Traditional approaches often separate the operational modes of these robots into human-following and supporting modes, which can lead to discontinuities in assistance and potentially compromise safety. This paper proposes a novel assist-as-needed control strategy that incorporates a Balance Index (BI) to dynamically adjust the robot's support based on the user's balance capability. The BI is calculated using the interaction force between the user and the robot along the z-axis and the gait symmetry index (GSI). The proposed variable admittance controller modifies its parameters based on the BI, ensuring seamless transitions between compliance and support modes. Experimental validation was conducted with a healthy subject walking both with and without a knee fixation brace. The results demonstrate that the robot provides minimal interference during natural gait and increased support during impaired gait, validating the effectiveness of the proposed control strategy in enhancing user safety and promoting natural walking patterns. © 2024 IEEE.

关键词： Assistive technology

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Enhanced photonic nanojets for submicron patterning

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Journal of Central South University 2022年第10期29卷 3323-3334页

作者： ZHOU Zhuang-zhuang ALI Hassan HOU Zhi-shan XUE Wei CAO Yu Zhejiang Provincial Key Laboratory of Laser Processing Robotics College of Mechanical and Electrical EngineeringWenzhou UniversityWenzhou 325035China Oujiang Laboratory(Zhejiang Lab for Regenerative Medicine Vision and Brain Health)Wenzhou UniversityWenzhou 325000China China International Science&Technology Cooperation Base for Laser Processing Robotics Wenzhou UniversityWenzhou 325035China

Photonic nanojets(PNJs) have a wide range of applications in laser processing, nanolithography, optical highdensity storage, super-resolution microscopy, and other fields due to their processing capacity to overcome the diffraction limit. Herein, we control static microsphere be developed into the motion state to fabricate vector graphics *** microspheres roll on the substrate while the laser is kept synchronously irradiated, and the overlapping PNJ ablated craters form patterned grooves on the indium-tin oxide(ITO) substrate. Thus, PNJ has been expanded from “point”processing to “line” processing. The fabricated nano grooves have high continuity and consistency. Whereas, the precise customization of critical groove dimension can be achieved via modulation in diameter and kinetics of dielectric microshperes. Furthermore, by etching vectographs on an ITO conductive glass substrate, we demonstrated the advantages and potential of the proposed method in nanopatterning. The proposed method effectively reduces the cost and complexity of photonic nanojets applied in nanopatterning. The proposed nanopatterning methodology will play a vital role in the fabrication of semiconductor materials, sensors, microfluidic devices, surface-enhanced Raman scattering(SERS), biomedicine, nanoscience and nanoengineering.

关键词： photonic nanojets nano-grooves synchronously irradiated nanoengineering

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Model-Agnostic Meta-Learning for Fault Diagnosis of Industrial Robots 28

Model-Agnostic Meta-Learning for Fault Diagnosis of Industri...

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28th International Conference on Automation and Computing, ICAC 2023

作者： Liu, Yuxin Chen, Chong Wang, Tao Cheng, Lianglun Qin, Jian Guangdong University of Technology Guangdong Provincial Key Laboratory of Cyber-Physical System Guangzhou China Welding Engineering and Laser Processing Centre School of Aerospace Transport and Manufacturing Cranfield University Cranfield United Kingdom

ISBN: (纸本)9798350335859

The success of deep learning in the field of fault diagnosis depends on a large number of training data, but it is a challenge to achieve fault diagnosis of multi-axis industrial robots in the case of few-shot. To address this issue, this paper proposes a method called Model-Agnostic Meta-Learning (MAML) for fault diagnosis of industrial robots. Its goal is to train an effective industrial robot fault classifier using minimal training data. Additionally, it can learn to recognize faults in new scenarios with high accuracy based on the training data. Experimental results based on a six-axis industrial robot dataset show that the proposed method is superior to traditional convolutional neural network (CNN) and transfer learning, and that the diagnostic results with the same amount of data in few-shot cases are better than existing intelligent fault diagnosis methods. © 2023 IEEE.

关键词： Failure analysis

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High Performance Soft Electrochemical Actuators Based on Hierarchical Conductive Polymer Ionogels

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Journal of Bionic Engineering 2023年第6期20卷 2755-2763页

作者： Hongwei Hu Shengtao Zhang Yan Li Xinghao Hu Lin Xu Aixin Feng Guanggui Cheng Jianning Ding Zhejiang Provincial Key Laboratory of Laser Processing Robotics College of Mechanical and Electrical EngineeringWenzhou UniversityWenzhou325035China Institute of Intelligent Flexible Mechatronics Jiangsu UniversityZhenjiang212013China School of Mechanical Engineering Jiangsu University of Science and TechnologyZhenjiang212100China School of Mechanical Engineering Yangzhou UniversityYangzhou225127China Jiangsu Collaborative Innovation Center of Photovoltaic Science and Engineering Changzhou UniversityChangzhou213164China Ruian Graduate School of Wenzhou University Ruian325207ZhejiangChina

Electrochemical actuators based on conductive polymers are emerging as a strong competitive in the field of soft actuators because of their intrinsically conformable/elastic nature,low cost,low operating voltage and air-working *** development has shown that adding electroactive materials,such as CNT and graphene,can improve their actuation *** the complex material systems used,their output strains(one of the key factors)are generally lower than 1%,which limited further applications of them in multiple ***,we report soft electrochemical actuators based on conductive polymer ionogels by embedding polyaniline particles between the PEDOT:PSS *** show that such a hierarchical structure not only leads to a high conductivity(1250 S/cm)but also improved electrochemical *** a low operating voltage of 1 V,the maximum strain of these soft actuators reaches an exceptional value of 1.5%,with a high blocking force of 1.3 *** these high-performance electrochemical actuators,we demonstrate soft grippers for manipulating object and a bionic flower stimulated by an electrical *** work sets an important step towards enabling the enhanced performance of electrochemical actuators based on conductive polymers with designed microstructures.

关键词： Conductive polymer Soft actuator Polyaniline PEDOT:PSS Bioinspired actuator

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HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion 38

HairDiffusion: Vivid Multi-Colored Hair Editing via Latent D...

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38th Conference on Neural Information processing Systems, NeurIPS 2024

作者： Zeng, Yu Zhang, Yang Liu, Jiachen Shen, Linlin Deng, Kaijun He, Weizhao Wang, Jinbao Computer Vision Institute School of Computer Science & Software Engineering Shenzhen University China Shenzhen Institute of Artificial Intelligence and Robotics for Society China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University China Guangdong Provincial Key Laboratory of Intelligent Information Processing China

Hair editing is a critical image synthesis task that aims to edit hair color and hairstyle using text descriptions or reference images, while preserving irrelevant attributes (e.g., identity, background, cloth). Many existing methods are based on StyleGAN to address this task. However, due to the limited spatial distribution of StyleGAN, it struggles with multiple hair color editing and facial preservation. Considering the advancements in diffusion models, we utilize Latent Diffusion Models (LDMs) for hairstyle editing. Our approach introduces Multi-stage Hairstyle Blend (MHB), effectively separating control of hair color and hairstyle in diffusion latent space. Additionally, we train a warping module to align the hair color with the target region. To further enhance multi-color hairstyle editing, we fine-tuned a CLIP model using a multi-color hairstyle dataset. Our method not only tackles the complexity of multi-color hairstyles but also addresses the challenge of preserving original colors during diffusion editing. Extensive experiments showcase the superiority of our method in editing multi-color hairstyles while preserving facial attributes given textual descriptions and reference images. © 2024 Neural information processing systems foundation. All rights reserved.

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