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Label Recovery and Trajectory Designable Network for Transfer Fault Diagnosis of Machines With Incorrect Annotation

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IEEE/CAA Journal of Automatica Sinica 2024年第4期11卷 932-945页

作者： Bin Yang yaguo Lei Xiang li Naipeng li Asoke K.Nandi the Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System the School of Mechanical EngineeringXi’an Jiaotong UniveristyXi’an 710049 the Hunan Provincial Key Labortory of Health Maintenance for Mechanical Equipment Hunan Univeristy of Science and TechnologyXiangtan 411201China the Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System Xi’an Jiaotong UniveristyXi’an 710049China the Department of Electronic and Electrical Engineering Brunel University LondonUxbridge UB83PHUK

The success of deep transfer learning in fault diagnosis is attributed to the collection of high-quality labeled data from the source ***,in engineering scenarios,achieving such high-quality label annotation is difficult and *** incorrect label annotation produces two negative effects:1)the complex decision boundary of diagnosis models lowers the generalization performance on the target domain,and2)the distribution of target domain samples becomes misaligned with the false-labeled *** overcome these negative effects,this article proposes a solution called the label recovery and trajectory designable network(LRTDN).LRTDN consists of three ***,a residual network with dual classifiers is to learn features from cross-domain ***,an annotation check module is constructed to generate a label anomaly indicator that could modify the abnormal labels of false-labeled samples in the source *** the training of relabeled samples,the complexity of diagnosis model is reduced via semi-supervised ***,the adaptation trajectories are designed for sample distributions across *** ensures that the target domain samples are only adapted with the pure-labeled *** LRTDN is verified by two case studies,in which the diagnosis knowledge of bearings is transferred across different working conditions as well as different yet related *** results show that LRTDN offers a high diagnosis accuracy even in the presence of incorrect annotation.

关键词： Deep transfer learning domain adaptation incorrect label annotation intelligent fault diagnosis rotating machines

Dynamic Vision Enabled Contactless Cross-Domain Machine Fault Diagnosis With Neuromorphic Computing

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IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 788-790页

作者： Xinrui Chen Xiang li Shupeng Yu yaguo Lei Naipeng li Bin Yang the Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System Xi’an Jiaotong UniversityXi’an 710049China

Dear Editor,This letter presents a novel dynamic vision enabled contactless cross-domain fault diagnosis method with neuromorphic *** event-based camera is adopted to capture the machine vibration states in the perspe... 详细信息

关键词： fault less diagnosis

Evolutionary divergence of subgenomes in common carp provides insights into speciation and allopolyploid success

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Fundamental Research 2024年第3期4卷 589-602页

作者： lin Chen Chengyu li Bijun li Xiaofan Zhou Yulin Bai Xiaoqing Zou Zhixiong Zhou Qian He Baohua Chen Mei Wang yaguo Xue Zhou Jiang Jianxin Feng Tao Zhou Zhanjiang liu Peng Xu State Key Laboratory of Mariculture Breeding College of Ocean and Earth SciencesXiamen UniversityXiamen 361102China Fujian Key Laboratory of Genetics and Breeding of Marine Organisms College of Ocean and Earth SciencesXiamen UniversityXiamen 361102China State Key Laboratory of Marine Environmental Science College of Ocean and Earth SciencesXiamen UniversityXiamen 361102China Integrative Microbiology Research Centre South China Agricultural UniversityGuangzhou 510642China College of Fisheries Henan Normal UniversityXinxiang 453007China Henan Academy of Fishery Science Zhengzhou 450044China Department of Biology College of Arts and SciencesSyracuse UniversitySyracuse 13244USA

Hybridization and polyploidization have made great contributions to speciation,heterosis,and agricultural production within plants,but there is still limited understanding and utilization in *** structure and expression reorganization and cooperation post hybridization and polyploidization are essential for speciation and allopolyploid ***,the mechanisms have not yet been comprehensively assessed in ***,we produced a high-fidelity reference genome sequence for common carp,a typical allotetraploid fish species cultured *** genome enabled in-depth analysis of the evolution of subgenome architecture and expression *** genes were expressed with subgenome biases,with a trend of transition from the expression of subgenome A during the early stages to that of subgenome B during the late stages of embryonic *** subgenome A evolved more rapidly,subgenome B contributed to a greater level of expression during development and under stressful *** dominant patterns for homoeologous gene pairs both during development and under thermal stress suggest a potential fixed heterosis in the allotetraploid *** expressing either copy of a homoeologous gene at higher levels to confer development and response to stress indicates the dominant effect of *** plasticity of subgenomes and their shifting of dominant expression during early development,and in response to stressful conditions,provide novel insights into the molecular basis of the successful speciation,evolution,and heterosis of the allotetraploid common carp.

关键词： Allotetraploid Subgenome structural evolution Homoeologous expression Expression dominance shift Environmental adaptation

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基于人工智能与边缘代理的物联网框架设计

计算机工程 2023年第10期49卷 313-320页

作者：李亚国李冠良张凯晋涛国网山西省电力公司太原030001 国网山西省电力公司电力科学研究院太原030001

随着物联网和人工智能(AI)的技术发展及产品在各业务领域的推广,将边缘计算与AI模型集成融合,实现物联网智能化与计算前置化能满足更多的应用场景,但边缘代理设备通常受到硬件资源能力、性能及安全隐私等问题限制,将AI和边缘计算有效融... 详细信息

随着物联网和人工智能(AI)的技术发展及产品在各业务领域的推广,将边缘计算与AI模型集成融合,实现物联网智能化与计算前置化能满足更多的应用场景,但边缘代理设备通常受到硬件资源能力、性能及安全隐私等问题限制,将AI和边缘计算有效融合集成存在较大挑战。在物联网系统中,基于AI对边缘架构进行优化调整,构建具备边缘计算及AI能力的物联网新型智能框架,有效实现将边缘计算和AI集成到物联网系统中。在边端侧AI模型引导阶段,设计私有数据和公共数据的存储策略,有效提高数据安全性;在模型部署阶段,设计可配置压缩比的云端压缩、边端解压缩的部署模式,减少模型大小和传输所需数据流量,实现模型在边端侧的轻量级部署;在模型学习阶段,设计迁移学习和增量学习互补的学习方式,增加边端侧的模型训练及实用能力,提高云-边协作水平。实验结果表明,集成在边端的AI模型在资源占用率不足云模型50%情况下,准确率达到88%,同时训练时间比云模型快5倍以上。

关键词：物联网边缘计算人工智能深度学习云边协同

毒死蜱激活小胶质细胞对多巴胺能神经元的影响

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生物医学工程学杂志 2016年第3期33卷 506-511页

作者：楼跃李雅国浙江医院神经内科杭州310000

小胶质细胞的激活可导致神经元损伤,从而导致神经退行性疾病如帕金森病的发病。为了探讨毒死蜱(CPF)对小胶质细胞激活、炎症因子表达分泌,以及对多巴胺能神经元存活率的影响,本研究采用逆转录-聚合酶链反应(RT-PCR)、Western blot检测CP... 详细信息

小胶质细胞的激活可导致神经元损伤,从而导致神经退行性疾病如帕金森病的发病。为了探讨毒死蜱(CPF)对小胶质细胞激活、炎症因子表达分泌,以及对多巴胺能神经元存活率的影响,本研究采用逆转录-聚合酶链反应(RT-PCR)、Western blot检测CPF刺激BV-2细胞(0、1、3、6、12、24h)后BV-2细胞形态的改变及诱导型一氧化氮合成酶(iNOS)、环氧化酶2(COX-2)mRNA和蛋白表达的变化;然后将BV-2细胞分为CPF组、DMSO对照组、NS对照组,分别刺激BV-2细胞12h后,将各BV-2细胞培养液加入SH-SY5Y细胞共培养24h。采用MTT方法检测经不同处理的BV-2细胞的条件培养液对SH-SY5Y存活率的影响。发现CPF作用下,BV-2小胶质细胞激活,炎症因子iNOS mRNA、COX-2mRNA及其蛋白表达水平均升高。激活的BV-2细胞通过分泌炎症因子造成神经元损伤。总之,CPF作用下小胶质细胞激活产生炎症因子,介导对神经元的损伤,进而可能参与了帕金森病的发病过程。

关键词：毒死蜱小胶质细胞多巴胺能神经元帕金森病

Parkinsonism caused by Intracranial ependymoma:a rare case report

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Parkinsonism caused by Intracranial ependymoma:a rare case r...

基于蒙特卡罗方法的离子束溅射熔融石英、硅、金和铜行为特征规律仿真研究

2019年浙江省医学会中毒学学术大会

作者： Yue Lou Yanwen Wang Xiaoli liu yaguo li

Background:Ependymomas especially intracranial ependymomas are rare neoplasms of the *** clinical courses of patients with intracranial ependymomas can be quite *** present there is scarce data on parkinsonism caused by *** presentation:A 13-year-old girl who presented with parkinsonism symptoms of clumsiness on her left leg and *** mother was diagnosed with parkinson’s disease at age 30,9 years *** resonance imaging showed a lesion in the temporal lobe with long-T1 signal,mixed-T2 *** patient was taken right tumorectomy,and was diagnosed as a ependymoma *** patient’s symptoms fully resolved in the postoperative ***:This present case describes the mechanism of intracranial ependymoma involving parkinsonism *** findings suggest that in some patients presented with atypical PD symptoms the underlying cause should not be overlooked,MRI examination is necessary.

关键词： Ependymoma parkinsonism surgical resection magnetic resonance imaging

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激光与光电子学进展 2023年第7期60卷 245-252页

作者：胡邦杰张清华刘民才许乔李亚国成都精密光学工程研究中心四川成都610041 中国工程物理研究院激光聚变研究中心四川绵阳621900

采用蒙特卡罗方法研究了在不同溅射参数和材料模型下,溅射产额、损伤密度分布和纵向能量损伤分布等溅射特征参量对离子束溅射作用效果的影响。通过SRIM-2013软件的粒子跟踪和物理统计结果,分析了离子束初始能量、入射角度、离子种类和... 详细信息

采用蒙特卡罗方法研究了在不同溅射参数和材料模型下,溅射产额、损伤密度分布和纵向能量损伤分布等溅射特征参量对离子束溅射作用效果的影响。通过SRIM-2013软件的粒子跟踪和物理统计结果,分析了离子束初始能量、入射角度、离子种类和材料类型对表面溅射效果和能量沉积的影响规律,研究了表面损伤分布规律与溅射参数和溅射产额的关系。结果表明:85°的束源倾角设置可促进级联粒子密度集中和密度峰值群向表面移动分别达到2.8×10^(8)atom/cm^(2)和3×10^(-10)m,平均能量损失减小45.6%,Ar^(+)溅射产额提高4.7倍;声子和电离产生大量的能量损失抑制了溅射产额的提高,两种能量损失占总损失比在0°入射时分别可达69%和30%。

关键词：材料蒙特卡罗方法离子束 SRIM 溅射产额损伤分布能量损失

结构性土中圆柱孔扩张不排水解答及结构退化影响分析

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上海交通大学学报 2024年第7期58卷 1097-1107页

作者：翟张辉张亚国肖书雄李同录长安大学地质工程与测绘学院西安710054 长安大学建筑工程学院西安710054 黄土高原水循环与地质环境教育部野外科学观测研究站甘肃正宁745399

圆孔扩张理论为桩基挤土位移预测和旁压试验结果分析等提供了理论依据,而现有解答中缺乏对土体结构影响的系统分析.基于考虑胶结作用的模型Cemented-CASM,推导了反映土体应力-应变关系的弹塑性刚度矩阵,在此基础上联立硬化法则和大应变... 详细信息

圆孔扩张理论为桩基挤土位移预测和旁压试验结果分析等提供了理论依据,而现有解答中缺乏对土体结构影响的系统分析.基于考虑胶结作用的模型Cemented-CASM,推导了反映土体应力-应变关系的弹塑性刚度矩阵,在此基础上联立硬化法则和大应变理论,得到了不排水条件下结构性土中圆柱孔扩张问题的弹塑性解答.在不考虑土体结构性时,将退化解答与已有修正剑桥模型解答进行比较;在考虑结构性影响时,与旁压试验数值模拟结果比较,验证了解答的可靠性.通过参数分析说明了结构性及其退化对圆柱孔扩张过程的影响,结果表明:与重塑土相比,结构性土中扩孔引起的有效应力和孔隙水压力更大,而孔周塑性范围更小;随着结构的破坏,孔周土体表现出应变软化特征,径向应力随到孔壁距离的减小呈先增后减的变化趋势;土体结构完全破坏时,其有效应力与重塑土中趋于一致;土体结构性越强,相同扩孔压力或孔径变化下结构退化越快,软化特征越明显.

关键词：岩土工程圆柱孔扩张弹塑性解答结构性土胶结作用应变软化

Orthotropic nystagmus in predicting the efficacy of treatment in posterior canal benign paroxysmal positional vertigo

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Orthotropic nystagmus in predicting the efficacy of treatmen...