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| 1 | Research on FBG-Based CFRP Structural Damage Identification Using BP Neural Network显示文摘增强的塑料(CFRP ) 组织的碳纤维的一个损坏鉴定系统用纤维布拉格被调查栅栏(FBG ) 传感器和背繁殖(BP ) 神经网络。FBG 传感器被使用构造察觉到的网络检测活跃使活动产生的结构的动态反应信号。损坏鉴定模型基于 BP 神经网络被造。Fourier 变换提取的动态信号特征是输入,并且损坏状态是模型的产量。而且,损坏被把 lumped 群众交给不同重量而不是导致真实损坏模仿,它被证实由有限元素分析(FEA ) 可行。最后,损坏鉴定系统与 300 公里在一个 CFRP 盘子上被验证 ?????????? 偍 ?????????? 瀠? 偍 ??? ‰ ?慐 吗?? | Xiangyi GENG Shizeng LU Mingshun JIANG Qingmei SUI Shanshan LV Hang XIAO Yuxi JIA Lei JIA | 2018 | Photonic Sensors2018，8，2： | 9 |
| 2 | An improved evaluation of the neutron background in the PandaX-Ⅱ experiment显示文摘In dark matter direct detection experiments,neutron is a serious source of background,which can mimic the dark matter-nucleus scattering signals.In this paper,we present an improved evaluation of the neutron background in the PandaX-II dark matter experiment by a novel approach.Instead of fully relying on the Monte Carlo simulation,the overall neutron background is determined from the neutron-induced high energy signals in the data.In addition,the probability of producing a dark-matter-like background per neutron is evaluated with a complete Monte Carlo generator,where the correlated emission of neutron(s)andγ(s)in the(α,n)reactions and spontaneous fissions is taken into consideration.With this method,the neutron backgrounds in the Run 9(26-ton-day)and Run 10(28-ton-day)data sets of PandaX-II are estimated to be(0.66±0.24)and(0.47±0.25)events,respectively. | QiuHong Wang Abdusalam Abdukerim Wei Chen Xun Chen YunHua Chen XiangYi Cui YingJie Fan DeQing Fang ChangBo Fu LiSheng Geng Karl Giboni Franco Giuliani LinHui Gu XuYuan Guo Ke Han ChangDa He Di Huang Yan Huang YanLin Huang Zhou Huang Peng Ji XiangDong Ji YongLin Ju YiHui Lai Kun Liang HuaXuan Liu JiangLai Liu WenBo Ma YuGang Ma YaJun Mao Yue Meng Parinya Namwongsa KaiXiang Ni JinHua Ning XuYang Ning XiangXiang Ren ChangSong Shang Lin Si AnDi Tan AnQing Wang HongWei Wang Meng Wang SiGuang Wang XiuLi Wang Zhou Wang MengMeng Wu ShiYong Wu JingKai Xia MengJiao Xiao PengWei Xie BinBin Yan JiJun Yang Yong Yang ChunXu Yu Jumin Yuan Dan Zhang HongGuang Zhang Tao Zhang Li Zhao QiBin Zheng JiFang Zhou Ning Zhou XiaoPeng Zhou | 2020 | Science China(Physics,Mechanics & Astronomy)2020，63，3： | 0 |
| 3 | Constraining self-interacting dark matter with the full dataset of PandaX-II显示文摘Self-interacting dark matter(SIDM)is a leading candidate proposed to solve discrepancies between predictions of the prevailing cold dark matter theory and observations of galaxies.Many SIDM models predict the existence of a light force carrier that mediates strong dark matter self-interactions.If the mediator couples to the standard model particles,it could produce characteristic signals in dark matter direct detection experiments.We report searches for signals of SIDM models with a light mediator using the full dataset of the PandaX-II experiment,basing on a total exposure of 132 tonne-days.No significant excess over background is found,and our likelihood analysis leads to a strong upper limit on the dark matter-nucleon coupling strength.We further combine the PandaX-II constraints and those from observations of the light element abundances in the early universe,and show that direct detection and cosmological probes can provide complementary constraints on dark matter models with a light mediator. | Jijun Yang Abdusalam Abdukerim Wei Chen Xun Chen Yunhua Chen Chen Cheng Xiangyi Cui Yingjie Fan Deqing Fang Changbo Fu Mengting Fu Lisheng Geng Karl Giboni Linhui Gu Xuyuan Guo Ke Han Changda He Shengming He Di Huang Yan Huang Ran Huo Yanlin Huang Zhou Huang Xiangdong Ji Yonglin Ju Shuaijie Li Qing Lin Huaxuan Liu Jianglai Liu Xiaoying Lu Wenbo Ma Yugang Ma Yajun Mao Yue Meng Nasir Shaheed Kaixiang Ni Jinhua Ning Xuyang Ning Xiangxiang Ren Changsong Shang Guofang Shen Lin Si Andi Tan Anqing Wang Hongwei Wang Meng Wang QiuHong Wang Siguang Wang Wei Wang Xiuli Wang Zhou Wang Mengmeng Wu Shiyong Wu Weihao Wu Jingkai Xia Mengjiao Xiao Xiang Xiao Pengwei Xie Binbin Yan Yong Yang Chunxu Yu Hai-Bo Yu Jumin Yuan Ying Yuan Xinning Zeng Dan Zhang Tao Zhang Li Zhao Qibin Zheng Jifang Zhou Ning Zhou Xiaopeng Zhou | 2021 | Science China(Physics,Mechanics & Astronomy)2021，64，11： | 0 |
| 4 | Determination of Double Beta Decay Half-Life of 136Xe with the PandaX-4T Natural Xenon Detector显示文摘Precise measurement of two-neutrino double beta decay(DBD)half-life is an important step for the searches of Majorana neutrinos with neutrinoless double beta decay.We report the measurement of DBD half-life of 136xe using the Pandax-4T dual-phase Time Projection Chamber(TPC)with 3.7-tonne natural xenon and the first 94.9-day physics data release. | Lin Si Zhaokan Cheng Abdusalam Abdukerim Zihao Bo Wei Chen Xun Chen Yunhua Chen Chen Cheng Yunshan Cheng Xiangyi Cui Yingjie Fan Deqing Fang Changbo Fu Mengting Fu Lisheng Geng Karl Giboni Linhui Gu Xuyuan Guo Ke Han Changda He Jinrong He Di Huang Yanlin Huang Zhou Huang Ruquan Hou Xiangdong Ji Yonglin Ju Chenxiang Li Jiafu Li Mingchuan Li Shu Li Shuaijie Li Qing Lin Jianglai Liu Xiaoying Lu Lingyin Luo Yunyang Luo Wenbo Ma Yugang Ma Yujun Mao Yue Meng Nasir Shaheed Xiaofeng Shang Xuyang Ning Ningchun Qi Zhicheng Qian Xiangxiang Ren Changsong Shang Guofang Shen Wenliang Sun Andi Tan Yi Tao Anqing Wang Meng Wang Qiuhong Wang Shaobo Wang Siguang Wang Wei Wang Xiuli Wang Zhou Wang Yuehuan Wei Mengmeng Wu Weihao Wu Jingkai Xia Mengjiao Xiao Xiang Xiao Pengwei Xie Binbin Yan Xiyu Yan Yong Yang Chunxu Yu Jumin Yuan Ying Yuan Zhe Yuan Dan Zhang Minzhen Zhang Peng Zhang Shibo Zhang Shu Zhang Tao Zhang Li Zhao Qibin Zheng Jifang Zhou Ning Zhou Xiaopeng Zhou Yong Zhou | 2023 | Research2023，，2： | 0 |
| 5 | HCPCF-Based In-Line Fiber Fabry-Perot Refractometer and High Sensitivity Signal Processing Method显示文摘同轴的纤维 Fabry-Perot 干涉仪(FPI ) 基于为折射索引(RI ) 的空核心的 photonic 水晶纤维(HCPCF ) ,测量在这份报纸被建议。FPI 被拼接形成到单个模式纤维(SMF ) 的 HCPCF 的短节的两结束并且劈开 SMF 辫子到合适的长度。传感器的 RI 反应理论上被分析并且试验性地示威了。结果证明 FPI 传感器有线性反应到外部 RI 和好重覆性。从最大的穗对比计算的敏感是 -136 dB/RIU。为信号处理的微分集成(SDI ) 方法也是的一个新系列在这介绍了学习。在这个方法, RI 从干扰光谱和它的弄平的光谱之间的绝对差别的综合紧张被获得。结果证明从综合紧张获得的敏感关于 -1.34chemical 分析。另外,象 anti-M 慲楴湯攠晦 ' ?慷 ? 獥慴汢獩敨 ? 牡畯摮ㄠ ? ‥潦 ? 潢桴 ? 塏? 那样的 Sertoli 房间标记的本地化 ? 湡 ? 呍 ? 整档楮畱獥 ? 桷牥慥? 汦潵敲 ' 諟I倡 A 祡? 桳睯摥愠栠杩敨 ? 敬敶 ? ㄨ ????? 佄 ?? 猠潨敷 ?? 潬敷 ? 楬業? 景搠瑥 ' 虡 N 湯??瑡?? | Xiaohui LIU Mingshun JIANG Qingmei SUI Xiangyi GENG Furong SONG | 2017 | Photonic Sensors2017，7，4： | 0 |
| 6 | Fault Diagnosis Method of Rolling Bearing Based on ESGMD-CC and AFSA-ELM显示文摘Incomplete fault signal characteristics and ease of noise contamination are issues with the current rolling bearing early fault diagnostic methods,making it challenging to ensure the fault diagnosis accuracy and reliability.A novel approach integrating enhanced Symplectic geometry mode decomposition with cosine difference limitation and calculus operator(ESGMD-CC)and artificial fish swarm algorithm(AFSA)optimized extreme learning machine(ELM)is proposed in this paper to enhance the extraction capability of fault features and thus improve the accuracy of fault diagnosis.Firstly,SGMD decomposes the raw vibration signal into multiple Symplectic geometry components(SGCs).Secondly,the iterations are reset by the cosine difference limitation to effectively separate the redundant components from the representative components.Additionally,the calculus operator is performed to strengthen weak fault features and make them easier to extract,and the singular value decomposition(SVD)weighted by power spectrum entropy(PSE)can be utilized as the sample feature representation.Finally,AFSA iteratively optimized ELM is adopted as the optimized classifier for fault identification.The superior performance of the proposed method has been validated by various experiments. | Jiajie He Fuzheng Liu Xiangyi Geng Xifeng Liang Faye Zhang Mingshun Jiang | 2024 | Structural Durability & Health Monitoring2024，18，1： | 0 |
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