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基于多源域数据与机器学习算法的转子不平衡故障诊断
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作者 关晓晴 卫炳坤 +3 位作者 牛东圣 焦瀚晖 胡东旭 张雪辉 《北京化工大学学报(自然科学版)》 CAS CSCD 北大核心 2024年第2期109-119,共11页
国内能源生产装置规模大型化发展趋势明显,与其配套的旋转机械设备发生故障导致的非计划停机将会造成严重的经济损失与重大安全问题。转子不平衡贯穿了旋转机械设备的整个生命周期,服役转子的状态诊断格外重要。针对大型旋转机械振动测... 国内能源生产装置规模大型化发展趋势明显,与其配套的旋转机械设备发生故障导致的非计划停机将会造成严重的经济损失与重大安全问题。转子不平衡贯穿了旋转机械设备的整个生命周期,服役转子的状态诊断格外重要。针对大型旋转机械振动测点较多,振动信号具有非平稳特征等问题,提出基于多源域数据提取与机器学习算法的转子不平衡故障诊断模型。首先以多源振动监测数据为驱动,根据互相关系数提取故障信息丰富的振动信号,融合时域、频域、时频域等多域特征构建高维混合特征空间;其次利用基于t分布的随机邻域嵌入方法揭示高维空间的特征信息,反映为可视化的三维空间;最终通过最邻近节点算法进行故障分类,判断转子的不平衡质量与相位。本文提出利用互相关系数表征多源数据的故障信息丰富程度,并结合机器学习手段判断转子不平衡类型。通过设计不同附加质量的转子在多转速下不平衡状态实验,验证了所提模型的有效性,解决了转子在线诊断和现场动平衡问题。 展开更多
关键词 转子不平衡 多源域数据 智能故障诊断 旋转机械
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Emerging role of cystic fibrosis transmembrane conductance regulator- an epithelial chloride channel in gastrointestinal cancers 被引量:3
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作者 Yuning Hou xiaoqing guan +1 位作者 Zhe Yang Chunying Li 《World Journal of Gastrointestinal Oncology》 SCIE CAS 2016年第3期282-288,共7页
Cystic fibrosis transmembrane conductance regulator(CFTR), a glycoprotein with 1480 amino acids, has been well established as a chloride channel mainly expressed in the epithelial cells of various tissues and organs s... Cystic fibrosis transmembrane conductance regulator(CFTR), a glycoprotein with 1480 amino acids, has been well established as a chloride channel mainly expressed in the epithelial cells of various tissues and organs such as lungs, sweat glands, gastrointestinal system, and reproductive organs. Although defective CFTR leads to cystic fibrosis, a common genetic disorder in the Caucasian population, there is accumulating evidence that suggests a novel role of CFTR in various cancers, especially in gastroenterological cancers, such as pancreatic cancer and colon cancer. In this review, we summarize the emerging findings that link CFTR with various cancers, with focus on the association between CFTR defects and gastrointestinal cancers as well as the underlying mechanisms. Further study of CFTR in cancer biology may help pave a new way for the diagnosis and treatment of gastrointestinal cancers. 展开更多
关键词 GASTROINTESTINAL cancer Protein interaction CYSTIC fibrosis TRANSMEMBRANE CONDUCTANCE regulator Nuclear factor k B Signaling molecule
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Novel Real-Time Seam Tracking Algorithm Based on Vector Angle and Least Square Method 被引量:1
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作者 guanhao Liang Qingsheng Luo +1 位作者 Zhuo Ge xiaoqing guan 《Journal of Beijing Institute of Technology》 EI CAS 2017年第2期150-157,共8页
Real-time seam tracking can improve welding quality and enhance welding efficiency during the welding process in automobile manufacturing.However,the teaching-playing welding process,an off-line seam tracking method,i... Real-time seam tracking can improve welding quality and enhance welding efficiency during the welding process in automobile manufacturing.However,the teaching-playing welding process,an off-line seam tracking method,is still dominant in automobile industry,which is less flexible when welding objects or situation change.A novel real-time algorithm consisting of seam detection and generation is proposed to track seam.Using captured 3D points,space vectors were created between two adjacent points along each laser line and then a vector angle based algorithm was developed to detect target points on the seam.Least square method was used to fit target points to a welding trajectory for seam tracking.Furthermore,the real-time seam tracking process was simulated in MATLAB/Simulink.The trend of joint angles vs.time was logged and a comparison between the off-line and the proposed seam tracking algorithm was conducted.Results show that the proposed real-time seam tracking algorithm can work in a real-time scenario and have high accuracy in welding point positioning. 展开更多
关键词 real-time seam tracking real-time seam detection laser scanner vector angle leastsquare method algorithm research
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