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Laboratory diagnosis for malaria in the elimination phase in China: efforts and challenges
《医学前沿(英文)》 2022年 第16卷 第1期 页码 10-16 doi: 10.1007/s11684-021-0889-7
关键词: malaria laboratory diagnosis quality control malaria elimination China
Biosensor-based assay of exosome biomarker for early diagnosis of cancer
《医学前沿(英文)》 2022年 第16卷 第2期 页码 157-175 doi: 10.1007/s11684-021-0884-z
Tomographic diagnosis of defects in hydraulic concrete structure
ZHAO Mingjie, XU Xibin
《结构与土木工程前沿(英文)》 2008年 第2卷 第3期 页码 226-232 doi: 10.1007/s11709-008-0027-5
关键词: satisfactory processing orientation tomographic diagnosis orientation perpendicular
《机械工程前沿(英文)》 2021年 第16卷 第4期 页码 814-828 doi: 10.1007/s11465-021-0650-6
关键词: bearing cross-severity fault diagnosis hierarchical fault diagnosis convolutional neural network decision tree
《机械工程前沿(英文)》 2022年 第17卷 第3期 doi: 10.1007/s11465-022-0689-z
关键词: surrogate model gas face seal fault diagnosis nonlinear dynamics tribology
Machine learning for fault diagnosis of high-speed train traction systems: A review
《工程管理前沿(英文)》 doi: 10.1007/s42524-023-0256-2
关键词: high-speed train traction systems machine learning fault diagnosis
Pathogenesis, diagnosis, and treatment of recurrent spontaneous abortion with immune type
Qi-De LIN, Li-Hua QIU
《医学前沿(英文)》 2010年 第4卷 第3期 页码 275-279 doi: 10.1007/s11684-010-0101-y
关键词: spontaneous abortion recurrent autoimmune alloimmune pathogenesis diagnosis immunotherapy
Intelligent diagnosis methods for plant machinery
Huaqing WANG, Peng CHEN, Shuming WANG,
《机械工程前沿(英文)》 2010年 第5卷 第1期 页码 118-124 doi: 10.1007/s11465-009-0084-z
关键词: intelligent diagnosis neural network fuzzy algorithm adaptive filtering plant machinery
Gear fault diagnosis using gear meshing stiffness identified by gearbox housing vibration signals
《机械工程前沿(英文)》 2022年 第17卷 第4期 doi: 10.1007/s11465-022-0713-3
关键词: gearbox fault diagnosis meshing stiffness identification transfer path signal processing
Current situation and development of prenatal diagnosis in China
Xu-Ming BIAN, Qi GUO, Qing-Wei QI
《医学前沿(英文)》 2010年 第4卷 第3期 页码 271-274 doi: 10.1007/s11684-010-0100-z
Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning
《机械工程前沿(英文)》 2021年 第16卷 第4期 页码 829-839 doi: 10.1007/s11465-021-0652-4
关键词: imbalanced fault diagnosis graph feature learning rotating machinery autoencoder
Zhonghua Sun
《医学前沿(英文)》 2011年 第5卷 第3期 页码 254-270 doi: 10.1007/s11684-011-0153-7
关键词: cardiovascular disease multislice computed tomography three-dimensional reconstruction diagnosis visualization
Fault diagnosis of axial piston pumps with multi-sensor data and convolutional neural network
《机械工程前沿(英文)》 2022年 第17卷 第3期 doi: 10.1007/s11465-022-0692-4
关键词: axial piston pump fault diagnosis convolutional neural network multi-sensor data fusion
Distributed monitoring and diagnosis system for hydraulic system of construction machinery
Xiaohu CHEN, Wenfeng WU, Hangong WANG, Yongtao ZHOU,
《机械工程前沿(英文)》 2010年 第5卷 第1期 页码 106-110 doi: 10.1007/s11465-009-0089-7
关键词: construction machinery hydraulic system distributed condition monitoring controller area net (CAN) field bus fault diagnosis
New method of fault diagnosis of rotating machinery based on distance of information entropy
Houjun SU, Tielin SHI, Fei CHEN, Shuhong HUANG
《机械工程前沿(英文)》 2011年 第6卷 第2期 页码 249-253 doi: 10.1007/s11465-011-0124-3
This paper introduces the basic conception of information fusion and some fusion diagnosis methods commonly used nowadays in rotating machinery. From the thought of the information fusion, a new quantitative feature index monitoring and diagnosing the vibration fault of rotating machinery, which is called distance of information entropy, is put forward on the basis of the singular spectrum entropy in time domain, power spectrum entropy in frequency domain, wavelet energy spectrum entropy, and wavelet space feature entropy in time-frequency domain. The mathematic deduction suggests that the conception of distance of information entropy is accordant with the maximum subordination principle in the fuzzy theory. Through calculation it has been proved that this method can effectively distinguish different fault types. Then, the accuracy of rotor fault diagnosis can be improved through the curve chart of the distance of information entropy at multi-speed.
关键词: rotating machinery information fusion fault diagnosis Information entropy distance of the information entropy
标题 作者 时间 类型 操作
convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical fault diagnosis
期刊论文
Method for solving the nonlinear inverse problem in gas face seal diagnosis based on surrogate models
期刊论文
Pathogenesis, diagnosis, and treatment of recurrent spontaneous abortion with immune type
Qi-De LIN, Li-Hua QIU
期刊论文
Gear fault diagnosis using gear meshing stiffness identified by gearbox housing vibration signals
期刊论文
Current situation and development of prenatal diagnosis in China
Xu-Ming BIAN, Qi GUO, Qing-Wei QI
期刊论文
Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning
期刊论文
Multislice computed tomography angiography in the diagnosis of cardiovascular disease: 3D visualizations
Zhonghua Sun
期刊论文
Distributed monitoring and diagnosis system for hydraulic system of construction machinery
Xiaohu CHEN, Wenfeng WU, Hangong WANG, Yongtao ZHOU,
期刊论文