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Application of Uncertainty Reasoning Theory to Satellite Fault Detection and Diagnosis
Yang Tianshe,Li Huaizu,Cao Yuping
Strategic Study of CAE 2003, Volume 5, Issue 2, Pages 68-74
Keywords: satellite fault detection diagnosis uncertainty reasoning theory
Multiple fault separation and detection by joint subspace learning for the health assessment of wind
Zhaohui DU, Xuefeng CHEN, Han ZHANG, Yanyang ZI, Ruqiang YAN
Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3, Pages 333-347 doi: 10.1007/s11465-017-0435-0
Keywords: joint subspace learning multiple fault diagnosis sparse decomposition theory coupling feature separation
Machine learning for fault diagnosis of high-speed train traction systems: A review
Frontiers of Engineering Management doi: 10.1007/s42524-023-0256-2
Keywords: high-speed train traction systems machine learning fault diagnosis
Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4, Pages 814-828 doi: 10.1007/s11465-021-0650-6
Keywords: bearing cross-severity fault diagnosis hierarchical fault diagnosis convolutional neural network
Gear fault diagnosis using gear meshing stiffness identified by gearbox housing vibration signals
Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0713-3
Keywords: gearbox fault diagnosis meshing stiffness identification transfer path signal processing
New method of fault diagnosis of rotating machinery based on distance of information entropy
Houjun SU, Tielin SHI, Fei CHEN, Shuhong HUANG
Frontiers of Mechanical Engineering 2011, Volume 6, Issue 2, Pages 249-253 doi: 10.1007/s11465-011-0124-3
This paper introduces the basic conception of information fusion and some fusion diagnosis methodsof the information fusion, a new quantitative feature index monitoring and diagnosing the vibration faultThrough calculation it has been proved that this method can effectively distinguish different fault typesThen, the accuracy of rotor fault diagnosis can be improved through the curve chart of the distance of
Keywords: rotating machinery information fusion fault diagnosis Information entropy distance of the information
Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning
Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4, Pages 829-839 doi: 10.1007/s11465-021-0652-4
Keywords: imbalanced fault diagnosis graph feature learning rotating machinery autoencoder
Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0673-7
Keywords: deep reinforcement learning hyper parameter optimization convolutional neural network fault diagnosis
Fault diagnosis of axial piston pumps with multi-sensor data and convolutional neural network
Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0692-4
Keywords: axial piston pump fault diagnosis convolutional neural network multi-sensor data fusion
Vibration Fault Diagnosis for Large Scale Steam Turbine Sets
Yu Wenhu,Song bin
Strategic Study of CAE 2001, Volume 3, Issue 1, Pages 44-50
This paper describes the development of vibration fault diagnosis for steam turbines being used inThe problems of vibration fault diagnosis research work are also pointed out.Importance to knowledge scope of diagnosis and the research of the amplitude and phase transfer characteristicSystem of performance and vibration remote monitoring and diagnosis for large-scale steam turbine setsFinally, this paper presents the develop trends of vibration fault diagnosis for steam turbines
Keywords: steam turbine sets fault diagnosis vibration performance diagnosis
Frontiers in Energy 2023, Volume 17, Issue 4, Pages 527-544 doi: 10.1007/s11708-023-0880-x
Keywords: fault detection unary classification self-supervised representation learning multivariate nonlinear
Iterative HOEO fusion strategy: a promising tool for enhancing bearing fault feature
Frontiers of Mechanical Engineering 2023, Volume 18, Issue 1, doi: 10.1007/s11465-022-0725-z
Keywords: higher order energy operator fault diagnosis manifold learning rolling element bearing information
Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0689-z
Keywords: surrogate model gas face seal fault diagnosis nonlinear dynamics tribology
Basic research on machinery fault diagnostics: Past, present, and future trends
Xuefeng CHEN, Shibin WANG, Baijie QIAO, Qiang CHEN
Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2, Pages 264-291 doi: 10.1007/s11465-018-0472-3
Machinery fault diagnosis has progressed over the past decades with the evolution of machineries inHigh-value machineries require condition monitoring and fault diagnosis to guarantee their designed functionsdiagnosis in terms of four main aspects: Fault mechanism, sensor technique and signal acquisition, signalOn the basis of the review of basic theory of machinery fault diagnosis and its practical applicationsdiagnosis.
Keywords: fault diagnosis fault mechanism feature extraction signal processing intelligent diagnostics
Xin ZHANG, Tao HUANG, Bo WU, Youmin HU, Shuai HUANG, Quan ZHOU, Xi ZHANG
Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2, Pages 340-352 doi: 10.1007/s11465-021-0629-3
Keywords: fault intelligent diagnosis deep learning deep convolutional neural network high-dimensional samples
Title Author Date Type Operation
Application of Uncertainty Reasoning Theory to Satellite Fault Detection and Diagnosis
Yang Tianshe,Li Huaizu,Cao Yuping
Journal Article
Multiple fault separation and detection by joint subspace learning for the health assessment of wind
Zhaohui DU, Xuefeng CHEN, Han ZHANG, Yanyang ZI, Ruqiang YAN
Journal Article
Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical faultdiagnosis of bearings
Journal Article
Gear fault diagnosis using gear meshing stiffness identified by gearbox housing vibration signals
Journal Article
New method of fault diagnosis of rotating machinery based on distance of information entropy
Houjun SU, Tielin SHI, Fei CHEN, Shuhong HUANG
Journal Article
Imbalanced fault diagnosis of rotating machinery using autoencoder-based SuperGraph feature learning
Journal Article
A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis
Journal Article
Fault diagnosis of axial piston pumps with multi-sensor data and convolutional neural network
Journal Article
Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and
Journal Article
Iterative HOEO fusion strategy: a promising tool for enhancing bearing fault feature
Journal Article
Method for solving the nonlinear inverse problem in gas face seal diagnosis based on surrogate models
Journal Article
Basic research on machinery fault diagnostics: Past, present, and future trends
Xuefeng CHEN, Shibin WANG, Baijie QIAO, Qiang CHEN
Journal Article