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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
Intelligent fault diagnostic system based on RBR for the gearbox of rolling mills
Lixin GAO, Lijuan WU, Yan WANG, Houpei WEI, Hui YE
Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4, Pages 483-490 doi: 10.1007/s11465-010-0118-6
Keywords: rule-based reasoning fault diagnosis intelligent system gear box
Digital twin-assisted gearbox dynamic model updating toward fault diagnosis
Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-023-0748-0
Keywords: digital twin gearbox model construction model updating physical–virtual interaction
Fault diagnosis of spur gearbox based on random forest and wavelet packet decomposition
Diego CABRERA,Fernando SANCHO,René-Vinicio SÁNCHEZ,Grover ZURITA,Mariela CERRADA,Chuan LI,Rafael E. VÁSQUEZ
Frontiers of Mechanical Engineering 2015, Volume 10, Issue 3, Pages 277-286 doi: 10.1007/s11465-015-0348-8
This paper addresses the development of a random forest classifier for the multi-class fault diagnosis
Keywords: fault diagnosis spur gearbox wavelet packet decomposition random forest
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
The gearbox of a wind turbine (WT) has dominant failure rates and highest downtime loss among allThus, gearbox health assessment for maintenance cost reduction is of paramount importance.The concurrence of multiple faults in gearbox components is a common phenomenon due to fault inductionHowever, most of the existing studies focusing on multiple fault diagnosis always suffer from inappropriateand verified by the analysis of a data set of a 750 kW WT gearbox.
Keywords: joint subspace learning multiple fault diagnosis sparse decomposition theory coupling feature separation wind turbine gearbox
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
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
Tacholess order-tracking approach for wind turbine gearbox fault detection
Yi WANG, Yong XIE, Guanghua XU, Sicong ZHANG, Chenggang HOU
Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3, Pages 427-439 doi: 10.1007/s11465-017-0452-z
Keywords: wind turbine variable-speed operating conditions Vold-Kalman filtering tacholess order tracking
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
Yun KONG, Tianyang WANG, Zheng LI, Fulei CHU
Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3, Pages 406-419 doi: 10.1007/s11465-017-0419-0
Planetary transmission plays a vital role in wind turbine drivetrains, and its fault diagnosis hassense, the periodic impulsive components induced by a localized defect are hard to extract, and the faultAiming to extract the fault feature of planet gear effectively, we propose a novel feature extractionThe experimental signals collected from the wind turbine gearbox test rig demonstrate that the proposedmethod is effective at the feature extraction and fault diagnosis for the planet gear with a localized
Keywords: wind turbine planet gear fault feature extraction spectral kurtosis time wavelet energy spectrum
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
Weak characteristic information extraction from early fault of wind turbine generator gearbox
Xiaoli XU, Xiuli LIU
Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3, Pages 357-366 doi: 10.1007/s11465-017-0423-4
Given the weak early degradation characteristic information during early fault evolution in gearboxsignificantly weaken signal noise, effectively extract the weak characteristic information of early fault, and facilitate the early fault warning and dynamic predictive maintenance.
Keywords: wind turbine generator gearbox µ-singular value decomposition local mean decomposition weak characteristicinformation extraction early fault warning
Title Author Date Type Operation
Gear fault diagnosis using gear meshing stiffness identified by gearbox housing vibration signals
Journal Article
Intelligent fault diagnostic system based on RBR for the gearbox of rolling mills
Lixin GAO, Lijuan WU, Yan WANG, Houpei WEI, Hui YE
Journal Article
Fault diagnosis of spur gearbox based on random forest and wavelet packet decomposition
Diego CABRERA,Fernando SANCHO,René-Vinicio SÁNCHEZ,Grover ZURITA,Mariela CERRADA,Chuan LI,Rafael E. VÁSQUEZ
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
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
Tacholess order-tracking approach for wind turbine gearbox fault detection
Yi WANG, Yong XIE, Guanghua XU, Sicong ZHANG, Chenggang HOU
Journal Article
Fault diagnosis of axial piston pumps with multi-sensor data and convolutional neural network
Journal Article
Fault feature extraction of planet gear in wind turbine gearbox based on spectral kurtosis and time wavelet
Yun KONG, Tianyang WANG, Zheng LI, Fulei CHU
Journal Article