Works matching DE "ROTATING machinery"
Results: 1412
A multisensory time-frequency features fusion method for rotating machinery fault diagnosis under nonstationary case.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 7, p. 3197, doi. 10.1007/s10845-023-02198-x
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Label propagation-based unsupervised domain adaptation for intelligent fault diagnosis.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 7, p. 3131, doi. 10.1007/s10845-023-02186-1
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Unified discriminant manifold learning for rotating machinery fault diagnosis.
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- Journal of Intelligent Manufacturing, 2023, v. 34, n. 8, p. 3483, doi. 10.1007/s10845-022-02011-1
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Few-shot fault diagnosis of rotating machinery with two-branch prototypical networks.
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- Journal of Intelligent Manufacturing, 2023, v. 34, n. 4, p. 1667, doi. 10.1007/s10845-021-01904-x
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- Article
Deep graph feature learning-based diagnosis approach for rotating machinery using multi-sensor data.
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- Journal of Intelligent Manufacturing, 2023, v. 34, n. 4, p. 1965, doi. 10.1007/s10845-021-01884-y
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Conditions for the existence and stability of the regime of type 0/1 for an excited unbalanced rotor.
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- PAMM: Proceedings in Applied Mathematics & Mechanics, 2016, v. 16, n. 1, p. 261, doi. 10.1002/pamm.201610119
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Comparison of measured and calculated eigenmodes for squirrel cage rotors using methods of design of experiments.
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- PAMM: Proceedings in Applied Mathematics & Mechanics, 2014, v. 14, n. 1, p. 193, doi. 10.1002/pamm.201410084
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PCA-based fault isolation and prognosis with application to pump.
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- International Journal of Advanced Manufacturing Technology, 2011, v. 55, n. 5-8, p. 699, doi. 10.1007/s00170-010-3096-2
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- Article
Topology optimization applied to the development of small scale pump.
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- Structural & Multidisciplinary Optimization, 2018, v. 57, n. 5, p. 2045, doi. 10.1007/s00158-018-1966-7
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- Article
Structural topology optimization under rotating load.
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- Structural & Multidisciplinary Optimization, 2016, v. 53, n. 4, p. 847, doi. 10.1007/s00158-015-1356-3
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Studying the weak effect of particle friction on the velocity profile of steady dry granular flows in a rotating drum.
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- Granular Matter, 2015, v. 17, n. 6, p. 717, doi. 10.1007/s10035-015-0592-y
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Study on Prediction Methods for the Fault State of Rotating Machinery Based on Dynamic Grey Model and Metabolism Grey Model.
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- Wireless Personal Communications, 2018, v. 102, n. 4, p. 3615, doi. 10.1007/s11277-018-5395-0
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基于云模型与 LSTM算法的旋转机械故障诊断研究.
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- Machine Tool & Hydraulics, 2023, v. 51, n. 19, p. 223, doi. 10.3969/j.issn.1001-3881.2023.19.034
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基于卷积残差共享权值 LSTM 的旋转机械故障诊断.
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- Machine Tool & Hydraulics, 2023, v. 51, n. 16, p. 215, doi. 10.3969/j.issn.1001-3881.2023.16.032
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基于时域和谱峭度特征融合及指数模型的滚动轴承 RUL 预测.
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- Machine Tool & Hydraulics, 2023, v. 51, n. 10, p. 203, doi. 10.3969/j.issn.1001-3881.2023.10.035
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AN EMPIRICAL STUDY ON SECOND ORDER ROTATABLE DESIGNS UNDER INTRA CLASS CORRELATED STRUCTURE OF ERRORS USING A PAIR OF BALANCED INCOMPLETE BLOCK DESIGNS.
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- International Journal of Agricultural & Statistical Sciences, 2018, v. 14, n. 2, p. 775
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Unsteady Aerodynamic Parameter Estimation for Multirotor Helicopters.
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- Transactions of the Japan Society of Aeronautical & Space Science, 2018, v. 61, n. 6, p. 32, doi. 10.2322/tjsass.62.32
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- Article
Short-Sampled Blind Source Separation of Rotating Machinery Signals Based on Spectrum Correction.
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- Shock & Vibration, 2016, p. 1, doi. 10.1155/2016/9564938
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An Approach to Fault Diagnosis for Gearbox Based on Image Processing.
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- Shock & Vibration, 2016, p. 1, doi. 10.1155/2016/5898052
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A Fault Diagnosis Model Based on LCD-SVD-ANN-MIV and VPMCD for Rotating Machinery.
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- Shock & Vibration, 2016, p. 1, doi. 10.1155/2016/5141564
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Vibration Signal Forecasting on Rotating Machinery by means of Signal Decomposition and Neurofuzzy Modeling.
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- Shock & Vibration, 2016, p. 1, doi. 10.1155/2016/2683269
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Bearing Fault Diagnosis Based on Deep Belief Network and Multisensor Information Fusion.
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- Shock & Vibration, 2016, p. 1, doi. 10.1155/2016/9306205
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- Article
A New Feature Extraction Technique Based on 1D Local Binary Pattern for Gear Fault Detection.
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- Shock & Vibration, 2016, p. 1, doi. 10.1155/2016/8538165
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- Article
Fault Diagnosis of Rotating Machinery Based on Adaptive Stochastic Resonance and AMD-EEMD.
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- Shock & Vibration, 2016, p. 1, doi. 10.1155/2016/9278581
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Rotating Machine Fault Diagnosis Based on Optimal Morphological Filter and Local Tangent Space Alignment.
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- Shock & Vibration, 2015, v. 2015, p. 1, doi. 10.1155/2015/893504
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Performance Analysis of Wind-Induced Piezoelectric Vibration Bimorph Cantilever for Rotating Machinery.
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- Shock & Vibration, 2015, v. 2015, p. 1, doi. 10.1155/2015/216353
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The Hybrid KICA-GDA-LSSVM Method Research on Rolling Bearing Fault Feature Extraction and Classification.
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- Shock & Vibration, 2015, v. 2015, p. 1, doi. 10.1155/2015/512163
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- Article
Rotordynamic Evaluation of Full Scale Rotor on Tilting Pad Bearings with 0.1 and 0.3 Preload.
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- Shock & Vibration, 2014, p. 1, doi. 10.1155/2014/314892
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- Article
Nonlinear dynamical analysis on four semi-active dynamic vibration absorbers with time delay.
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- Shock & Vibration, 2013, v. 20, n. 4, p. 649, doi. 10.1155/2013/345710
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Modeling and identification of electromagnetic actuator for the control of rotating machinery.
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- Shock & Vibration, 2013, v. 20, n. 1, p. 171, doi. 10.1155/2013/473072
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Gearbox vibration signal amplitude and frequency modulation.
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- Shock & Vibration, 2012, v. 19, n. 4, p. 635, doi. 10.1155/2012/839420
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Time-varying total stiffness matrix of a rigid machine spindle-angular contact ball bearings assembly: Theory and analytical/experimental verifications.
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- Shock & Vibration, 2011, v. 18, n. 5, p. 641, doi. 10.1155/2011/941027
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Application of SVM and SVD technique based on EMD to the fault diagnosis of the rotating machinery.
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- Shock & Vibration, 2009, v. 16, n. 1, p. 89, doi. 10.1155/2009/519502
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A new fault diagnosis method of rotating machinery.
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- Shock & Vibration, 2008, v. 15, n. 6, p. 585, doi. 10.1155/2008/203621
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Machine Learning-based Predictive Maintenance for Fault Detection in Rotating Machinery: A Case Study.
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- Engineering, Technology & Applied Science Research, 2024, v. 14, n. 2, p. 13181, doi. 10.48084/etasr.6813
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Selection Criteria for Evaluating Predictive Maintenance Techniques for Rotating Machinery using the Analytic Hierarchical Process (AHP).
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- Engineering, Technology & Applied Science Research, 2024, v. 14, n. 1, p. 13058, doi. 10.48084/etasr.6816
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Fault Diagnosis of Rotating Machinery based on the Minutiae Algorithm.
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- Engineering, Technology & Applied Science Research, 2023, v. 13, n. 5, p. 11649, doi. 10.48084/etasr.6175
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- Article
Fault diagnosis of printing press bearing based on deformable convolution residual neural network.
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- Networks & Heterogeneous Media, 2023, v. 18, n. 2, p. 1, doi. 10.3934/nhm.2023027
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- Article
The Experimental Analysis of Vibration Monitoring in System Rotor Dynamic with Validate Results Using Simulation Data.
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- ISRN Mechanical Engineering, 2012, p. 1, doi. 10.5402/2012/981010
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- Article
Novel Approach to Rotating Machinery Diagnostics Based on Principal Component and Residual Matrix Analysis.
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- ISRN Mechanical Engineering, 2012, p. 1, doi. 10.5402/2012/715893
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- Article
THERMAL AND RADIATION STABILITY OF ALKYD BASED COATINGS USED AS INSULATORS IN THE ELECTRICAL ROTATING MACHINES.
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- Journal of Science & Arts, 2017, v. 17, n. 1, p. 119
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- Article
Establishing the Mathematical Relation between the Rotor Radius and the Height of the Rotating Piston for a Rotating Machine with Profiled Rotors.
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- Hidraulica, 2020, n. 1, p. 64
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- Article
Influence of the Rotating Piston Shape on the Flow Rate of a New Type of Rotating Working Machine.
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- Hidraulica, 2018, v. 13, n. 4, p. 48
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Operating Equations of a Rotating Machine that Drives Fluids.
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- Hidraulica, 2018, n. 3, p. 6
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- Article
Kinematic and Dynamic Irregularities of Roller Pumps Part І. Modeling of Kinematic and Dynamic Irregularities.
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- Hidraulica, 2015, n. 1, p. 52
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- Article
On the tilting‐pad thrust bearings hydrodynamic lubrication under combined numerical and machine learning techniques.
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- Lubrication Science, 2021, v. 33, n. 3, p. 153, doi. 10.1002/ls.1535
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- Article
Digital Twin for rotating machinery fault diagnosis in smart manufacturing.
- Published in:
- International Journal of Production Research, 2019, v. 57, n. 12, p. 3920, doi. 10.1080/00207543.2018.1552032
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- Article
SIGNAL PROCESSING WAVELET TECHNIQUES IN VIBRATION ANALYSIS.
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- Annals (Constanţa Maritime University), 2009, v. 10, n. 12, p. 131
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- Article
Intelligent Prognostics of Degradation Trajectories for Rotating Machinery Based on Asymmetric Penalty Sparse Decomposition Model.
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- Symmetry (20738994), 2018, v. 10, n. 6, p. 214, doi. 10.3390/sym10060214
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- Article
A Fault Feature Extraction Method for Motor Bearing and Transmission Analysis.
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- Symmetry (20738994), 2017, v. 9, n. 5, p. 60, doi. 10.3390/sym9050060
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- Article