Nome |
# |
Cable tension estimation by means of vibration response and moving mass technique, file e384c42e-0cff-d4b2-e053-9f05fe0a1d67
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938
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Dynamics of multi-span continuous straight bridges subject to multi-degrees of freedom moving vehicle excitation, file e384c42e-6635-d4b2-e053-9f05fe0a1d67
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574
|
A time-varying inertia pendulum: Analytical modelling and experimental identification, file e384c42e-35cb-d4b2-e053-9f05fe0a1d67
|
550
|
Spectral Kurtosis against SVM for best frequency selection in bearing diagnostics, file e384c42e-0d5c-d4b2-e053-9f05fe0a1d67
|
516
|
Performance Improvement of Ensemble Empirical Mode Decomposition for Roller Bearings Damage Detection, file e384c42d-e1f9-d4b2-e053-9f05fe0a1d67
|
408
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Fault diagnosis of wind turbine gearboxes through on-site measurements and vibrational signal processing, file e384c431-2ecc-d4b2-e053-9f05fe0a1d67
|
371
|
PCA-based detection of damage in time-varying systems., file e384c42e-152c-d4b2-e053-9f05fe0a1d67
|
317
|
Damping effects induced by a mass moving along a pendulum, file e384c42e-3204-d4b2-e053-9f05fe0a1d67
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296
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Using Unbiased Autocorrelation to Enhance Kurtogram and Envelope Analysis Results for Rolling Element Bearing Diagnostics, file e384c42f-7752-d4b2-e053-9f05fe0a1d67
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261
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ANOVA and other statistical tools for bearing damage detection, file e384c42f-7405-d4b2-e053-9f05fe0a1d67
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242
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A novel feature extraction for anomaly detection of roller bearings based on performance improved Ensemble Empirical Mode Decomposition and Teager-Kaiser energy operator, file e384c42d-e38c-d4b2-e053-9f05fe0a1d67
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240
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An illustration of new methods in machine condition monitoring, Part I: Stochastic resonance, file e384c42f-8d7c-d4b2-e053-9f05fe0a1d67
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202
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External condition removal in bearing diagnostics through EMD and One-Class SVM, file e384c42e-2092-d4b2-e053-9f05fe0a1d67
|
201
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An Illustration of New Methods in Machine Condition Monitoring, Part II: Adaptive outlier detection, file e384c42f-9245-d4b2-e053-9f05fe0a1d67
|
200
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Best parameter choice of Stochastic Resonance to enhance fault signature in bearings, file e384c42f-a4e3-d4b2-e053-9f05fe0a1d67
|
113
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Fault diagnosis of roller bearings using ensemble empirical mode decomposition (EEMD) and support vector machine (SVM), file e384c42e-3528-d4b2-e053-9f05fe0a1d67
|
77
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The Politecnico di Torino rolling bearing test rig: Description and analysis of open access data, file e384c430-5a39-d4b2-e053-9f05fe0a1d67
|
74
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Interpretation and generalization of complexity pursuit for the blind separation of modal contributions, file e384c42f-26cb-d4b2-e053-9f05fe0a1d67
|
62
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A road bridge dynamic response analysis by wavelet and other estimation techniques, file e384c42f-9230-d4b2-e053-9f05fe0a1d67
|
57
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Gearbox damage identification and quantification using stochastic resonance, file e384c432-321a-d4b2-e053-9f05fe0a1d67
|
56
|
Big Data management: A Vibration Monitoring point of view, file e384c432-6717-d4b2-e053-9f05fe0a1d67
|
54
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Nonlinear dynamics of a negative stiffness oscillator: experimental identification and model updating, file e384c432-d1e4-d4b2-e053-9f05fe0a1d67
|
48
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Analytical investigation of railway overhead contact wire dynamics and comparison with experimental results, file e384c432-6890-d4b2-e053-9f05fe0a1d67
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46
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The Politecnico di Torino rolling bearing test rig: Description and analysis of open access data, file e384c430-5a38-d4b2-e053-9f05fe0a1d67
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41
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Machine vibration monitoring for diagnostics through hypothesis testing, file e384c430-e98c-d4b2-e053-9f05fe0a1d67
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39
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GA-Adaptive Template Matching for Offline Shape Motion Tracking Based on Edge Detection: IAS Estimation from the SURVISHNO 2019 Challenge Video for Machine Diagnostics Purposes, file e384c431-9c3b-d4b2-e053-9f05fe0a1d67
|
37
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Analysis of autogram performance for rolling element bearing diagnosis by using different data sets, file e384c431-f7c1-d4b2-e053-9f05fe0a1d67
|
34
|
Nonlinear Dynamics of a Duffing-Like Negative Stiffness Oscillator: Modeling and Experimental Characterization, file e384c431-d715-d4b2-e053-9f05fe0a1d67
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27
|
Performance of Envelope Demodulation for Bearing Damage Detection on {CWRU} Accelerometric Data: Kurtogram and Traditional Indicators vs. Targeted a Posteriori Band Indicators, file e384c433-b515-d4b2-e053-9f05fe0a1d67
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24
|
Diagnosis of Faulty Wind Turbine Bearings Using Tower Vibration Measurements, file e384c431-bf49-d4b2-e053-9f05fe0a1d67
|
23
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Confounding factors analysis and compensation for highspeed bearing diagnostics, file e384c431-2867-d4b2-e053-9f05fe0a1d67
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21
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Modal contributions and effects of spurious poles in nonlinear subspace identification, file e384c432-488b-d4b2-e053-9f05fe0a1d67
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21
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From Novelty Detection to a Genetic Algorithm Optimized Classification for the Diagnosis of a SCADA-Equipped Complex Machine, file e384c434-a4c2-d4b2-e053-9f05fe0a1d67
|
20
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Turbomolecular high-vacuum pump bearings diagnostics using temperature and vibration measurements, file e384c433-fc12-d4b2-e053-9f05fe0a1d67
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19
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Least squares smoothed k-nearest neighbors online prediction of the remaining useful life of a NASA turbofan, file 691efff5-4e99-476d-8b37-d86833434a43
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17
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Key-Phase-Free Blade Tip-Timing for Nonstationary Test Conditions: An Improved Algorithm for the Vibration Monitoring of a SAFRAN Turbomachine from the Surveillance 9 International Conference Contest, file e384c434-0375-d4b2-e053-9f05fe0a1d67
|
16
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Vibration monitoring of a hydroelectric power generation unit: Improved indicators of rotor health based on orbital analysis, file 6d8b0a6c-c294-49a9-97d7-aa339e69a382
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14
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ON THE USE OF STOCHASTIC RESONANCE FOR FAULT DETECTION IN SPUR GEARBOXES, file e384c432-304c-d4b2-e053-9f05fe0a1d67
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13
|
Identification of nonlinear vibrating structures by polynomial expansion in the z-domain, file e384c432-8b20-d4b2-e053-9f05fe0a1d67
|
11
|
Fast Computation of the Autogram for the Detection of Transient Faults, file e384c432-9546-d4b2-e053-9f05fe0a1d67
|
11
|
ON THE USE OF PCA FOR DIAGNOSTICS VIA NOVELTY DETECTION: INTERPRETATION, PRACTICAL APPLICATION NOTES AND RECOMMENDATION FOR USE, file e384c433-aaba-d4b2-e053-9f05fe0a1d67
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11
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ON THE USE OF PCA FOR DIAGNOSTICS VIA NOVELTY DETECTION: INTERPRETATION, PRACTICAL APPLICATION NOTES AND RECOMMENDATION FOR USE, file e384c433-d067-d4b2-e053-9f05fe0a1d67
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11
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Condition monitoring of wind turbine gearboxes through on-site measurement and vibration analysis techniques, file e384c432-8154-d4b2-e053-9f05fe0a1d67
|
10
|
Numerical Modeling of a Pyroshock Test Plate for Qualification of Space Equipment, file 6ea80712-9c02-4cd2-82a7-c70ba007fadf
|
8
|
The Politecnico di Torino rolling bearing test rig: Description and analysis of open access data, file e384c430-5a37-d4b2-e053-9f05fe0a1d67
|
8
|
Dimensionality Reduction Methods of a Clustered Dataset for the Diagnosis of a SCADA-Equipped Complex Machine, file 961e163b-217a-470b-8ee3-fc6ac2568883
|
7
|
Interpretation and generalization of complexity pursuit for the blind separation of modal contributions, file e384c42f-266e-d4b2-e053-9f05fe0a1d67
|
7
|
Multi-Scale Wind Turbine Bearings Supervision Techniques Using Industrial SCADA and Vibration Data, file e384c433-ce91-d4b2-e053-9f05fe0a1d67
|
6
|
Numerical Study of the Bond Strength Evolution of Corroded Reinforcement in Concrete in Pull‐Out Tests, file e384c434-6ddd-d4b2-e053-9f05fe0a1d67
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6
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Modal contributions and effects of spurious poles in nonlinear subspace identification, file e384c42f-a039-d4b2-e053-9f05fe0a1d67
|
5
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On pyroshock tests for aerospace equipment qualification: A comprehensive parametric model for the simulation and the design of pyroshock test facilities, file 0149e5b5-de17-4073-be0b-590e115f5241
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4
|
Books Trimmer Industrial Machine Knives Diagnosis: A Condition-Based Maintenance Strategy Through Vibration Monitoring via Novelty Detection, file 423bb7ed-d5ef-409e-ade3-91c8760efdad
|
4
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Frequency domain convolutional model of a pyroshock plate for qualification of space equipment, file 7d352f09-9dd7-4eb6-b599-34391817487d
|
4
|
PCA-based techniques for detecting cracked rotating shafts including the effects of temperature variations, file e384c42e-281b-d4b2-e053-9f05fe0a1d67
|
4
|
Analytical investigation of railway overhead contact wire dynamics and comparison with experimental results, file e384c432-321b-d4b2-e053-9f05fe0a1d67
|
4
|
Anomaly Detection in a Reactor Coolant Pump Flywheel System via Pulse Shape Analysis, file e384c432-3682-d4b2-e053-9f05fe0a1d67
|
4
|
Identification of nonlinear vibrating structures by polynomial expansion in the z-domain, file e384c432-68f5-d4b2-e053-9f05fe0a1d67
|
4
|
A cointegration-based monitoring method for rolling bearings working in time-varying operational conditions, file e384c432-ff3d-d4b2-e053-9f05fe0a1d67
|
4
|
Separation and identification of structural modes in largely underdetermined scenarios using frequency banding, file e384c433-a110-d4b2-e053-9f05fe0a1d67
|
4
|
Numerical Modeling of a Pyroshock Test Plate for Qualification of Space Equipment, file 4feced5d-05a3-4580-9a7b-148127e864b3
|
3
|
Early damage detection of roller bearings using wavelet packet decomposition, ensemble empirical mode decomposition and support vector machine, file e384c42e-3275-d4b2-e053-9f05fe0a1d67
|
3
|
Influence of stopping criterion for sifting process of Empirical Mode Decomposition technique (EMD) on roller bearing fault diagnosis, file e384c42e-9a21-d4b2-e053-9f05fe0a1d67
|
3
|
A time-varying inertia pendulum: Analytical modelling and experimental identification, file e384c42e-aef7-d4b2-e053-9f05fe0a1d67
|
3
|
Condition monitoring and state classification of gearboxes using stochastic resonance and hidden Markov models, file e384c432-3217-d4b2-e053-9f05fe0a1d67
|
3
|
Wind turbine drive-train condition monitoring through tower vibrations measurement and processing, file 764a2039-e412-447e-b3e9-f7530109c1f2
|
2
|
Covariance-driven subspace identification: A complete input–output approach, file e384c42e-a9d9-d4b2-e053-9f05fe0a1d67
|
2
|
Analysis of autogram performance for rolling element bearing diagnosis by using different data sets, file e384c431-f7be-d4b2-e053-9f05fe0a1d67
|
2
|
Fault Diagnosis in Flywheels: Case Study of a Reaction Wheel Dynamic System with Bearing Imperfections, file e384c432-6880-d4b2-e053-9f05fe0a1d67
|
2
|
Big Data management: A Vibration Monitoring point of view, file e384c432-8041-d4b2-e053-9f05fe0a1d67
|
2
|
Improvements of the pantograph-catenary interaction: numerical simulations and experimental tests on the Italian high-speed overhead contact line, file 22c97612-2a6f-4502-b89b-ce040351d043
|
1
|
A study on the optimal spatial damping distribution in railway pantograph-catenary interaction, file 4acc23c0-d150-4717-9ac4-d49f42316dae
|
1
|
Least squares smoothed k-nearest neighbors online prediction of the remaining useful life of a NASA turbofan, file ce1ecec4-fe4f-4f6a-bddc-7d2c5e6bbbaa
|
1
|
Different analysis techniques applied to seismic data from the 1997 Italian earthquake., file e384c42d-deea-d4b2-e053-9f05fe0a1d67
|
1
|
Natural frequencies and dampings identification using wavelet transform: application to real data, file e384c42d-eda9-d4b2-e053-9f05fe0a1d67
|
1
|
Dynamics of multi-span continuous straight bridges subject to multi-degrees of freedom moving vehicle excitation, file e384c42d-f423-d4b2-e053-9f05fe0a1d67
|
1
|
Experimental modal analysis of an aeronautical engine component, file e384c42d-fde7-d4b2-e053-9f05fe0a1d67
|
1
|
Automatic damage identification of roller bearings and effects of sifting stop criterion of IMFs, file e384c42f-a6bd-d4b2-e053-9f05fe0a1d67
|
1
|
Blind separation of structural modes in largely underdetermined cases using a principle of near-invariance under filtration, file e384c42f-ed3e-d4b2-e053-9f05fe0a1d67
|
1
|
Vortex induced vibration analysis of a cylinder mounted on a flexible rod, file e384c431-22f3-d4b2-e053-9f05fe0a1d67
|
1
|
Fast Computation of the Autogram for the Detection of Transient Faults, file e384c432-b0f3-d4b2-e053-9f05fe0a1d67
|
1
|
Totale |
6.442 |