| Nome |
# |
|
Cable tension estimation by means of vibration response and moving mass technique, file e384c42e-0cff-d4b2-e053-9f05fe0a1d67
|
938
|
|
Dynamics of multi-span continuous straight bridges subject to multi-degrees of freedom moving vehicle excitation, file e384c42e-6635-d4b2-e053-9f05fe0a1d67
|
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
|
|
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
|
296
|
|
ANOVA and other statistical tools for bearing damage detection, file e384c42f-7405-d4b2-e053-9f05fe0a1d67
|
242
|
|
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
|
240
|
|
An illustration of new methods in machine condition monitoring, Part I: Stochastic resonance, file e384c42f-8d7c-d4b2-e053-9f05fe0a1d67
|
202
|
|
External condition removal in bearing diagnostics through EMD and One-Class SVM, file e384c42e-2092-d4b2-e053-9f05fe0a1d67
|
201
|
|
An Illustration of New Methods in Machine Condition Monitoring, Part II: Adaptive outlier detection, file e384c42f-9245-d4b2-e053-9f05fe0a1d67
|
200
|
|
Identification of a Duffing oscillator under different types of excitation., file e384c42e-0d5b-d4b2-e053-9f05fe0a1d67
|
125
|
|
Best parameter choice of Stochastic Resonance to enhance fault signature in bearings, file e384c42f-a4e3-d4b2-e053-9f05fe0a1d67
|
113
|
|
Fault diagnosis of roller bearings using ensemble empirical mode decomposition (EEMD) and support vector machine (SVM), file e384c42e-3528-d4b2-e053-9f05fe0a1d67
|
77
|
|
The Politecnico di Torino rolling bearing test rig: Description and analysis of open access data, file e384c430-5a39-d4b2-e053-9f05fe0a1d67
|
75
|
|
A road bridge dynamic response analysis by wavelet and other estimation techniques, file e384c42f-9230-d4b2-e053-9f05fe0a1d67
|
57
|
|
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
|
|
Nonlinear dynamics of a negative stiffness oscillator: experimental identification and model updating, file e384c432-d1e4-d4b2-e053-9f05fe0a1d67
|
48
|
|
Analytical investigation of railway overhead contact wire dynamics and comparison with experimental results, file e384c432-6890-d4b2-e053-9f05fe0a1d67
|
46
|
|
The Politecnico di Torino rolling bearing test rig: Description and analysis of open access data, file e384c430-5a38-d4b2-e053-9f05fe0a1d67
|
41
|
|
Nonlinear Dynamics of a Duffing-Like Negative Stiffness Oscillator: Modeling and Experimental Characterization, file e384c431-d715-d4b2-e053-9f05fe0a1d67
|
27
|
|
Distributed parameter and finite element models for wave propagation in railway contact lines, file e384c432-7896-d4b2-e053-9f05fe0a1d67
|
25
|
|
Free-Decay Nonlinear System Identification via Mass-Change Scheme, file e384c430-c515-d4b2-e053-9f05fe0a1d67
|
24
|
|
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
|
24
|
|
Experimental Characterization of Friction in a Negative Stiffness Nonlinear Oscillator, file e384c432-029b-d4b2-e053-9f05fe0a1d67
|
22
|
|
Confounding factors analysis and compensation for highspeed bearing diagnostics, file e384c431-2867-d4b2-e053-9f05fe0a1d67
|
21
|
|
Modal contributions and effects of spurious poles in nonlinear subspace identification, file e384c432-488b-d4b2-e053-9f05fe0a1d67
|
21
|
|
Bayesian Model Selection in Nonlinear Subspace Identification, file e384c433-e843-d4b2-e053-9f05fe0a1d67
|
15
|
|
Identification of Nonlinear Damping Using Nonlinear Subspace Method, file e384c434-6b27-d4b2-e053-9f05fe0a1d67
|
14
|
|
Experimental identification of distributed nonlinearities in the modal domain, file e384c431-0564-d4b2-e053-9f05fe0a1d67
|
13
|
|
ON THE USE OF STOCHASTIC RESONANCE FOR FAULT DETECTION IN SPUR GEARBOXES, file e384c432-304c-d4b2-e053-9f05fe0a1d67
|
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
|
11
|
|
ON THE USE OF PCA FOR DIAGNOSTICS VIA NOVELTY DETECTION: INTERPRETATION, PRACTICAL APPLICATION NOTES AND RECOMMENDATION FOR USE, file e384c433-d067-d4b2-e053-9f05fe0a1d67
|
11
|
|
Automatic Nonlinear Subspace Identification Using Clustering Judgment Based on Similarity Filtering, file c6db881c-8083-4533-a0aa-8f646a5ba105
|
10
|
|
The Politecnico di Torino rolling bearing test rig: Description and analysis of open access data, file e384c430-5a37-d4b2-e053-9f05fe0a1d67
|
8
|
|
Nonlinear frequency response curves estimation and stability analysis of randomly excited systems in the subspace framework, file 30679e66-5802-4a24-8e62-cda76bb925e5
|
7
|
|
Modal contributions and effects of spurious poles in nonlinear subspace identification, file e384c42f-a039-d4b2-e053-9f05fe0a1d67
|
5
|
|
Frequency domain convolutional model of a pyroshock plate for qualification of space equipment, file 7d352f09-9dd7-4eb6-b599-34391817487d
|
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
|
|
Identification of Nonlinear Stiffness and Damping Parameters Using a Hybrid Approach, file e384c433-cf50-d4b2-e053-9f05fe0a1d67
|
4
|
|
Nonlinear system identification of a double-well Duffing oscillator with position-dependent friction, file e384c434-6528-d4b2-e053-9f05fe0a1d67
|
4
|
|
Nonlinear system identification of a double-well Duffing oscillator with position-dependent friction, file e384c434-8781-d4b2-e053-9f05fe0a1d67
|
4
|
|
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
|
|
Distributed parameter and finite element models for wave propagation in railway contact lines, file e384c432-5d8b-d4b2-e053-9f05fe0a1d67
|
3
|
|
An investigation into model extrapolation and stability in the system identification of a nonlinear structure, file 88637d74-a857-413e-8899-93d5d5d5e5a2
|
2
|
|
Automatic Nonlinear Subspace Identification Using Clustering Judgment Based on Similarity Filtering, file 9bf9b426-a372-4ff0-93e7-59396c2884c0
|
2
|
|
Covariance-driven subspace identification: A complete input–output approach, file e384c42e-a9d9-d4b2-e053-9f05fe0a1d67
|
2
|
|
Subspace-based identification of a nonlinear spacecraft in the time and frequency domains, file e384c42e-af5f-d4b2-e053-9f05fe0a1d67
|
2
|
|
Experimental identification of distributed nonlinearities in the modal domain, file e384c430-ec62-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
|
|
Nonlinear System Identification Using Audio-Inspired WaveNet Deep Neural Networks, file f7fe9f15-e95d-48a4-9d9d-e9097daec76e
|
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
|
|
Nonlinear System Identification Using Audio-Inspired WaveNet Deep Neural Networks, file 7eac2519-6e03-491d-922c-0d64011c82fc
|
1
|
|
Enhancing Nonlinear Subspace Identification Using Sparse Bayesian Learning with Spike and Slab Priors, file 9291e46d-eb0d-44ed-ab34-19881548a5ed
|
1
|
|
Enhancing Nonlinear Subspace Identification Using Sparse Bayesian Learning with Spike and Slab Priors, file 9ffb8b14-f449-4271-b71e-313d40a7946c
|
1
|
|
Different analysis techniques applied to seismic data from the 1997 Italian earthquake., file e384c42d-deea-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
|
|
Fast Computation of the Autogram for the Detection of Transient Faults, file e384c432-b0f3-d4b2-e053-9f05fe0a1d67
|
1
|
|
Bayesian Model Selection in Nonlinear Subspace Identification, file e384c434-4f2c-d4b2-e053-9f05fe0a1d67
|
1
|
| Totale |
6.110 |
Archivio Istituzionale della Ricerca