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Riccardo Rubini
Riccardo Rubini
Professor of Applied Mechanics, University of Modena and Reggio Emilia
Verified email at unimore.it
Title
Cited by
Cited by
Year
Application of the envelope and wavelet transform analyses for the diagnosis of incipient faults in ball bearings
R Rubini, U Meneghetti
Mechanical systems and signal processing 15 (2), 287-302, 2001
5512001
Effectiveness and sensitivity of vibration processing techniques for local fault detection in gears
G Dalpiaz, A Rivola, R Rubini
Mechanical systems and signal processing 14 (3), 387-412, 2000
5462000
Diagnosis of bearing faults in induction machines by vibration or current signals: A critical comparison
F Immovilli, A Bellini, R Rubini, C Tassoni
IEEE Transactions on Industry Applications 46 (4), 1350-1359, 2010
3982010
Detection of generalized-roughness bearing fault by spectral-kurtosis energy of vibration or current signals
F Immovilli, M Cocconcelli, A Bellini, R Rubini
IEEE Transactions on Industrial Electronics 56 (11), 4710-4717, 2009
2302009
Bearing fault model for induction motor with externally induced vibration
F Immovilli, C Bianchini, M Cocconcelli, A Bellini, R Rubini
IEEE Transactions on Industrial Electronics 60 (8), 3408-3418, 2012
1922012
Fault detection of linear bearings in brushless AC linear motors by vibration analysis
C Bianchini, F Immovilli, M Cocconcelli, R Rubini, A Bellini
IEEE Transactions on Industrial Electronics 58 (5), 1684-1694, 2010
1462010
Diagnosis of bearing faults of induction machines by vibration or current signals: A critical comparison
A Bellini, F Immovilli, R Rubini, C Tassoni
2008 IEEE Industry Applications Society Annual Meeting, 1-8, 2008
942008
STFT based approach for ball bearing fault detection in a varying speed motor
M Cocconcelli, R Zimroz, R Rubini, W Bartelmus
Condition Monitoring of Machinery in Non-Stationary Operations: Proceedings …, 2012
902012
Gear fault monitoring: comparison of vibration analysis techniques
G Dalpiaz, A Rivola, R Rubini
Proceedings of the 3rd International Conference on Acoustical and Vibratory …, 1998
691998
Dynamic modeling of gear systems for condition monitoring and diagnostics
G Dalpiaz, A Rivola, R Rubini
Congress on Technical Diagnostics, 185-192, 1996
431996
An algorithm to diagnose ball bearing faults in servomotors running arbitrary motion profiles
M Cocconcelli, L Bassi, C Secchi, C Fantuzzi, R Rubini
Mechanical Systems and Signal Processing 27, 667-682, 2012
382012
Artificial immune system via Euclidean Distance Minimization for anomaly detection in bearings
L Montechiesi, M Cocconcelli, R Rubini
Mechanical Systems and Signal Processing 76, 380-393, 2016
362016
Detectivity: A combination of Hjorth’s parameters for condition monitoring of ball bearings
M Cocconcelli, M Strozzi, JCC Molano, R Rubini
Mechanical Systems and Signal Processing 164, 108247, 2022
312022
Advances in condition monitoring of machinery in non-stationary operations
G Dalpiaz, R Rubini, G D’Elia, M Cocconcelli, F Chaari, R Zimroz, ...
Proceedings of the third international conference on condition monitoring of …, 2013
312013
Diagnostics of ball bearings in varying-speed motors by means of Artificial Neural Networks
M Cocconcelli, R Rubini, R Zimroz, W Bartelmus
Proceedings of the 8th international conference on condition monitoring and …, 2011
252011
Kurtosis over energy distribution approach for STFT enhancement in ball bearing diagnostics
M Cocconcelli, R Zimroz, R Rubini, W Bartelmus
Condition Monitoring of Machinery in Non-Stationary Operations: Proceedings …, 2012
212012
Diagnosis of mechanical faults by spectral kurtosis energy
A Bellini, M Cocconcelli, F Immovilli, R Rubini
2008 34th Annual Conference of IEEE Industrial Electronics, 3079-3083, 2008
192008
Diagnostics of gear systems using the Spectral Correlation Density of the vibration signal
R Rubini, M Sidahmed
IFAC Proceedings Volumes 30 (18), 971-976, 1997
161997
On the detection of distributed roughness on ball bearings via stator current energy: Experimental results
G Curcuru, M Cocconcelli, F Immovilli, R Rubini
Diagnostyka, 17-21, 2009
142009
Anomaly detection in a cutting tool by k-means clustering and support vector machines
A Lahrache, M Cocconcelli, R Rubini
Diagnostyka 18 (3), 21-29, 2017
132017
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