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 | 554 | 2001 |
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 | 546 | 2000 |
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 | 402 | 2010 |
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 | 230 | 2009 |
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 | 194 | 2012 |
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 | 147 | 2010 |
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 | 95 | 2008 |
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 | 90 | 2012 |
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 | 69 | 1998 |
Dynamic modeling of gear systems for condition monitoring and diagnostics G Dalpiaz, A Rivola, R Rubini Congress on Technical Diagnostics, 185-192, 1996 | 44 | 1996 |
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 | 38 | 2012 |
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 | 36 | 2016 |
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 | 31 | 2022 |
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 | 31 | 2013 |
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 | 25 | 2011 |
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 | 21 | 2012 |
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 | 19 | 2008 |
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 | 16 | 1997 |
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 | 14 | 2009 |
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 | 13 | 2017 |