2022
|
Soave Elia; D'Elia Gianluca; Cocconcelli Marco; Battarra Mattia Blind deconvolution criterion based on Fourier–Bessel series expansion for rolling element bearing diagnostics (Journal paper) Mechanical Systems and Signal Processing, 169 (108588), 2022, ISSN: 08883270. (Abstract | Links | BibTeX | Tag: Battarra M., Cocconcelli M., D'Elia G., Soave E.) @article{Soave2022,
title = {Blind deconvolution criterion based on Fourier–Bessel series expansion for rolling element bearing diagnostics},
author = {Soave Elia; D'Elia Gianluca; Cocconcelli Marco; Battarra Mattia},
doi = {10.1016/j.ymssp.2021.108588},
issn = {08883270},
year = {2022},
date = {2022-04-15},
journal = {Mechanical Systems and Signal Processing},
volume = {169},
number = {108588},
abstract = {In the last years, Blind Deconvolution methods demonstrated their effectiveness for the diagnostics of rotating machines through the extraction of impulsive signatures directly from noisy observations. Recently, in this scenario the explicit combination between Blind Deconvolution and cyclostationary theory strongly improved the fault detection ability of this diagnostic tool. This work presents a novel criterion based on the Fourier–Bessel series expansion instead of the common Fourier transform. This idea comes from the comparison between the mathematical nature of the Fourier–Bessel and the Fourier series, based on modulated and constant amplitude sinusoidal functions, respectively. The two criteria are compared through the analysis of both simulated and real vibration signals of faulty bearings. The results highlight the ability of the proposed criterion to detect the fault-related source with a lower number of characteristic cyclic frequency harmonics, strongly reducing the computational time required by the algorithm. },
keywords = {Battarra M., Cocconcelli M., D'Elia G., Soave E.},
pubstate = {published},
tppubtype = {article}
}
In the last years, Blind Deconvolution methods demonstrated their effectiveness for the diagnostics of rotating machines through the extraction of impulsive signatures directly from noisy observations. Recently, in this scenario the explicit combination between Blind Deconvolution and cyclostationary theory strongly improved the fault detection ability of this diagnostic tool. This work presents a novel criterion based on the Fourier–Bessel series expansion instead of the common Fourier transform. This idea comes from the comparison between the mathematical nature of the Fourier–Bessel and the Fourier series, based on modulated and constant amplitude sinusoidal functions, respectively. The two criteria are compared through the analysis of both simulated and real vibration signals of faulty bearings. The results highlight the ability of the proposed criterion to detect the fault-related source with a lower number of characteristic cyclic frequency harmonics, strongly reducing the computational time required by the algorithm. |
2020
|
D'Elia Gianluca; Cocconcelli Marco; Strozzi Matteo; Mucchi Emiliano; Dalpiaz Giorgio; Rubini Riccardo Motor current cyclic-non-stationarity analysis for bearing diagnostic (Conference) Proceedings of ISMA 2020 - International Conference on Noise and Vibration Engineering and USD 2020 - International Conference on Uncertainty in Structural Dynamics, 2020, ISBN: 978-908289311-3. (Abstract | BibTeX | Tag: Cocconcelli M., D'Elia G., Dalpiaz G., Mucchi E., Rubini R., Strozzi M.) @conference{D'Elia2020,
title = {Motor current cyclic-non-stationarity analysis for bearing diagnostic},
author = {D'Elia Gianluca; Cocconcelli Marco; Strozzi Matteo; Mucchi Emiliano; Dalpiaz Giorgio; Rubini Riccardo},
editor = {KU Leuven - Departement Werktuigkunde},
isbn = {978-908289311-3},
year = {2020},
date = {2020-09-07},
booktitle = {Proceedings of ISMA 2020 - International Conference on Noise and Vibration Engineering and USD 2020 - International Conference on Uncertainty in Structural Dynamics},
pages = {597 - 607},
abstract = {The Motor Current Signature Analysis (MCSA) is a research area focused on the diagnosis of components of electric motors based on post-processing of the current signal mainly. In particular, the bearing diagnostics is based on two different assumptions: the fault on the bearing causes a vibration of the shaft it supports, so there is an air gap variation between stator and rotor causing a modulation in the current signal; the fault on the bearing hinders the rotation of the shaft, so it can be modeled as an additional loading torque that the motor satisfies increasing the current signal. In this paper, a cyclic-non-stationarity analysis of the motor current is used to assess the status of ball-bearings in servomotors, running at variable speed. Both speed of the motor and motor current are provided by the control loop of the servomotor, that is no external sensors are used. The cyclic nature of the application allows an average of the cyclic-cyclic order maps to increase the signal-to-noise ratio. The proposed technique is successfully applied to both healthy and faulty bearings. },
keywords = {Cocconcelli M., D'Elia G., Dalpiaz G., Mucchi E., Rubini R., Strozzi M.},
pubstate = {published},
tppubtype = {conference}
}
The Motor Current Signature Analysis (MCSA) is a research area focused on the diagnosis of components of electric motors based on post-processing of the current signal mainly. In particular, the bearing diagnostics is based on two different assumptions: the fault on the bearing causes a vibration of the shaft it supports, so there is an air gap variation between stator and rotor causing a modulation in the current signal; the fault on the bearing hinders the rotation of the shaft, so it can be modeled as an additional loading torque that the motor satisfies increasing the current signal. In this paper, a cyclic-non-stationarity analysis of the motor current is used to assess the status of ball-bearings in servomotors, running at variable speed. Both speed of the motor and motor current are provided by the control loop of the servomotor, that is no external sensors are used. The cyclic nature of the application allows an average of the cyclic-cyclic order maps to increase the signal-to-noise ratio. The proposed technique is successfully applied to both healthy and faulty bearings. |
Buzzoni Marco; D'Elia Gianluca; Cocconcelli Marco A tool for validating and benchmarking signal processing techniques applied to machine diagnosis (Journal paper) Mechanical Systems and Signal Processing, 2020. (Links | BibTeX | Tag: Buzzoni M., Cocconcelli M., D'Elia G.) @article{M2020,
title = {A tool for validating and benchmarking signal processing techniques applied to machine diagnosis},
author = {Buzzoni Marco; D'Elia Gianluca; Cocconcelli Marco},
doi = {10.1016/j.ymssp.2020.106618},
year = {2020},
date = {2020-05-07},
journal = {Mechanical Systems and Signal Processing},
keywords = {Buzzoni M., Cocconcelli M., D'Elia G.},
pubstate = {published},
tppubtype = {article}
}
|
2018
|
D'Elia Gianluca; Cocconcelli Marco; Mucchi Emiliano
An algorithm for the simulation of faulted bearings in non-stationary conditions (Journal paper) Meccanica, 2018. (Links | BibTeX | Tag: Cocconcelli M., D'Elia G., Mucchi E.) @article{D'Elia2018,
title = {An algorithm for the simulation of faulted bearings in non-stationary conditions},
author = {D'Elia Gianluca; Cocconcelli Marco; Mucchi Emiliano
},
url = {https://link.springer.com/article/10.1007/s11012-017-0767-1},
doi = {10.1007/s11012-017-0767-1},
year = {2018},
date = {2018-09-27},
journal = {Meccanica},
keywords = {Cocconcelli M., D'Elia G., Mucchi E.},
pubstate = {published},
tppubtype = {article}
}
|
2017
|
D'Elia Gianluca; Cocconcelli Marco; Mucchi Emiliano; Dalpiaz Giorgio
Combining blind separation and cyclostationary techniques for monitoring distributed wear in gearbox rolling bearings (Journal paper) Proceedings of the Institution of Mechanical Engineers. Part C, Journal of Mechanical Engineering Science, 2017. (Links | BibTeX | Tag: Cocconcelli M., D'Elia G., Dalpiaz G., Mucchi E.) @article{D'Elia2017b,
title = {Combining blind separation and cyclostationary techniques for monitoring distributed wear in gearbox rolling bearings},
author = {D'Elia Gianluca; Cocconcelli Marco; Mucchi Emiliano; Dalpiaz Giorgio
},
url = {http://journals.sagepub.com/doi/abs/10.1177/0954406216636165
},
doi = {10.1177/0954406216636165},
year = {2017},
date = {2017-09-14},
journal = {Proceedings of the Institution of Mechanical Engineers. Part C, Journal of Mechanical Engineering Science},
keywords = {Cocconcelli M., D'Elia G., Dalpiaz G., Mucchi E.},
pubstate = {published},
tppubtype = {article}
}
|
Cocconcelli Marco; Troncossi Marco; Mucchi Emiliano; Agazzi Alessandro; Rivola Alessandro; Rubini Riccardo; Dalpiaz Giorgio
Numerical and Experimental Dynamic Analysis of IC Engine Test Beds Equipped with Highly Flexible Couplings (Journal paper) Shock and Vibration, 2017. (Links | BibTeX | Tag: Agazzi A., Cocconcelli M., Dalpiaz G., Mucchi E., Rivola A., Rubini R., Troncossi M.) @article{Cocconcelli2017,
title = {Numerical and Experimental Dynamic Analysis of IC Engine Test Beds Equipped with Highly Flexible Couplings},
author = {Cocconcelli Marco; Troncossi Marco; Mucchi Emiliano; Agazzi Alessandro; Rivola Alessandro; Rubini Riccardo; Dalpiaz Giorgio
},
url = {https://www.hindawi.com/journals/sv/2017/5802702/
},
doi = {10.1155/2017/5802702},
year = {2017},
date = {2017-09-07},
journal = {Shock and Vibration},
keywords = {Agazzi A., Cocconcelli M., Dalpiaz G., Mucchi E., Rivola A., Rubini R., Troncossi M.},
pubstate = {published},
tppubtype = {article}
}
|
D'Elia Gianluca; Mucchi Emiliano; Cocconcelli Marco
On the identification of the angular position of gears for the diagnostics of planetary gearboxes (Journal paper) Mechanical Systems and Signal Processing, 2017. (Links | BibTeX | Tag: Cocconcelli M., D'Elia G., Mucchi E.) @article{D'Elia2017,
title = {On the identification of the angular position of gears for the diagnostics of planetary gearboxes},
author = {D'Elia Gianluca; Mucchi Emiliano; Cocconcelli Marco
},
url = {https://www.sciencedirect.com/science/article/pii/S0888327016301984},
doi = {10.1016/j.ymssp.2016.06.016},
year = {2017},
date = {2017-09-07},
journal = {Mechanical Systems and Signal Processing},
keywords = {Cocconcelli M., D'Elia G., Mucchi E.},
pubstate = {published},
tppubtype = {article}
}
|
2016
|
D’Elia Gianluca; Cocconcelli Marco; Mucchi Emiliano; Rubini Riccardo; Dalpiaz Giorgio
Step-by-step algorithm for the simulation of faulted bearings in non-stationary conditions (Conference) Proceedings of ISMA2016 International Conference on Noise and Vibration Engineering
, 2016. (Links | BibTeX | Tag: Cocconcelli M., D'Elia G., Dalpiaz G., Mucchi E., Rubini R.) @conference{D’Elia2016,
title = {Step-by-step algorithm for the simulation of faulted bearings in non-stationary conditions},
author = {D’Elia Gianluca; Cocconcelli Marco; Mucchi Emiliano; Rubini Riccardo; Dalpiaz Giorgio
},
url = {http://past.isma-isaac.be/isma2016/
},
year = {2016},
date = {2016-09-15},
booktitle = {Proceedings of ISMA2016 International Conference on Noise and Vibration Engineering
},
keywords = {Cocconcelli M., D'Elia G., Dalpiaz G., Mucchi E., Rubini R.},
pubstate = {published},
tppubtype = {conference}
}
|
2015
|
D’Elia Gianluca; Cocconcelli Marco; Mucchi Emiliano; Dalpiaz Giorgio
On the diagnostics of planet gear bearings (Conference) 9th IFToMM International Conference on Rotor Dynamics
, 2015. (Links | BibTeX | Tag: Cocconcelli M., D'Elia G., Dalpiaz G., Mucchi E.) @conference{D’Elia2015,
title = {On the diagnostics of planet gear bearings},
author = {D’Elia Gianluca; Cocconcelli Marco; Mucchi Emiliano; Dalpiaz Giorgio
},
url = {https://www.springer.com/it/book/9783319065892
},
year = {2015},
date = {2015-09-11},
booktitle = {9th IFToMM International Conference on Rotor Dynamics
},
keywords = {Cocconcelli M., D'Elia G., Dalpiaz G., Mucchi E.},
pubstate = {published},
tppubtype = {conference}
}
|
2014
|
Cocconcelli Marco; Agazzi Alessandro; Mucchi Emiliano; Dalpiaz Giorgio; Rubini Riccardo
Dynamic analysis of coupling elements in IC engine test rigs (Conference) Proceedings of ISMA 2014 - International Conference on Noise and Vibration Engineering and USD 2014 - International Conference on Uncertainty in Structural Dynamics
, 2014. (BibTeX | Tag: Agazzi A., Cocconcelli M., Dalpiaz G., Mucchi E., Rubini R.) @conference{Cocconcelli2014b,
title = {Dynamic analysis of coupling elements in IC engine test rigs},
author = {Cocconcelli Marco; Agazzi Alessandro; Mucchi Emiliano; Dalpiaz Giorgio; Rubini Riccardo
},
year = {2014},
date = {2014-09-18},
booktitle = {Proceedings of ISMA 2014 - International Conference on Noise and Vibration Engineering and USD 2014 - International Conference on Uncertainty in Structural Dynamics
},
keywords = {Agazzi A., Cocconcelli M., Dalpiaz G., Mucchi E., Rubini R.},
pubstate = {published},
tppubtype = {conference}
}
|
Cocconcelli Marco; Troncossi Marco; Agazzi Alessandro; Mucchi Emiliano; Rubini Riccardo; Rivola Alessandro; Dalpiaz Giorgio
Improvement of the Dynamic Behaviour of a Test Bed Driveline by Numerical and Experimental Investigations (Conference) Ottava giornata di studio Ettore Funaioli
, 2014. (Links | BibTeX | Tag: Agazzi A., Cocconcelli M., Dalpiaz G., Mucchi E., Rivola A., Rubini R., Troncossi M.) @conference{Cocconcelli2014,
title = {Improvement of the Dynamic Behaviour of a Test Bed Driveline by Numerical and Experimental Investigations},
author = {Cocconcelli Marco; Troncossi Marco; Agazzi Alessandro; Mucchi Emiliano; Rubini Riccardo; Rivola Alessandro; Dalpiaz Giorgio
},
url = {http://amsacta.unibo.it/4301/
},
year = {2014},
date = {2014-09-10},
booktitle = {Ottava giornata di studio Ettore Funaioli
},
keywords = {Agazzi A., Cocconcelli M., Dalpiaz G., Mucchi E., Rivola A., Rubini R., Troncossi M.},
pubstate = {published},
tppubtype = {conference}
}
|
