Publications

@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}
}

@conference{Gabrielli2020,
title = {A numerical model for NVH analysis of gearboxes employed on agricultural equipment},
author = {Alberto Gabrielli, Francesco Pizzolante, Elia Soave, Mattia Battarra, Cristiano Mazzeo, Marco Tarabra, Enrico Fava, Emiliano Mucchi},
editor = {Proceedings of ISMA 2020 - International Conference on Noise and Vibration Engineering and USD 2020 - International Conference on Uncertainty in Structural Dynamics},
isbn = {978-908289311-3},
year = {2020},
date = {2020-09-07},
booktitle = {2020 International Conference on Noise and Vibration Engineering, ISMA 2020 and 2020 International Conference on Uncertainty in Structural Dynamics, USD 2020},
pages = {3191-3203},
abstract = {The aim of this paper is to describe a numerical vibro-acoustic methodology, experimentally assessed, for the estimation of the overall vibratory and acoustic level of a gearbox employed on agricultural equipment. The process is carried out in order to create the NVH digital twin of the real gearbox. The vibro-acoustic model is the combination of three sub-models: a lumped-parameter (LP) model, a structural finite-element (SFE) model and an acoustical finite-element (AFE) model. The LP model is used to obtain the reaction forces on the bearings during working conditions. Reaction forces are employed as an input for the further SFE dynamic model to evaluate the dynamic response of the gearbox's case, which is the only meshed part. The dynamic response is exploited to set-up an AFE model which allows to estimate the noise generation in terms of overall acoustic pressure. The numerical simulation results are validated using experimental data acquired on a real gearbox. Testing activities have been carried out at Comer Industries facility in Reggiolo, where specimens and test benches have been set. Advantages and limitations of the model are reported.},
keywords = {Battarra M., Fava E., Gabrielli A., Mazzeo C., Mucchi E., Pizzolante F., Soave E., Tarabra M.},
pubstate = {published},
tppubtype = {conference}
}

@article{,
title = {A laser triangulation sensor for vibrational structural analysis and diagnostics},
author = {Soave Elia; D'Elia Gianluca; Mucchi Emiliano},
doi = {10.1177/0020294019877484},
issn = {00202940},
year = {2020},
date = {2020-01-01},
journal = {Measurement and Control (United Kingdom)},
volume = {53},
pages = {73-82},
abstract = {The industrial progress has reached a level in which it is necessary to understand the behavior of mechanical components and to monitor their conditions without disassembling them. Nowadays, a suitable methodology is based on vibrational analysis usually performed through acceleration signals measured directly on the system to be tested. However, in the last years, the industrial scenario has deeply changed due to the need for time reduction, in particular, for the control operations at the end of the productive line. The genuine methods based on acceleration measurements, for example, through piezoelectric accelerometers, came into conflict with the industrial need as the sensors used for the quality control have to be easily and fastly mounted and unmounted. A valid alternative is represented by the exploitation of laser triangulation sensors that are able to measure the dynamic displacement in a contactless way, strongly reducing the (un)mounting time. The target of this paper is to highlight pros and cons of the contactless displacement analysis through laser triangulation sensors with respect to the contact one through genuine accelerometers by means of a comparison between the results obtained both for experimental modal analysis and vibrational diagnostics of rotating machines. © The Author(s) 2020},
keywords = {D'Elia G., Mucchi E., Soave E.},
pubstate = {published},
tppubtype = {article}
}

@article{G2018b,
title = {Development of an Indicator for the Assessment of Damage Level in Rolling Element Bearings Based on Blind Deconvolution Methods},
author = {Buzzoni Marco; Soave Elia; D'Elia Gianluca; Mucchi Emiliano; Dalpiaz Giorgio},
doi = {10.1155/2018/5384358},
year = {2018},
date = {2018-10-10},
journal = {Shock and Vibration},
keywords = {Buzzoni M., D'Elia G., Dalpiaz G., Mucchi E., Soave E.},
pubstate = {published},
tppubtype = {article}
}