Author:
Cocconcelli Marco,D’Elia Gianluca,Strozzi Matteo,Rubini Riccardo
Publisher
Springer Nature Switzerland
Reference12 articles.
1. Cocconcelli, M., Capelli, L., Cavalaglio Camargo Molano, J., Borghi, D.: Development of a methodology for condition-based maintenance in a large-scale application field. Machines 6(2), 17 (2018)
2. Cocconcelli, M., Rubini, R., Zimroz, R., Bartelmus, W.: Diagnostics of ball bearings in varying-speed motors by means of Artificial Neural Networks. In: 8th International Conference on Condition Monitoring and Machinery Failure, vol. 2, pp. 760–771 (2011)
3. Soave, E., D’Elia, G., Cocconcelli, M., Battarra, M.: Blind deconvolution criterion based on Fourier-Bessel series expansion for rolling element bearing diagnostics. Mech. Syst. Signal Process. 169, 108588 (2022)
4. Pancaldi, F., Rubini, R., Cocconcelli, M.: Time-varying metrics of cyclostationarity for bearing diagnostic. Mech. Syst. Signal Process. 151, 107329 (2021)
5. Sharma, V., Parey, A.: A review of gear fault diagnosis using various condition indicators. Procedia Eng. 144, 253–263 (2016)