statistiche ricercatore

Nome	#
A deep learning approach for fault detection and RUL estimation in bearings, file 7bb6e2ab-0a90-41bc-b9cd-7c2c843c4b00	80
Overcoming strain gauges limitation in the estimation of train load passing on a bridge through deep learning, file 331ea54f-7751-4667-b10c-c4acdc0493a7	39
A comparison between regular and physics-informed neural networks based on a numerical multibody model: a test case for the synthesis of mechanisms, file ae91497d-2e47-42d3-b75d-8a86823d7a40	37
Improving the effectiveness of anomaly detection in bridges through a deep learning method based on coherence of signals, file 493fe767-898f-4d22-904f-90ddb52b2934	36
An approach based on convolutional autoencoder for detecting damage location in a mechanical system, file 08e057bc-1f44-4f85-bc25-82ae93ab6bcc	33
A Deep Learning Approach to Detect Failures in Bridges Based on the Coherence of Signals, file 452c38d7-304d-4e84-a2c0-756ab1725574	21
Development of soft sensors based on neural networks for detection of anomaly working condition in automated machinery, file e0c31c12-ecdc-4599-e053-1705fe0aef77	5
An approach for fault detection based on multibody simulations and feature selection algorithm, file e0c31c12-ecde-4599-e053-1705fe0aef77	5
A Comparison of Deep Learning Algorithms for Anomaly Detection in Discrete Mechanical Systems, file 280218e5-a4ea-4259-93ed-5e5f1c8838ac	4
Structural Health Monitoring of a steel truss railway bridge studying its low frequency response, file a4035514-8d00-47fc-9739-660b54dc05e5	2
Totale	262

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2021/2022	9	0	0	0	0	0	0	0	0	0	0	0	9
2022/2023	68	9	2	3	1	6	1	3	13	0	6	12	12
2023/2024	185	5	7	26	13	14	23	18	27	28	10	14	0
Totale													262

RE.PUBLIC@POLIMI pubblicazioni di ricerca del Politecnico di Milano