RESONANCE 2023

Session

11 juil. 2023 à 14:00

Toulouse

Présidents de session

Survishno 5 / Fault Diagnostics & prognostics 1

• Andre Hugo ()

Liste des contributions Ordre du jour

223. "FDP1#1 - A federated learning approach for rolling bearing fault diagnosis on data sources with imbalanced class distribution"

De Fabritiis Fabrizio

11/07/2023 14:00

Rotating machinery fault diagnosis is a field of intensive research, attracting the last years a particular interest for data-driven methodologies such as Machine Learning and Deep Learning. In order to build such models, the general assumption is that a sufficient number of healthy and fault samples, collected under various working conditions, are available for model training. This assumption...

224. "FDP1#2 - CANCELLED - Cyclic monitoring of the Remaining Useful Life RUL for the Bearing fault prognosis"

Benyagoub Abderrahmane

11/07/2023 14:20

Over the last decades, Prognostics has played a dominant role in preventive maintenance in manufacturing. It usually involves estimating the Remaining Useful Life (RUL) or the Time to Failure (TTF) of mechanical systems. In Prognosis, the analysis could often be purely data-driven (Trend Analysis). It requires a vast data set and offers the double benefit of being both applicable in many...

225. "FDP1#3 - Modelling and diagnosis of a crack of a bearing inner ring"

Combet Francois

11/07/2023 14:40

Cracking of the inner ring of a bearing can occur for various reasons: poor handling during assembly, thermal stresses during start-up, etc. This results in a loss of tightness between the ring and the shaft with various consequences: fretting corrosion, heating of the inner ring leading to a reduction in the operating clearance and then to the blocking of the bearing, or even the rotation of...

226. "FDP1#4 - Study of bearing fault detectability on a rotating machine by vibro-acoustic characterisation as a function of a noisy surrounding machine"

Attal Emmanuel

11/07/2023 15:00

In a context study linked to the preventive maintenance of industrial machinery, a vibro-acoustic study aimed at identifying the defect presence in cylindrical bearings was carried out under noisy environmental conditions. The simultaneous acquisition of acoustic and vibratory signals providing information on the condition of the bearings was carried out using microphonic and accelerometric...

227. "FDP1#5 - On the detection of rolling contact fatigue in large bearings using roller embedded sensors."

Baggerohr Stephan

11/07/2023 15:20

Sensor Roller (SR) system is a prototype technology, developed by SKF, that uses sensors embedded in bearing rollers to collect data on load, roller accelerations & rotation speed, and temperature. This data is then transmitted wirelessly to operations and maintenance staff, allowing them to monitor the state and performance of machinery in real time. The system is currently being used in...

329. FDP1#6 -

11/07/2023 15:40