• Aucun résultat trouvé

A new dynamic predictive maintenance framework using deep learning for failure prognostics

N/A
N/A
Protected

Academic year: 2021

Partager "A new dynamic predictive maintenance framework using deep learning for failure prognostics"

Copied!
13
0
0

Texte intégral

Loading

Références

Documents relatifs

estimate of RUL T ˆ   j  MTTF T   j until a fault is detected upon inspection because the degradation signal has deviated from its nominal value beyond

- Salons internationaux : organiser la participation de ses adhérents à des salons de sous- traitance étrangère (SAMEST Tunisie, SISTEP Maroc, MIDEST France). - Bulletins

But in the case when individual components are highly reliable (in the sense that failure rates are much smaller than the repair rates), this often requires a very long computation

In the analyses, the stress versus fracture volume relations and the cell size were chosen to produce the best match to the strain measurements. The input to the calculations is

“Extracting gamma-ray information from images with convolutional neural network methods on simulated cherenkov telescope array data,” in IAPR Workshop on Artificial Neural Networks

five-mask process is introduced in the fabrication process, and different geometric parameters.. The new VTFT structure is based on the introduction of an insulating layer

En l'absence du lubrifiant, le test laisse sur le chrome une trace continue assez importante tant en longueur qu'en profondeur. L'usure du chrome est plus

In this work we study the collision probability, saturation throughput and packet error rate for the carrier sense multiple access collision avoidance (CSMA/CA) protocol with request