Enhancing Model Generalizability in Aircraft Carbon Brake Wear Prediction: A Comparative Study and Transfer Learning Approach
Predictive maintenance in commercial aviation demands highly reliable and robust models, particularly for critical components like carbon brakes. This paper addresses two primary concerns in modeling carbon brake wear for distinct aircraft variants: (1) the choice between developing specialized mode...
Saved in:
| Main Authors: | Patsy Jammal, Olivia Pinon Fischer, Dimitri N. Mavris, Gregory Wagner |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Aerospace |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2226-4310/12/6/555 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Advancing Aviation Safety Through Predictive Maintenance: A Machine Learning Approach for Carbon Brake Wear Severity Classification
by: Patsy Jammal, et al.
Published: (2025-07-01) -
Generalizability and the Theory of Offsetting the Affective Filter
by: Barry Chametzky
Published: (2013-12-01) -
Motor Vehicle Brake Pad Wear—A Review
by: Ştefan Voloacă, et al.
Published: (2025-05-01) -
On-Road Measurements and Modelling of Disc Brake Temperatures and Brake Wear Particle Number Emissions on a Heavy-Duty Tractor Trailer
by: Misja Frederik Alban Steinmetz, et al.
Published: (2025-05-01) -
Correlation of field and experimental test data of wear in heavy commercial vehicle brake liners
by: B. Surya Rajan, et al.
Published: (2017-03-01)