Neural Network-Based Automated Assessment of Fatigue Damage in Mechanical Structures
This paper proposes a methodology for automated assessment of fatigue damage, which has been tested and validated with polycrystalline-alloy (A<i>ℓ</i>7075-T6) specimens on an experimental apparatus. Based on an ensemble of time series of ultrasonic test (UT) data, the proposed procedure...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-12-01
|
| Series: | Machines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1702/8/4/85 |