Deep-Learning and Dynamic Time Warping-Based Approaches for the Diagnosis of Reactor Systems
The degradation of clamping force in the core support barrel, which forms the internal structure of a nuclear power plant, has the potential to significantly impact the plant’s safety and reliability. Previous studies have concentrated on the detection of clamping force degradation but have been con...
Saved in:
| Main Authors: | Hoejun Jeong, Jihyun Kim, Doyun Jung, Jangwoo Kwon |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/24/23/7865 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Source-Free Domain Adaptation Framework for Rotary Machine Fault Diagnosis
by: Hoejun Jeong, et al.
Published: (2025-07-01) -
Adaptive Deeping Siamese Residual Network: A Novel Model for Few-Shot Bearing Fault Diagnosis
by: Yonghua Jiang, et al.
Published: (2025-02-01) -
Reactor fault diagnosis based on common feature of multivariate vibration sequences
by: FU Ming, et al.
Published: (2025-03-01) -
Early Internal Short Circuit Diagnosis for Lithium-Ion Battery Packs Based on Dynamic Time Warping of Incremental Capacity
by: Meng Zhang, et al.
Published: (2024-10-01) -
Waveform similarity-based recurrent temporary fault identification in a medium-voltage distribution network
by: CHEN Lin, et al.
Published: (2025-07-01)