Fault diagnosis using variational autoencoder GAN and focal loss CNN under unbalanced data
W Li, D Liu, Y Li, M Hou, J Liu, Z Zhao… - Structural Health …, 2024 - journals.sagepub.com
For the poor model generalization and low diagnostic efficiency of fault diagnosis under
imbalanced distributions, a novel fault diagnosis method using variational autoencoder …
imbalanced distributions, a novel fault diagnosis method using variational autoencoder …
Adaptive centroid prototype-based domain adaptation for fault diagnosis of rotating machinery without source data
Q Li, B Tang, L Deng, Q Yang, P Zhu - Reliability Engineering & System …, 2024 - Elsevier
Abstract Domain adaptation can effectively achieve fault diagnosis tasks with unlabeled
target data using similar labeled source datasets during the training stage. However, the …
target data using similar labeled source datasets during the training stage. However, the …
Contrastive domain-invariant generalization for remaining useful life prediction under diverse conditions and fault modes
X Xiao, J Zhang, D Xu - Reliability Engineering & System Safety, 2025 - Elsevier
As industrial equipment becomes increasingly complex, necessitating operation under
varied conditions and often exhibiting diverse failure modes, traditional deep learning …
varied conditions and often exhibiting diverse failure modes, traditional deep learning …
WTFormer: RUL prediction method guided by trainable wavelet transform embedding and lagged penalty loss
Q Yang, B Tang, L Deng, P Zhu, Z Ming - Advanced Engineering …, 2024 - Elsevier
Accurately and effectively predicting the Remaining Useful Life (RUL) of bearings in extreme
environments is crucial for efficient operations and maintenance. To improve the …
environments is crucial for efficient operations and maintenance. To improve the …
A novel transformer-based DL model enhanced by position-sensitive attention and gated hierarchical LSTM for aero-engine RUL prediction
X Chen - Scientific Reports, 2024 - nature.com
Accurate prediction of remaining useful life (RUL) for aircraft engines is essential for
proactive maintenance and safety assurance. However, existing methods such as physics …
proactive maintenance and safety assurance. However, existing methods such as physics …
A review of prognostics and health management in wind turbine components
J Cuesta Arrillaga, U Leturiondo… - PHM Society …, 2024 - upcommons.upc.edu
Wind turbines (WTs) play an essential role in renewable energy generation, and ensuring
their reliable operation is essential for sustainable energy production and reduction of …
their reliable operation is essential for sustainable energy production and reduction of …
Improved RUL prediction method of wind turbine gearbox bearings under strong noises
S Xiang, P Li, J Hou, M Ilolov, J Wang… - 2024 39th Youth …, 2024 - ieeexplore.ieee.org
As essential components within the wind turbine gearbox, bearings are critical, and
forecasting their Remaining Useful Life (RUL) is paramount. To enhance the integration of …
forecasting their Remaining Useful Life (RUL) is paramount. To enhance the integration of …