A review of remaining useful life prediction approaches for mechanical equipment
Y Zhang, L Fang, Z Qi, H Deng - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
The precise maintenance and scientific management of large and complex mechanical
equipment are of great significance for ensuring the safe operation of equipment and …
equipment are of great significance for ensuring the safe operation of equipment and …
Fault diagnosis and health management of power machinery
Power-machinery systems are widely used in various industries, including manufacturing,
energy production, transportation, and infrastructure. However, unexpected failures of these …
energy production, transportation, and infrastructure. However, unexpected failures of these …
Feature structured domain adaptation for quality prediction of cross working conditions in industrial processes
H Ding, K Hao, L Chen, X Shi - Journal of Manufacturing Systems, 2024 - Elsevier
Quality prediction holds significant importance in monitoring the operational status of
industrial systems. However, when analyzing a newly established production line, there are …
industrial systems. However, when analyzing a newly established production line, there are …
Supervised Domain Adaptation for Remaining Useful Life Prediction Based on AdaBoost With Long Short-Term Memory
S Seo, J Hwang, M Chung - IEEE Access, 2024 - ieeexplore.ieee.org
With the advent of high-quality deep learning algorithms, several methods have been
proposed for addressing domain adaptation (DA) problems in remaining useful life …
proposed for addressing domain adaptation (DA) problems in remaining useful life …
AdaBoost-LSTM 기반도메인적응기술을이용한항공기엔진의잔여유효수명예측
서승환， 황정우 - 한국통신학회논문지, 2024 - dbpia.co.kr
딥러닝 알고리즘의 발달과 함께 잔여 유효 수명 예측 위한 다양한 도메인 적응 기술이
발표되었다. 그 중 대부분은 비지도 도메인 적응 방식이며, 그 중 적대적 접근 방식이 가장 …
발표되었다. 그 중 대부분은 비지도 도메인 적응 방식이며, 그 중 적대적 접근 방식이 가장 …
Remaining Useful Life Prediction of Aircraft Engines Based on Transfer Learning
A Arathi - 2023 - search.proquest.com
The goal of this study is to predict the remaining useful life (RUL) of aircraft engines by
integrating a transfer learning framework with a deep learning approach. A domain-adapted …
integrating a transfer learning framework with a deep learning approach. A domain-adapted …
Prediction Remaining Useful Life of Aircraft Turbofans Using Transfer Learning Based CNN-LSTM
KH Woo, CY Ki, KG Hyuk, AS Yeon… - The Transactions of the …, 2024 - koreascience.kr
The objective of research in the field of prognostics and health management is to predict the
Remaining Useful Life of aircraft engines, a critical component of analysis within this …
Remaining Useful Life of aircraft engines, a critical component of analysis within this …
Cross-Working-Condition Remaining Useful Life Prediction of Aircraft Engines Via Domain-Invariant Features and Domain-Related Features
Cross-working-condition remaining useful life (RUL) prediction of aircraft engines is
particularly challenging when data in the target domain is unlabeled. Previous studies that …
particularly challenging when data in the target domain is unlabeled. Previous studies that …