Rotating machinery fault diagnosis under time-varying speeds: A review
D Liu, L Cui, H Wang - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Rotating machinery often works under time-varying speeds, and nonstationary conditions
and harsh environments make its key parts, such as rolling bearings and gears, prone to …
and harsh environments make its key parts, such as rolling bearings and gears, prone to …
Application of deep learning to fault diagnosis of rotating machineries
H Su, L Xiang, A Hu - Measurement Science and Technology, 2024 - iopscience.iop.org
Deep learning (DL) has attained remarkable achievements in diagnosing faults for rotary
machineries. Capitalizing on the formidable learning capacity of DL, it has the potential to …
machineries. Capitalizing on the formidable learning capacity of DL, it has the potential to …
Contrastive feature-based learning-guided elevated deep reinforcement learning: Developing an imbalanced fault quantitative diagnosis under variable working …
S He, Q Cui, J Chen, T Pan, C Hu - Mechanical Systems and Signal …, 2024 - Elsevier
Fault diagnosis is subject to the challenge of implementing model learning in the presence
of small samples and imbalanced data (ie, variable operating conditions), which is a …
of small samples and imbalanced data (ie, variable operating conditions), which is a …
Knowledge embedded autoencoder network for harmonic drive fault diagnosis under few-shot industrial scenarios
The development of Internet of Things technology provides abundant data resources for
prognostics health management of industrial machinery, and data-driven methods have …
prognostics health management of industrial machinery, and data-driven methods have …
Robust condition identification against label noise in industrial processes based on trusted connection dictionary learning
K Huang, S Tao, D Wu, C Yang, W Gui - Reliability Engineering & System …, 2024 - Elsevier
In the era of big data, the pervasive use of artificial intelligence (AI) technology has
revolutionized various industries. AI-powered systems, particularly those utilizing data …
revolutionized various industries. AI-powered systems, particularly those utilizing data …
An auto-regulated universal domain adaptation network for uncertain diagnostic scenarios of rotating machinery
In recent years, domain adaptation techniques have garnered significant attention in the
field of intelligent fault diagnosis for mechanical equipment. Domain adaptation techniques …
field of intelligent fault diagnosis for mechanical equipment. Domain adaptation techniques …
Counterfactual-augmented few-shot contrastive learning for machinery intelligent fault diagnosis with limited samples
Capturing sufficient and balanced data for intelligent fault diagnosis is significantly
consumptive in practice. It is tricky and demand-oriented to identify faults accurately and …
consumptive in practice. It is tricky and demand-oriented to identify faults accurately and …
Deep transfer learning strategy in intelligent fault diagnosis of rotating machinery
Rotating machinery plays an essential part in many engineering fields. It needs prompt
solutions to the prognosis and health management to ensure the system reliability …
solutions to the prognosis and health management to ensure the system reliability …
A numerical simulation enhanced multi-task integrated learning network for fault detection in rotation vector reducers
H Wang, S Wang, R Yang, J Xiang - Mechanical Systems and Signal …, 2024 - Elsevier
Data-driven artificial intelligence (AI) models play an important role in mechanical fault
diagnosis. Generally, it is difficult to collect relative complete fault samples, which limits the …
diagnosis. Generally, it is difficult to collect relative complete fault samples, which limits the …
Residual-based adversarial feature decoupling for remaining useful life prediction of aero-engines under variable operating conditions
J Wen, J Ren, Z Zhao, Z Zhai, X Chen - Expert Systems with Applications, 2024 - Elsevier
Accurate remaining useful life (RUL) prediction holds significant importance for health
management of aero-engines, ensuring safety and reducing the maintenance cost. The …
management of aero-engines, ensuring safety and reducing the maintenance cost. The …