[HTML][HTML] A Critical Review on Prognostics for Stochastic Degrading Systems Under Big Data
H Li, X Si, Z Zhang, T Li - Fundamental Research, 2024 - Elsevier
As one of the key technologies to maintain the safety and reliability of stochastic degrading
systems, remaining useful life (RUL) prediction, also known as prognostics, has been …
systems, remaining useful life (RUL) prediction, also known as prognostics, has been …
Generative artificial intelligence and data augmentation for prognostic and health management: Taxonomy, progress, and prospects
S Liu, J Chen, Y Feng, Z Xie, T Pan, J Xie - Expert Systems with …, 2024 - Elsevier
Intelligent fault diagnosis, detection, and prognostics (DDP) for complex equipment
prognostics and health management (PHM) have achieved remarkable breakthroughs …
prognostics and health management (PHM) have achieved remarkable breakthroughs …
M2BIST-SPNet: RUL prediction for railway signaling electromechanical devices
X Hu, L Tan, T Tang - The Journal of Supercomputing, 2024 - Springer
Railway signaling electromechanical devices (RSEDs) play a pivotal role in the railway
industry. Normal wear and tear of these devices occur during day-and-night operation and …
industry. Normal wear and tear of these devices occur during day-and-night operation and …
Incorporating prior knowledge into self-supervised representation learning for long PHM signal
Y Wang, Y Li, Y Zhang, J Lei, Y Yu, T Zhang… - Reliability Engineering & …, 2024 - Elsevier
Abstract Prognostics and Health Management (PHM) is a discipline that monitors,
diagnoses, and predicts the health status of complex systems. Representation learning …
diagnoses, and predicts the health status of complex systems. Representation learning …
A novel hybrid STL-transformer-ARIMA architecture for aviation failure events prediction
H Zeng, H Zhang, J Guo, B Ren, L Cui, J Wu - Reliability Engineering & …, 2024 - Elsevier
Accurate prediction of aviation failure events helps to anticipate future safety situations and
protect against further uncontrollable accidents. However, the large sample size, complex …
protect against further uncontrollable accidents. However, the large sample size, complex …
FFT-Trans: Enhancing Robustness in Mechanical Fault Diagnosis With Fourier Transform-Based Transformer Under Noisy Conditions
X Luo, H Wang, T Han, Y Zhang - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
A fast and effective fault diagnosis system is crucial for ensuring complex mechanical
equipment's safe and reliable operation. Deep learning has shown promising prospects in …
equipment's safe and reliable operation. Deep learning has shown promising prospects in …
A Bayesian adversarial probsparse Transformer model for long-term remaining useful life prediction
Long-term remaining useful life (RUL) prediction is essential for the maintenance of safety-
crucial engineering assets. Deep learning (DL) models, especially Transformer-based …
crucial engineering assets. Deep learning (DL) models, especially Transformer-based …
BearingFM: Towards a foundation model for bearing fault diagnosis by domain knowledge and contrastive learning
Monitoring bearing failures in production equipment can effectively prevent finished product
quality issues and unplanned factory downtime, thereby reducing supply chain uncertainty …
quality issues and unplanned factory downtime, thereby reducing supply chain uncertainty …
Large scale foundation models for intelligent manufacturing applications: a survey
Although the applications of artificial intelligence especially deep learning had greatly
improved various aspects of intelligent manufacturing, they still face challenges for wide …
improved various aspects of intelligent manufacturing, they still face challenges for wide …
Empowering ChatGPT-Like Large-Scale Language Models with Local Knowledge Base for Industrial Prognostics and Health Management
H Wang, YF Li, M Xie - arXiv preprint arXiv:2312.14945, 2023 - arxiv.org
Prognostics and health management (PHM) is essential for industrial operation and
maintenance, focusing on predicting, diagnosing, and managing the health status of …
maintenance, focusing on predicting, diagnosing, and managing the health status of …