Photovoltaic Cell Anomaly Detection Enabled by Scale Distribution Alignment Learning and Multi-Scale Linear Attention Framework

Z Chang, A Zhang, H Wang, J Xu… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The growing prevalence of photovoltaic (PV) systems has intensified the focus on fault
prediction and health management within both academic and industrial realms …

A Generalized Testing Model for Interval Lifetime Analysis Based on Mixed Wiener Accelerated Degradation Process

Y Li, O Kaynak, L Jia, C Liu, Y Wang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
To achieve fault diagnosis and prognosis, obtaining adequate and reliable life-cycle data is
essential. However, this poses a challenge in current high-reliable Internet of Things (IoT) …

Resilience Optimization Analysis of Smart Mining Cluster Cyber-Physical Systems Based on the NK Model

DU Pan, W Xinping, LI Tiezhi, SU Chang… - Process Safety and …, 2024 - Elsevier
This paper explores the challenges and opportunities presented by the digitization and
intelligent clustering in the mining industry, focusing on the security and inter-system …

Deep Reinforcement Learning-based Multi-Layer Cascaded Resilient Recovery for Cyber-Physical Systems

K Zhong, Z Yang, S Yu, K Li - IEEE Transactions on Services …, 2024 - ieeexplore.ieee.org
Cyber-physical systems (CPSs) are intricate systems integrating both physical and
computational components. When these components fail due to malfunction or cyber-attack …

[PDF][PDF] A Cascading Fault Path Prediction Method for Integrated Energy Distribution Networks Based on the Improved OPA Model under Typhoon Disasters.

Y He, Y You, Z He, H Lu, L Chen, Y Jiang… - Energy …, 2024 - cdn.techscience.cn
In recent times, the impact of typhoon disasters on integrated energy active distribution
networks (IEADNs) has received increasing attention, particularly, in terms of effective …