Attention Mechanism has become very popular in the field of mechanical fault diagnosis in
recent years and has become an important technique for scholars to study and apply. The …

To overcome the limitations associated with purely physics-based and data-driven modeling
methods, hybrid, physics-based data-driven models have been developed, with improved …

Surveys on explainable artificial intelligence (XAI) are related to biology, clinical trials,
fintech management, medicine, neurorobotics, and psychology, among others. Prognostics …

Mistrust, amplified by numerous artificial intelligence (AI) related incidents, is an issue that
has caused the energy and industrial sectors to be amongst the slowest adopter of AI …

Data center downtime typically centers around IT equipment failure. Storage devices are the
most frequently failing components in data centers. We present a comparative study of hard …

A state-of-the-art systematic review on XAI applied to Prognostic and Health Management
(PHM) of industrial asset is presented. This work provides an overview of the general trend …

3D triple-level cell (TLC) NAND flash based solid state drive (SSD) is gradually becoming
the dominant storage media in large-scale storage systems due to high storage density and …

Data center downtime typically centers around IT equipment failure. Storage devices are the
most frequently failing components in data centers. We present a comparative study of hard …

With the rapid development of cloud services, service providers increasingly rely on a
dependable storage system equipped with large-capacity disks to ensure data availability …

Erasure codes are widely used in large-scale distributed storage systems due to their high
efficiency and reliability, but they also face extremely high repair penalties when data …