Abstract The automation of Fault Detection and Diagnosis (FDD) is a central task for many
industries today. A myriad of methods are in use, although the most recent leading …

Accurate transformer fault diagnosis is crucial for maintaining the power system stability.
Due the complex operation condition of the transformer, its faults are with the characteristic …

Main circulation pump is the only high-speed rotating equipment in primary loop of nuclear
power plant. Its function is to ensure the normal operation of primary loop system by …

Remaining useful life (RUL) prediction is significant for reliability analysis and the reduction
of maintenance costs for turbofan engine systems. However, most of the existing methods …

This study proposes a practical fault detection and prediction method by addressing a
margin-maximized hyperspace. The proposed method is effective for a highly imbalanced …

Deep learning (DL) methods based on semi-supervised learning (SSL) have risen in
popularity to achieve accurate remaining useful life (RUL) predictions when the volume of …

The focus of this work is on capturing uncertainty in remaining useful life (RUL) estimates for
machinery and constructing some latent dynamics that aid in interpreting those results. This …

Deep learning has been used to train neural networks to estimate the Remaining Useful Life
(RUL) of a machine given sensor signals from that machine. This has resulted in some …