Abstract: Traditional fault detection systems in power networks face significant challenges in accurately identifying complex fault patterns, particularly in multi-bus configurations with varying ...

Liza Minnelli claims she was forced to sit in a wheelchair while she presented at the 2022 Academy Awards. Minnelli, now 79, took the stage that night alongside Lady Gaga as her co-presenter to ...

Abstract: Fault detection in power systems is critical for ensuring system reliability and stability. This study presents a rule-based classification approach for identifying fault types, including ...

Spectral Fault Receptive Fields (SFRFs) are a computational framework inspired by the concept of receptive fields in the retinal ganglion cells of primates. In condition monitoring and prognosis, ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

IC manufacturers are increasingly relying on intelligent data processing to prevent downtime, improve yields, and reduce scrap. They are integrating that with fault detection and classification (FDC) ...

ABSTRACT: Rolling element bearings are commonly used in rotating machines to transmit rotation and power. On the other hand, bearing faults could be the most common reason for machinery imperfections.