Data from PdM programs across mining and aggregates facilities reveals a clear pattern. The following five fault types are the most commonly detected and offer the greatest opportunity to intervene ...

Overview: We have developed an accurate fault modeling tool to capture variation-induced faults in Networks-on-Chip (NoCs). The core of our fault model has circuit-level accuracy, while its ...

A research team led by the University of Sharjah in the United Arab Emirates has developed a novel machine learning approach for fault detection in bifacial PV systems. The method combines a ...

A team of scientists in the United States has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a dataset ...

An analysis of the response of buried continuous pipelines to active faults has led to development of a design guideline for both onshore and offshore pipelines at fault crossings. A fault movement ...