IEEE

Data Augmentation Integrated with Feature-Enhanced Convolutional Neural Network for Imbalanced Fault Diagnosis in Rolling Bearings

Abstract: Imbalance in fault samples is a key problem with most rolling bearing datasets in real industrial processes, limiting the performance of fault detection. In addition, existing fault ...
IEEE

Missing Data Rolling Bearing Remaining Useful Life Prediction Fusion Auto-Correlation and Cross-Correlation

Abstract: Rolling bearings are a vital component for the safe functioning of rotating machinery. Long Short-Term Memory (LSTM) is extensively employed for predicting remaining useful life (RUL), but ...
Wall Street Journal

America’s Biggest Power Grid Operator Has an AI Problem—Too Many Data Centers

America’s AI boom is pushing the nation’s largest power-grid operator to the brink of a supply crisis. Sixty-seven million people in a 13-state region stretching from New Jersey to Kentucky get their ...
GitHub

ArcticDB: A high performance, serverless DataFrame database

ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem. Launched in March 2023, it is the successor to Arctic. Use of ArcticDB in production ...