A systematic review of data augmentation methods for intelligent fault diagnosis of rotating machinery under limited data conditions
Z Ju, Y Chen, Y Qiang, X Chen, C Ju… - … Science and Technology, 2024 - iopscience.iop.org
In recent years, research on the intelligent fault diagnosis of rotating machinery has made
remarkable progress, bringing considerable economic benefits to industrial production …
remarkable progress, bringing considerable economic benefits to industrial production …
A comprehensive analysis for wind turbine transformer and its limits in the dissolved gas evaluation
RMA Velásquez - Heliyon, 2024 - cell.com
This study employs the PRISMA-A methodology to conduct a systematic review of
transformer fault diagnostics using Dissolved Gas Analysis (DGA) data. A comprehensive …
transformer fault diagnostics using Dissolved Gas Analysis (DGA) data. A comprehensive …
Comparative Analysis of Machine Learning Models for Predicting Diabetes: Unveiling the Superiority of Advanced Ensemble Methods
G Airlangga - G-Tech: Jurnal Teknologi Terapan, 2024 - ejournal.uniramalang.ac.id
This study presents a comprehensive analysis of various machine learning models to predict
diabetes. The research evaluates and compares the predictive performance of advanced …
diabetes. The research evaluates and compares the predictive performance of advanced …