Tag: fault detection

A new review in Discover Sustainability charts how artificial intelligence has advanced solar forecasting, maintenance, and grid integration from 2020 ...

Researchers in Türkiye have combined IoT sensors, gradient-boosted machine learning, and a safely grounded large language model into a prototype ...

A lightweight 3D network combined competitive synthetic-data segmentation accuracy with stronger fault recovery under severe noise and more coherent fault ...

A benchmark study found that an AI service hub combining sensor, text and visual data achieved high fault-detection and maintenance ...

Researchers in India built a transformer-based deep learning system to detect anomalies in solar-wind power plants, achieving strong reconstruction accuracy ...

Researchers have developed a signal-processing method that combines non-convex sparse optimization with an iteratively sharpened time-frequency transform to detect weak ...

A French research team has combined time-domain reflectometry with temporal convolutional networks to detect, locate, and characterize wiring faults, achieving ...

Researchers have developed a semi-supervised deep learning method that automatically detects and vectorizes faults and geological boundaries on archived scanned ...

A new framework combines explainable graph neural networks with bio-inspired repair algorithms to detect, diagnose, and autonomously heal faults in ...

Researchers have developed a noise-robust over-sampling method called mZ-cEAMD that outperforms SMOTE-based techniques in classifying defective car transmissions from severely ...