Electricity Forum

The Role of AI and Machine Learning in Predicting Transformer Faults

AI and Machine Learning can predict transformer faults by analyzing dissolved gas data, thermal patterns, and vibration ...
Interesting Engineering

US firm’s meltdown-proof nuclear fuel ‘pebbles’ enter testing for advanced reactors

X-energy has launched a critical 13-month irradiation test for its advanced, non-melting TRISO-X fuel at Idaho National Lab.
Interesting Engineering

Nissan turns to AI to cut EV testing time by half, speed up electric car production

Nissan has extended its partnership with Monolith to speed up vehicle testing, cut development time and deliver new models to market faster.

AI's capabilities may be exaggerated by flawed tests, according to new study

Researchers behind a new study say that the methods used to evaluate AI systems’ capabilities routinely oversell AI ...
TMCnet

Illumina and Grail Veterans Launch Hepta With First Liquid Biopsy-Native AI That Detects Liver Disease With Tissue-Level Biological Insights

Founded by former Illumina, Grail and Google leaders, Hepta is applying the technological, genomic and commercialization expertise that made liquid biopsy possible in oncology to the far larger field ...
IEEE

Transformer noise anomaly detection method based on seasonal trend decomposition and time series prediction

Abstract: Aiming at the problem that traditional transformer noise monitoring methods cannot provide early warning of noise anomalies, this paper proposes a transformer noise anomaly detection method ...
IEEE

Detection Method for Current Transformer Metering Error of High-Voltage Line Group Based on Hierarchical Progression

Abstract: The error stability of current transformers (CTs) during online operation is highly sensitive to power grid fluctuations, often resulting in error overruns ...