Tag: fault diagnosis

Researchers at China Jiliang University have combined fine-tuned large language models with graph attention networks to complete incomplete knowledge graphs ...

Researchers in China have developed a noise-resistant deep neural network that monitors the oil temperature of marine thrust bearings from ...

Researchers have created a hybrid onboard model for turboshaft engines that combines component-level physics simulations with sparse flight data calibration, ...

Researchers have combined discrete event modeling with recurrent neural networks to build a computationally efficient fault diagnosis framework, validated on ...

Researchers in China combined a fine-tuned large language model with a TWTA fault knowledge graph to achieve a 94.56 percent ...

Researchers have developed a graph-enhanced bidirectional GRU model that detected 44 of 45 simulated anomalies in a realistic power generation ...