Tag: fault diagnosis

Researchers at Shanghai Jiao Tong University have developed a fault diagnosis framework that uses recurrent attentional reinforcement learning to adaptively ...

A new deep learning framework converts bearing vibration signals into dynamically weighted texture images and classifies them with a hybrid ...

Researchers have developed an RBF neural network framework that combines physics-based trend monitoring with deep learning to detect, isolate, and ...

Researchers combined Monte Carlo Tree Search-tuned deep reinforcement learning with the GEMMA industrial safety framework to detect equipment faults early ...

Brazilian researchers have combined vibration analysis with explainable artificial intelligence to diagnose unbalance, misalignment, and cracks in rotors supported by ...

Researchers at Anhui Agricultural University have released a labelled vibration dataset of rotor blade damage recorded under both constant and ...

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 ...