Tag: predictive maintenance

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 ...

Researchers have developed a CNN-LSTM deep learning framework that compresses 52 sensor streams from a large hydro-turbine unit into six ...

A new threshold-based governance framework quantifies the trade-offs between predictive maintenance reliability and sustainability, revealing a dual-regime structure that helps ...

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 ...

A new survey of 161 studies maps how out-of-distribution data undermines AI-based mechanical fault diagnosis and argues that generalization, calibrated ...

Researchers in India have combined moth-inspired optimization, differential evolution and attention-based TabNet to predict vehicle maintenance failures with 97.6 percent ...

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 ...