Tag: predictive maintenance

A systematic review of 74 studies reveals that AI-driven maintenance for mining processing machinery remains narrow, vibration-obsessed, and disconnected from ...

Researchers have developed CHS-Net, a hybrid deep learning architecture that sets a new benchmark for segmenting cracks, erosion, and delamination ...

Researchers have developed a CNN-BiLSTM-Attention hybrid neural network optimized by an improved antlion algorithm that diagnoses and predicts transformer faults ...

Researchers have developed a physics-informed, uncertainty-aware graph neural network that predicts jet engine remaining useful life with record robustness under ...

Researchers have developed a deep learning framework that recognizes liquid pipeline operating conditions and autonomously diagnoses the reliability of its ...

Researchers at the Technical University of Munich combined physics-based digital shadows with neural-network bias correction, cutting wind turbine fatigue load ...

A new Perspective proposes a system-level framework of transferable predictive maintenance that keeps battery health predictions reliable as storage assets ...

Researchers have developed a physics-informed machine learning framework that predicts the remaining useful life of electric vehicle drive systems with ...

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

A scoping review of 123 studies and a recycled-paper mill case study reveal that predictive maintenance research lags behind Industry ...