Recently, neural network research in the field of mechanical fault diagnosis often requires a
large number of data samples, while graph neural networks constructed using a single …

Aiming at the problems of low accuracy and weak generalization ability in fault diagnosis
caused by complex working conditions and limited fault samples of bearings, a few-shot …

Detecting faults in bearings and gears is pivotal for smooth machinery and equipment
operation, as well as in preventing potentially catastrophic accidents. However, the fault …

针对单传感器和单模态信号特征信息不足的问题, 该文提出一种基于多模态融合的端到端深度聚
类旋转机械多传感器故障诊断方法(EDCM-MFF). 首先, 利用门控递归单元自编码模块提取多 …

Objective Rotating machinery is essential across various industrial sectors, including
energy, aerospace, and manufacturing. However, these machines operate under complex …

Accurate estimation of battery state of health (SOH) is indispensable for reliable battery
management. While machine learning methods are playing an increasingly important role …