Publications by authors named "Licheng Jing"
Sensors (Basel)
August 2024
Article Synopsis
- - Rotating machinery is essential in industrial systems, and timely fault diagnosis is critical for safety, efficiency, and reducing economic losses.
- - Traditional deep learning approaches fall short by only analyzing data points individually, missing important relationships between them.
- - The paper introduces the Legendre graph convolutional network (LGCN) with self-attention pooling, which improves fault diagnosis accuracy and adaptability by transforming vibration signals into graph signals and enhancing computational efficiency.
