Remaining useful life prediction using multi-scale deep convolutional neural network

• Published in: Applied soft computing Vol. 89; p. 106113
• Main Authors: Li, Han, Zhao, Wei, Zhang, Yuxi, Zio, Enrico
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.04.2020
• Subjects: Convolutional neural network; Deep learning; Multi-scale; Remaining useful life; Deep learning; Multi-scale; Remaining useful life; Convolutional neural network

Accurate and reliable remaining useful life (RUL) assessment result provides decision-makers valuable information to take suitable maintenance strategy to maximize the equipment usage and avoid costly failure. The conventional RUL prediction methods include model-based and data-driven. However, with...