Remaining useful life estimation in prognostics using deep convolution neural networks
Remaining useful life estimation in prognostics using deep convolution neural networks
Xiang Li,Q. Ding,Jianqiao Sun
2018 · DOI: 10.1016/j.ress.2017.11.021
Reliability Engineering & System Safety · 1,473 Citations
TLDR
A new data-driven approach for prognostics using deep convolution neural networks (DCNN) using time window approach is employed for sample preparation in order for better feature extraction by DCNN.