Weiwen Peng

Mechanical Engineering · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Mechanical Engineering — 16 citations into it
• Mechanics of Materials — 14 citations into it
• Control and Systems Engineering — 12 citations into it; #4,625 of 8,257 by trust here, #6,083 by citations
• Statistics and Probability — 5 citations into it

Whom Weiwen Peng trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Xiaoxi Ding
2. Yann LeCun

Who trusts Weiwen Peng overall

1. Meng Ma

Papers from Weiwen Peng's perspective

Ordered by how strongly the researchers Weiwen Peng trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. Residual life predictions from vibration-based degradation signals: a neural network approach (IEEE transactions on industrial electronics (1982. Print))
3. Remaining useful life estimation - A review on the statistical data driven approaches (European Journal of Operational Research)
4. ImageNet classification with deep convolutional neural networks
5. PRONOSTIA : An experimental platform for bearings accelerated degradation tests.
6. Machinery health prognostics: A systematic review from data acquisition to RUL prediction
7. High Temperature Deformation and Fracture of Materials
8. A recurrent neural network based health indicator for remaining useful life prediction of bearings (Neurocomputing)
9. Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis
10. Mean stress effects in strain–life fatigue

Their papers

• Estimation of Bearing Remaining Useful Life Based on Multiscale Convolutional Neural Network (2019) — 597 citations
• Mean stress effect correction in strain energy-based fatigue life prediction of metals (2017) — 152 citations