Janis Terpenny

A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests

Dazhong Wu, Connor Jennings, Janis Terpenny et al. · Journal of Manufacturing Science and Engineering · 2017 · 624 citations · Full text

Engineering, Machine Learning, Feed-forward Back Propagation +26

A fog computing-based framework for process monitoring and prognosis in cyber-manufacturing

Dazhong Wu, Shaopeng Liu, Li Zhang et al. · Journal of Manufacturing Systems · 2017 · 278 citations

Engineering, Cloud-based Manufacturing, Industrial Engineering +12

Cybersecurity for digital manufacturing

Dazhong Wu, Anqi Ren, Wenhui Zhang et al. · Journal of Manufacturing Systems · 2018 · 148 citations

Industrial Design, Engineering, Cyber Manufacturing +4

An ensemble learning-based prognostic approach with degradation-dependent weights for remaining useful life prediction

Zhixiong Li, Dazhong Wu, Chao Hu et al. · Reliability Engineering & System Safety · 2017 · 145 citations

Reliability Engineering, Degradation-dependent Weights, Machine Learning +13

Bearing remaining useful life prediction using self-adaptive graph convolutional networks with self-attention mechanism

Yupeng Wei, Dazhong Wu, Janis Terpenny · Mechanical Systems and Signal Processing · 2022 · 127 citations

Self-attention Mechanism, Engineering, Machine Learning +11