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 · 662 citations · Full text

Engineering, Industrial Engineering, Manufacturing Engineering +17

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 · 284 citations

Engineering, Computer Engineering, Computer Science +14

Cybersecurity for digital manufacturing

Dazhong Wu, Anqi Ren, Wenhui Zhang et al. · Journal of Manufacturing Systems · 2018 · 154 citations · Full text

Engineering, Cybersecurity, Manufacturing Engineering +12

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 · 150 citations

Computing, Data Science, Machine Learning +15

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 · 137 citations

Computing, Computer Science, Data Science +14