no code implementations • 18 Sep 2023 • Zhiyi Chen, Harshal Maske, Huanyi Shui, Devesh Upadhyay, Michael Hopka, Joseph Cohen, Xingjian Lai, Xun Huan, Jun Ni
This study introduces a stochastic deep Koopman (SDK) framework to model the complex behavior of MMSs.
no code implementations • 25 Mar 2023 • Joseph Cohen, Xun Huan, Jun Ni
The rules, limited to 1-2 terms utilizing original feature scales, describe 12 out of the 16 derived equipment failure clusters with precision exceeding 0. 85, showcasing the promising utility of the explainable clustering framework for intelligent manufacturing applications.
no code implementations • 23 Mar 2023 • Joseph Cohen, Xun Huan, Jun Ni
In the era of industrial big data, prognostics and health management is essential to improve the prediction of future failures to minimize inventory, maintenance, and human costs.
no code implementations • 30 May 2020 • Fan Zhang, MinChao Yan, Chen Hu, Jun Ni, Fei Ma
In addition, a dual-branch convolutional neural network (CNN) classification method is designed in combination with the global information to mine the pixel features of the image.
no code implementations • 19 Sep 2018 • Hanqing Tian, Jun Ni, Jibin Hu
This paper summarizes the work of building the autonomous system including detection system and path tracking controller for a formula student autonomous racecar.