C
Chenhui Shao
Researcher at University of Illinois at Urbana–Champaign
Publications - 56
Citations - 995
Chenhui Shao is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Computer science & Welding. The author has an hindex of 14, co-authored 47 publications receiving 582 citations. Previous affiliations of Chenhui Shao include University of Michigan & University of Science and Technology of China.
Papers
More filters
Journal ArticleDOI
Feature selection for manufacturing process monitoring using cross-validation
Chenhui Shao,Kamran Paynabar,Tae Hyung Kim,Jionghua Jin,S. Jack Hu,J. Patrick Spicer,Hui Wang,Jeffrey A. Abell +7 more
TL;DR: In this article, a new method for selecting features and tuning SPC limits is proposed by applying k-fold cross-validation to simultaneously select important features and set the monitoring limits using Type I and Type II errors obtained from crossvalidation.
Journal ArticleDOI
Enhancing sustainability and energy efficiency in smart factories: A review
TL;DR: In this article, the state-of-the-art of sustainable and smart manufacturing is reviewed based on the PRISMA framework, with a focus on how they interact and benefit each other.
Journal ArticleDOI
Iterative multi-task learning for time-series modeling of solar panel PV outputs
TL;DR: An efficient approach to iterative multi-task learning for time series (MTL-GP-TS) that improves prediction of the PV output without increasing measurement efforts by sharing the information among PV data from multiple similar solar panels is proposed.
Journal ArticleDOI
Robust Deep Learning-Based Diagnosis of Mixed Faults in Rotating Machinery
TL;DR: A duplet classifier is developed by combining two 1-D convolutional neural networks that are responsible for the diagnosis of the rotor and bearing faults, respectively and can reliably identify the onset and nature of mixed faults.
Journal ArticleDOI
Characterization of Ultrasonic Metal Welding by Correlating Online Sensor Signals With Weld Attributes
S. Shawn Lee,Chenhui Shao,Tae Hyung Kim,S. Jack Hu,Elijah Kannatey-Asibu,Wayne W. Cai,J. Patrick Spicer,Jeffrey A. Abell +7 more
TL;DR: In this paper, the fundamental physics behind the ultrasonic welding process is investigated using two process signals, weld power and horn displacement, and several online features are identified by examining those signals and their variations under abnormal process conditions.