no code implementations • 12 Nov 2023 • Shouhua Zhang, Jiehan Zhou, Xue Ma, Chenglin Wen, Susanna Pirttikangas, Chen Yu, Weishan Zhang, Chunsheng Yang
Traditional fault diagnosis methods using Convolutional Neural Networks (CNNs) face limitations in capturing temporal features (i. e., the variation of vibration signals over time).
1 code implementation • 21 Jul 2020 • Feiya Lv, Shujian Yu, Chenglin Wen, Jose C. Principe
This paper presents a novel mutual information (MI) matrix based method for fault detection.
no code implementations • 19 Jan 2018 • Jing Zhang, Yang Cao, Yang Wang, Chenglin Wen, Chang Wen Chen
Specifically, we propose to randomly shuffle the pixels in the origin images and leverage the shuffled image as input to make CNN more concerned with the statistical properties.