Simultaneously learning affinity matrix and data representations for machine fault diagnosis

• Main Authors: Li, Yue, Zeng, Yijie, Liu, Tianchi, Jia, Xiaofan, Huang, Guang-Bin
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Extreme Learning Machine; Autoencoder
• Online Access: https://hdl.handle.net/10356/160940
• Institution: Nanyang Technological University

Recently, preserving geometry information of data while learning representations have attracted increasing attention in intelligent machine fault diagnosis. Existing geometry preserving methods require to predefine the similarities between data points in the original data space. The predefined affin...