Simultaneously learning affinity matrix and data representations for machine fault diagnosis

• المؤلفون الرئيسيون: Li, Yue, Zeng, Yijie, Liu, Tianchi, Jia, Xiaofan, Huang, Guang-Bin
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Electrical and electronic engineering; Extreme Learning Machine; Autoencoder
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/160940

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...