Minimizing predictive class confusion: A unified framework for cross-domain fault diagnosis under different label and domain configurations

已完结 10 由 .. 发布于 2026/9/2 14:37:20

DOI:10.1016/j.asoc.2026.114640
作者：Yuteng Zhang ,?Leijun Shi ,?Qinkai Han ,?Xueping Xu ,?Hui Liu ,?Fulei Chu ,?Yun Kong
文献类型：期刊论文
补充材料：只需要正文

Elsevier

Abstract：Reliable fault diagnosis is essential for maintaining the safety and operational efficiency of advanced industrial equipment. Diagnostic methods based on transfer learning techniques such as

应助信息

求助已完结，文件已删除 如有需求请重新发布求助一键发布

感谢使用Book学术
本站所有文献仅供个人学习和参考，请勿将文件进行传播。共同遵守网站规定和相关知识产权规定。

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:ElsevierA novel transfer learning method for bearing fault diagnosis based on squeeze-excitation dilated SincNet combined with physics-informed subdomain adaptation