CIL-FGGM: A class-incremental learning framework based on fine-grained Gaussian mixture modeling for open-set fault recognition in rotating machinery

Advanced Engineering Informatics 2026

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Authors: Binbin Liu, H Yang, Wengang Ma, J Inghorn He, Xiaolong Lan, Tao Li

DOI: 10.1016/j.aei.2026.104779

Cited by: 1

References: 39

Fields of Study & Subjects

Machine Fault Diagnosis Techniques Anomaly Detection Techniques and Applications Domain Adaptation and Few-Shot Learning

References 39