VAVFormer: A general interpretable fault diagnosis framework based on variational fusion and adaptive volatility attention

Computers in Industry 2026 Open access

Read full text

Authors: Le Liu, Haidong Shao, Yiming Xiao, Bin Liu

DOI: 10.1016/j.compind.2026.104459

Cited by: 10

References: 31

Fields of Study & Subjects

Machine Fault Diagnosis Techniques Fault Detection and Control Systems Time Series Analysis and Forecasting

References 31