.png){kind=icon}
.png){kind=icon}
Return
A tool wear state monitoring method for SSAE based on mechanism prior weight adaptation
.png){kind=icon}
PRE
AI
Y
X
L
A
C
Z
DOI：10.1016/j.rcim.2026.103316.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• A mechanism-based prior weight adaptive SSAE method is proposed for accurate tool wear condition monitoring. • A tool wear mechanism model using stress and cutting temperature gives prior knowledge and constraints for data-driven model. • A dynamic feature dimension optimisation strategy is proposed to balance compression and representation. • An adaptive prior weight mechanism and composite loss function are designed to improve monitoring accuracy and robustness.
Keywords:
tool wear monitoring
SSAE
mechanism prior
adaptive weight
feature dimension optimization
Journal
R
IF:
11.4
Papers:
3.3K
Citations:
1.3W
Organization
Cited Papers