An MLP estimated induction motor winding and bearing temperatures from drive signals with MSE 0.31, beating a linear model (1.94) and a CNN (0.54) on a single representative test profile.
Critical issues of applying machine learning to condition monitoring for failure diagnosis,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Temperature Estimation in Induction Motors using Machine Learning
An MLP estimated induction motor winding and bearing temperatures from drive signals with MSE 0.31, beating a linear model (1.94) and a CNN (0.54) on a single representative test profile.