Induction motor fault diagnosis using multiple class feature selection


This paper presents an effective and practical multiple class feature selection (MCFS) approach for induction motor fault diagnosis. Wavelet transform is applied to extracting energy features at some specific frequency components from both stator current signals and vibration signals. These energy features are collected to form a high-dimensional feature… (More)


Figures and Tables

Sorry, we couldn't extract any figures or tables for this paper.

Slides referencing similar topics