
A Comparative Study on Machine Learning .
In machine learning, feature extraction is an essential preprocessing step in which raw data collected from various signal channels are converted into a set of statistical features in a format supported by machine learning algorithms. The statistical features are then given as an input to a machine learning algorithm. In this experiment, the condition monitoring data were collected from (1 ...