Intelligent Fault Diagnosis of Rolling Element Bearings Using Statistical Feature Extraction and Random Forest Classifier
Accurate detection of faults within rotary machinery components is vital for assuring the structural reliability of equipment in manufacturing facilities and power generation systems. Automatic fault detection is an increasingly common approach whereby data acquired from sensors are analyzed by machine learning algorit...