Deep Focus Parallel Convolutional Neural Network for Imbalanced Classification of Machinery Fault Diagnostics

Artificial intelligence-based machinery fault diagnosis techniques have been increasingly considered in many industrial fields. The convolutional neural network (CNN) is able to learn features from raw signals because of its filter structure. Thus, several studies have applied CNN-based methods for machinery fault recognition and classification. However, most of these studies are based on a balanced data set, while ignoring that normal data and...