Investigation of Deep Neural Networks for Hypoid Gear Signal Classification to Identify Anomalies

A breakthrough of deep learning methods as automated feature extraction techniques for fault further evaluation and classification has blossomed in recent years. Multiple novel approaches of pattern recognition for fault diagnostic algorithms were proposed recently for vibration signal processing. In this paper, deep learning algorithms such as one- and two-dimensional convolutional neural network...