Hybrid Convolutional Neural Network–Bidirectional Gated Recurrent Unit with Dual Attention and Reinforcement Learning for Rolling Element Bearing Fault Diagnosis
The diagnosis of rolling element bearing faults is of most importance for the reliable and safe operation of rotating machinery. An adaptive selection of fault features based on a hybrid convolutional neural network (CNN)-bidirectional gated recurrent unit (BiGRU) framework with dual attention and reinforcement learnin...