Research status and trend of fault diagnosis based on deep learning

deep learning is a branch of machine learning, which uses neural network as a bridge to represent a large number of data. It is also one of the research directions of artificial intelligence. At present, it is widely used in computer vision, speech recognition, audio recognition, fault diagnosis and other fields, and has achieved good results. Deep learning plays an important role in equipment fault diagnosis and maintenance. This paper introduces several mainstream learning frameworks of deep learning, and looks forward to its future development trend.