Overview of Research on Digital Equipment Fault Diagnosis Based on Deep Learning
Digital equipment has the characteristics of complex structure,intensive technology,and high information level.Tra-ditional fault diagnosis methods require multiple components to be disassembled and have low accuracy in fault localization.But deep learning can extract valuable and sensitive features from the raw data of equipment,it is suitable for intelligent fault diagnosis of digit-al equipment.For this purpose,this paper first analyzes the practical difficulties and challenges of digital equipment fault diagnosis in the military,expounds the research status of digital equipment maintenance support at home and abroad,and then summarizes the main methods and research progress of equipment fault diagnosis,emphatically sorting out the deep learning research results of in the equipment fault diagnosis field;Finally,three research ideas for implementing digital equipment fault diagnosis based on deep learning methods are proposed in combination with practical applications.
digital equipmentmaintenance supportfault diagnosisdeep learningresearch overview
万方数据
维普
