ABSTRACT
In recent years, industrial mechanical equipment has been developing rapidly and the research on intelligent fault diagnosis has attracted the attention of researchers. Machine learning theories are important basic disciplines and promising development directions of artificial intelligence and have been applied in many industrial areas after years of development. Considering the structure and working characteristics of mechanical equipment and the characteristics of machine learning algorithm, the machine learning-based fault diagnosis can make full use of advantages in data processing and classification to solve the difficulties in the modeling of mechanical equipment, and this is a chance to find breakthroughs in mechanical fault diagnosis. Therefore, machine learning-based industrial equipment fault diagnosis is a research topic with broad prospects and high practical value.
