Research and application of intelligent manufacturing predictive maintenance standard system

Predictive maintenance is an important technology to predict the future working conditions of equipment through real-time monitoring of its operating status, and to realize fault diagnosis, life prediction, equipment maintenance and management. It is one of the typical applications of artificial intelligence in intelligent manufacturing. However, the confusion of terms and definitions related to predictive maintenance, the lack of communication and integration interfaces between systems, and the difference between monitoring diagnosis scheme and prediction algorithm have seriously hindered the application of predictive maintenance. Therefore, this paper analyzes and discusses the requirements of predictive maintenance standards from three aspects: predictive maintenance technology application, standard system, and standard content, constructs a predictive maintenance standard system covering basic common standards, key technical standards, and industrial application standards, and analyzes the current standards and the future direction of standardization. Based on the research in this paper, it is hoped that standards researchers can further develop standards related to data, evaluation, remaining life prediction, and maintenance management, and effectively promote the development of predictive maintenance technology and the digital transformation of equipment.