Research on Hybrid Multi-Domain Evaluation Technology for Predictive Maintenance Algorithms
Predictive maintenance(PdM) is an operation mode in the content of intelligent manufacturing,which reflects the application of artificial intelligence technology.PdM is widely used in the field of industrial automation to carry out the operation and maintenance of automated equipment through fault diagnosis and prediction,in order to effectively reduce the downtime of the equipment and improve the production efficiency.However,the current application of PdM technology lacks a performance evaluation index system,and there is the problem of not being able to judge the advantages and disadvantages of the algorithm.By reviewing the related research on PdM performance evaluation index system,it can be known that some scholars have proposed a preliminary evaluation index system,but the lack of testing technology to support the quantitative indexes makes it difficult to promote and implement the system.The effective measurement of PdM algorithms is achieved by adopting an online and offline fusion evaluation index system that can be standardized.The applicability of the index system is effectively evaluated by testing and validating the quantitative indexes on multiple types of equipment fault diagnosis algorithms.This research provides new ideas and new methods for the evaluation of fault diagnosis and life prediction algorithms for industrial automation instruments and equipment.
Predictive maintenance(PdM)Algorithmic evaluationDiagnosis and predictionOnline testingOffline testingIndustrial automation
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