Operating Status Diagnosis of Power Equipment Based on Rule Engine

During the daily inspection and maintenance of power equipment, the operation and maintenance department has accumulated a large number of equipment operating status documents. The operating status document records defect phenomena, diagnosis, and solutions, etc. Therefore, such documents can provide reference basis and guidance for daily defect diagnosis. However, due to the complex operating status of the equipment and the inconsistent documentation method, status documents still cannot efficiently provide sufficient reference. In order to realize equipment diagnosis based on status documents, this paper developed and implemented a knowledge discovery system after analyzing the characteristics of the power equipment operating status documents. This system adopted the Drools rule engine technology. Firstly, it established the abnormal rules of power equipment operating status indicators, then classified the key information in the documents, and finally realized the accurate judgment of power equipment defects based on the status documents based on the Drools rule engine. The diagnostic accuracy rate reached 75.23%.