Component Anomaly Warning and Diagnosis based on Knowledge Graph

With the continuous improvement of the complexity and intelligence level of production equipment, the production capacity of production equipment is also increasing. Equipment maintenance and fault warning have become the key to ensuring the normal operation of production equipment units and reducing enterprise operating costs. Due to the complex and closely connected electromechanical structure of production equipment units, there are chain reactions and mutual influences between production equipment unit components, which increases the difficulty of abnormal fault warning for production equipment unit components. However, the accuracy of fault warning methods for production equipment unit components is currently low, resulting in maintenance personnel often not having time to make appropriate equipment rotation maintenance plans.