This Industrial Robot Predictive Maintenance System is independently developed by BBAC based on its data-driven maintenance strategy and real-time big data platform operated by industrial IoT technology. The system extracts multiple-dimension features from failure data according to the mechanisms of different parts on robots and constructs failure prediction models applicable to complex working conditions through machine learning. It eliminates potential perils before the occurrence of failures through the customized predictive maintenance schedule generated by the expert knowledge system. The Industrial Robot Predictive Maintenance System has covered more than 3,500 industrial robots and provides precise predictive maintenance services with a huge amount of real-time operation data. It has succeeded in several practical applications, with substantial achievements in the reduction of equipment maintenance costs, improvement of operation and maintenance efficiency, and assurance of equipment stability and product quality.
Industrial Robot, Predictive Maintenance, Failure Prediction Model, Big Data Platform