Setting up a problem of diagnostics of faults and analysis of the operation of pneumohydraulic drives with a pneumohydraulic booster based on the digital twin model

BACKGROUND: The paper considers the concept of using digital twins for diagnostics of faults and analysis of the operation pneumohydraulic drives with a pneumohydraulic booster. This innovative technology hel[s to conduct more accurate and efficient revisions of the systems which contributes to increase of reliability and safety of the equipment. The digital twin gives an opportunity to build the virtual model of the system, which can be used for simulation of various operation scenarios and for definition of potential issues. AIM: Increasing the efficiency of definition of faults and optimization of operation of pneumohydraulic drives using the innovative approach on the basis of the digital twin. METHODS: For the successful implementation of this approach, the modern data analysis methods, mathematical modeling and machine learning algorithms were used. A special attention should be paid to accuracy of the data obtained from the sensors as well as to quality of the software for the digital twin model development. RESULTS: The use of the digital twin ensures reliable definition of faults. The results of the concept prove efficiency and accuracy of the process. This innovative solution increases reliability and productiveness of the systems, cutting the breakdown time of the equipment. CONCLUSION: The digital twin model helps to forecast faults and increases the reliability of the system operation. The use of the digital twin model improves performance capacity and reduces costs of maintenance of pneumohydraulic drives.