Condition Monitoring and Diagnosis Technology of Mechanical Equipment Based on Optimal Preview Control Algorithm

With the continuous improvement of the application requirements of mechanical equipment, it is of great significance to study its condition monitoring and diagnosis technology. The machinery and equipment used by modern enterprises generally have the characteristics of high speed, systematization, large-scale, precision, automation, etc., which promotes the continuous expansion of production scale and the continuous improvement of production efficiency. However, once the mechanical equipment fails and stops production, the enterprise will face huge economic losses. To this end, enterprises must strengthen the operation management of machinery and equipment, be familiar with and master the equipment condition monitoring, equipment fault diagnosis and other technologies, and take measures to effectively control the condition monitoring of machinery and equipment, and implement vibration diagnosis of machinery and equipment to ensure stable and stable operation of machinery and equipment normal, thereby improving the effectiveness and reliability of the equipment and ensuring the production of the enterprise.