The gearbox health state monitoring based on wear debris analysis

Health state monitoring is important to many large machines. Which can real-time monitor the equipment operation condition, give early warning of possible equipment failures, and evaluate the remaining use life of equipment. Planetary gear transmission system is widely used in various fields and works under the harsh environment for a long time, resulting in the wear and tear of key parts, further to affect the normal operation of equipment. In this paper, planetary gearbox condition monitoring experiments were conducted under varying conditions by using the oil monitoring system, the oil monitoring data was analyzed, the wear debris image was denoised and the working condition of planetary gearbox was effectively recognized. This work provides the theory support for the research of gearbox health state monitoring and prediction.