Research Method of TensorFlow Monitoring Micro Leakage in Hydraulic Cylinder
The internal leakage detection method commonly used at present stage does not actually monitor the micro internal leakage of the hydraulic cylinder.In order to monitor the micro leakage of hydraulic cylinder,the research method using Tensor-Flow was proposed.The biggest innovation is the design of a structural hydraulic oil sensor,and the use of TensorFlow network to implement monitoring,the complex strain-small leakage relationship can be simplified to direct reading.The main content is to use hydraulic oil sensor to provide a buffer part for micro internal leakage to reduce pressure influence.Meanwhile,the hydraulic oil collection part and PC end are connected to constitute the whole monitoring system for data collection and processing.Finally,TensorFlow is used to realize the monitoring of micro internal leakage of hydraulic cylinder without manual work.The results show that,combined with the hydraulic oil sensor and TensorFlow,the original data can be extracted and the final data can be processed to monitor the micro leakage in the hydraulic cylinder,which provides a research idea for the monitoring of the micro leakage in the hydraulic system.
Small Leakage AmountThe Hydraulic CylinderHydraulic Oil SensorTensorFlow
NETL
NSTL
万方数据
维普
