Intelligent Visual Monitoring Method for Outer Ring Fracture of Large Hy-draulic Valve Bearings
Sensing equipment cannot be installed on the outer ring of hydraulic valve bearing,and its fracture lacks a clear sensing threshold signal,which cannot be detected by real-time sensing signal.However,the image recognition based fracture monitoring method is affected by the missing pixels at the edge of the outer ring,and the accuracy is not high.Therefore,the intelligent visual monitoring method of fracture of bearing outer ring of large hydraulic valve is studied.The image of the outer ring of hydraulic valve bearing is collected,and the missing value in pixels is filled by low-rank tensor completion method.The feature extraction of broken pixels in valve bearing outer ring is carried out by using noise reduction self-coding network.The extracted fracture image features are input into the support vector machine model to complete the automatic monitoring of the failure state of the outer ring fracture.The experimental results show that this method has good feature extraction effect and high state monitoring accuracy.
large water conservancy valvesbearing outer ring fracturestatus monitoringintelligent imagingsupport vector machine
NETL
NSTL
万方数据
