Wear Particle Detection in the Lubricating Oil of the Rotating Machine Bearing by Ferrography Analytical Method using Image Processing and Neural Networks

摘要

It is known that Ferrography analytical method can find the unusual state of the bearing surface of the rotating machine with a higher sensitivity than that of other monitoring methods, such as the measurement of frictional force, frictional temperature and rotational speed. This method can detect the abnormal wear particles, such as cutting wear particles, spherical particles, sever wear particles and black oxide particles, before the frictional force and temperature caused the unusual change and rotational speed decreased.