Research on Rotating Machinery Fault Diagnosis Based on an Improved Eulerian Video Motion Magnification.

ABSTRACT: Rotating machinery condition monitoring and fault diagnosis are important bases for maintenance decisions, as the vibrations generated during operation are usually imperceptible to the naked eye. Eulerian video motion magnification (EVMM) can reveal subtle changes and has been widely used in various fields such as medicine, structural analysis, and fault diagnosis, etc. However, the method has a bound relationship among three parameters: spatial wavelength, amplification factor, and displacement function, so it is necessary to adjust the parameters manually in practical applications. In this paper, on the basis of the original method, an automatic solution of spatial cutoff wavelength based on brightness is proposed. First, an input video is decomposed into image sequences, their RGB color

SUBMITTER: Zhao H 

PROVIDER: S-EPMC10798371 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature