Research on Rotating Machinery Fault Diagnosis Based on an Improved Eulerian Video Motion Magnification
Haifeng Zhao,
Xiaorui Zhang,
Dengpan Jiang
et al.
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 i… Show more
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