Feature Extraction of Rotor Fault Using Morphological Filtering and Sample Entropy
PU Ya-song · Journal of Honghe University · 2013
The sample entropy was introduced into the fault diagnosis field of rotating machinery.Combined with morphological filtering and sample entropy,a novel feature extraction method for rotor was proposed.Firstly,the line structure element was selected for morphological filter to denoise the original signal.Secondly,the sample entropy of denoised signal was calculated,the denoised signal types were normal,unbalanced,misalignment,oil-film whirl and rubbing.Finally,the sample entropy was used as fault feature to evaluate the different fault condition.Practical results prove that this method is effective on fault diagnosis of rotating machinery.