Bearing fault diagnosis method based on refined composite multiscale fuzzy entropy
نویسندگان
چکیده
Abstract In this paper, a new fuzzy C-mean (FCM) clustering method based on refined composite multiscale entropy (RCMFE) is proposed and applied to the bearing fault diagnosis of rotating machinery. The RCMFE adds processing, which can not only characterize complex changes time sequences at several different scales but also solve problems information loss caused by process coarse granulation large fluctuation value when scale becomes large. This uses extract features, that are inputted into Fuzzy algorithm achieve rolling identification. Comparing with Multiscale Entropy (MFE) Composite (CMFE), used was experimentally proven have better diagnostic results.
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ژورنال
عنوان ژورنال: Journal of physics
سال: 2022
ISSN: ['0022-3700', '1747-3721', '0368-3508', '1747-3713']
DOI: https://doi.org/10.1088/1742-6596/2395/1/012056