Jan 1, 2019 · IMDE is proposed to extract the multi-scale fault feature. •. mRMR method is performed on the candidate feature for feature selection.

Jan 1, 2019 · Max-relevance and min-redundancy (mRMR) recently pioneered by Peng et al. [30] is a new effective feature selection approach, which has been ...

[2] proposed a fault diagnosis technology based on improved MDE and max-relevance min-redundancy (mRMR). The mRMR is a very promising new method, which has the ...

Sep 14, 2018 · Firstly, the IMDE method is developed to capture multi-scale fault features from the collected original vibration signal, which can overcome the ...

First, MPE quantitatively analyzes the vibration signals of rotating machine at different scales, and obtains permutation entropy (PE) to construct feature ...

The proposed damage detection methodology provides a new and better framework for intelligent fault diagnosis of rolling bearings in rotating machinery.

Abstract Intelligent fault diagnosis of rotating machinery is essentially a pattern recognition problem. Meanwhile, effective feature extraction from the ...

Dec 5, 2023 · Fault diagnosis of rotating machines based on modified hierarchical fluctuation dispersion entropy and multi-cluster feature selection · Abstract.

Jul 2, 2024 · First, MPE quantitatively analyzes the vibration signals of rotating machine at different scales, and obtains permutation entropy (PE) to ...

Mar 28, 2024 · Intelligent fault diagnosis of rotating machinery using improved multiscale dispersion entropy and mRMR feature selection. Knowl.-Based Syst ...