An adaptive morphological filtering and feature enhancement method for spindle motor bearing fault diagnosis

Author:

Zhou Hao,Yang Jianzhong,Xiang HuaORCID,Chen Jihong

Publisher

Elsevier BV

Subject

Acoustics and Ultrasonics

Reference39 articles.

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2. Feature extraction based on semi-supervised kernel Marginal Fisher analysis and its application in bearing fault diagnosis;Jiang;Mech. Syst. Sig. Process.,2013

3. A review of failure modes, condition monitoring and fault diagnosis methods for large-scale wind turbine bearings;Liu;Meas J Int Meas Confed,2020

4. Extended kalman filtering for remaining-useful-life estimation of bearings;Singleton;IEEE Trans. Ind. Electron.,2015

5. A hybrid prognostics approach for estimating remaining useful life of wind turbine bearings;Wang;Energy Rep.,2020

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