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Fuzzy model identification based on mixture distribution analysis for bearings remaining useful life estimation using small training data set

Fei Huang,Alexandre Sava,Kondo H. Adjallah,Wang Zhouhang

Mechanical Systems and Signal Processing（2021）

Cited 8|Views20
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Abstract
•An identification method for Takagi-Sugeno fuzzy inference system is proposed.•A maximum likelihood method is applied to enhance performance of fuzzy model.•The approach is designed for bearings remaining useful life estimation model identification.
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Key words
Fuzzy learning,Mixture distribution analysis,Maximum likelihood,Weighted least square
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