Fuzzy model identification based on mixture distribution analysis for bearings remaining useful life estimation using small training data set
Mechanical Systems and Signal Processing(2021)
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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