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• W2782251010 endingPage "012009" @default.
• W2782251010 startingPage "012009" @default.
• W2782251010 abstract "In order to solve the problem of slow computation speed, matching pursuit algorithm is applied to rolling bearing fault diagnosis, and the improvement are conducted from two aspects that are the construction of dictionary and the way to search for atoms. To be specific, Gabor function which can reflect time-frequency localization characteristic well is used to construct the dictionary, and the genetic algorithm to improve the searching speed. A time-frequency analysis method based on genetic algorithm matching pursuit (GAMP) algorithm is proposed. The way to set property parameters for the improvement of the decomposition results is studied. Simulation and experimental results illustrate that the weak fault feature of rolling bearing can be extracted effectively by this proposed method, at the same time, the computation speed increases obviously." @default.
• W2782251010 created "2018-01-12" @default.
• W2782251010 creator A5021753701 @default.
• W2782251010 creator A5049632810 @default.
• W2782251010 date "2017-12-01" @default.
• W2782251010 modified "2023-10-16" @default.
• W2782251010 title "Research on rolling element bearing fault diagnosis based on genetic algorithm matching pursuit" @default.
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• W2782251010 doi "https://doi.org/10.1088/1757-899x/283/1/012009" @default.
• W2782251010 hasPublicationYear "2017" @default.
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