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- W2375893896 abstract "When the ball mill level is measured by vibration,the vibration signals are nonlinear and time-varying. In order to deal with the problem of low precision and poor stability in traditional methods,the T-S fuzzy model is applied to represent and measure the level of ball mill. Firstly,the subtraction clustering is used to make the fuzzy antecedent recognition of vibration signal's power spectral eigenvalues,and the fuzzy concepts and rules are identified. Then the minimum variance estimation is used to identify the seccedent parameters. Finally,the fuzzy reasoning method is applied to achieve the soft measurement of ball mill. Compared the experimental measurement with the traditional methods,the experimental results demonstrate the high-precious and high-stable characteristics of the T-S fuzzy model method." @default.
- W2375893896 created "2016-06-24" @default.
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- W2375893896 date "2014-01-01" @default.
- W2375893896 modified "2023-09-26" @default.
- W2375893896 title "Soft Sensor for Ball Mill Level Based on T-S Fuzzy model" @default.
- W2375893896 hasPublicationYear "2014" @default.
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