Degradation feature extraction method for prognostics of an extruder screw data renewable energy solution group korea electric power research

HIGHLIGHTS

  • who: MDPI from the Naju, Republic of Korea , School of Mechanical Engineering, Kyungpook National University, Daegu, Republic of Korea have published the Article: Degradation Feature Extraction Method for Prognostics of an Extruder Screw Data Renewable Energy Solution Group Korea Electric Power Research, in the Journal: Sensors 2023, 637 of 19/01/2021
  • what: In this study a prognostic method for screws was presented by employing real operational data obtained from a microu2010extrusion system. In this study, it was assumed that the degradation behavior (z) is described by the following equation: z a b exp where . . .

     

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