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Fault Detection and Diagnosis based on Fuzzy Algorithm in the Injection Molding Machine Barrel Temperature

사출 성형기 Barrel 온도에 관한 퍼지알고리즘 기반의 고장 검출 및 진단

  • 김훈모 (성균관대학교 기계공학부)
  • Published : 2003.11.01

Abstract

We acquired data of injection molding machine in operation and stored the data in database. We acquired the data of injection molding machine for fault detection and diagnosis (FDD) continuously and estimated the fault results with a fuzzy algorithm. Many of FDD are applied to a huge system, nuclear power plant and a computer numerical control(CNC) machine for processing machinery. But, the research of FDD is rare in injection molding machine compare with computer numerical control machine. We appraise the accuracy of the FDD and the limit of the application to the injection molding machine. We construct the fault detection and diagnosis system based on fuzzy algorithm in the injection molding machine. Data of operating injection molding machine are acquired in order to improve the reliability of detection and diagnosis.

Keywords

References

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