한국지능시스템학회:학술대회논문집 (Proceedings of the Korean Institute of Intelligent Systems Conference)

한국지능시스템학회 (Korean Institute of Intelligent Systems)
권호 표지

FAULT DIAGNOSIS OF ROTATING MACHINERY THROUGH FUZZY PATTERN MATCHING

  • Fernandez salido, Jesus Manuel (Faculty of Engineering, Department of Computer Science, Kyushu Institute of Technology) ;
  • Murakami, Shuta (Faculty of Engineering, Department of Computer Science, Kyushu Institute of Technology)
  • 발행 : 1998.06.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

In this paper, it is shown how Fuzzy Pattern Matching can be applied to diagnosis of the most common faults of Rotating Machinery. The whole diagnosis process has been divided in three steps : Fault Detection, Fault Isolation and Fault Identification, whose possible results are described by linguistic patterns. Diagnosis will consist in obtaining a set of matching indexes that indexes that express the compatibility of the fuzzified features extracted from the measured vibration signals, with the knowledge contained in the corresponding patterns.

키워드