센서학회지 (Journal of Sensor Science and Technology)

  • 제31권1호
  • /
  • Pages.51-56
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  • 2022
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  • 1225-5475(pISSN)
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  • 2093-7563(eISSN)
한국센서학회 (The Korean Sensors Society)
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크랭크축의 미세속도변화를 이용한 선박엔진의 착화불량 상태 감시

Monitoring of Misfiring Status of Ship Engines Using Minute Speed Changes in the Crankshaft

  • 강호현 (부산대학교 기계공학부) ;
  • 안중환 (부산대학교 기계공학부) ;
  • 김화영 (부산대학교 기계공학부)
  • 투고 : 2021.11.18
  • 심사 : 2022.01.27
  • 발행 : 2022.01.31
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초록

In this study an efficient method for detecting and monitoring engine misfiring, focusing on minute speed changes in the crankshaft is proposed., Its validity is verified using various misfiring cases. Typically, the crankshaft speed fluctuates around the normal value depending on the engine misfiring status. Even a minute speed change in the crankshaft can be estimated by measuring the rotation time of each tooth of the 118-tooth flywheel attached to the crankshaft with a 2-MHz timer. Therefore, a speed pattern for an in-line six-cylinder engine consists of 236 tooth rotation speeds corresponding to the two rotations of the crankshaft, in which all the cylinders complete four-stroke cycle. FFT analysis can reduce the number of components of a speed pattern from 236 to just four major components: - fundamental frequency_(f), 2f, 3f, 6f., - This makes the comparison of the misfiring cases simpler and faster. In the experiment, five engine status cases (one normal firing and, four misfiring cases) were simulated. While the 6f component was the largest for the normal case, the f component increased as misfiring occurred one, two apart, and two consecutive times. The 3D FFT pattern comprising the ratio of f, 2f, and 3f, 6f showed that the distance between the misfiring and normal states was larger

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과제정보

본 연구는 금오기전(주) 주관기관 광역협력권산업육성사업(지역주도형 R&D)의지원으로수행한연구이다(과제번호:P063500009).

참고문헌

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