Browse > Article
http://dx.doi.org/10.46670/JSST.2022.31.1.51

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

Kang, Ho Hyeon (Mecahnical Engineering, Pusan National Unversity)
Ahn, Jung Hwan (Mecahnical Engineering, Pusan National Unversity)
Kim, Hwa Young (Mecahnical Engineering, Pusan National Unversity)
Publication Information
Abstract
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
Keywords
Misfiring; Mornitoring; Speed change of crankshaft; Flywheel tooth; Ship engine; FFT(Fast Fourier Transform) Pattern;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 M. Tamura, H. Saito, Y. Murata, K. Kokubu, and S. Morimoto, "Misfire Detection on Internal Combustion Engines using Exhaust Gas Temperature with Low Sampling Rate", Appl. Therm. Eng., Vol. 31, No. 17-18, pp. 4125-4131, 2011.   DOI
2 A. Sharma, V. Sugumaran, and Devasenapati, S. B., "Misfire Detection in an IC Engine using Vibration Signal and Decision Tree Algorithms", Measurement, Vol. 50, pp. 370-380, 2014.   DOI
3 J. G. Park, and W. B. Jeong, "Misfiring Cylinder Detection for Reciprocating Internal Combustion Engine Using Torsional Vibration Signal", Trans. Korean Soc. Noise Vib. Eng., Vol. 31, No. 2, pp. 161-169, 2021.   DOI
4 S. H. Gawande, L. G. Navale, M. R. Nandgaonkar, D. S. Butala, and S. Kunamalla, "Identification and Analysis of Engine Speed and Noise in In-line Diesel Engine", JJMIE, Vol. 6, No. 1, pp. 71-74, 2012.
5 B. Y. Lee, S. J. Ha, and O. T. Lim, "Methodology of Engine Fitness Diagnosis Using Variation of Crankshaft Angular Speed", Trans. Korean Soc. Mech. Eng. A, Vol. 35, No. 11, pp. 1529-1535, 2011.   DOI
6 Y. C. Bae, H. S. Kim, W. R. Lee, D. Y. Lee, and B. S. Kim, "Vibration Analysis and Reduction for Large-scale Diesel Engines", Trans. Korean Soc. Mech. Eng. B, Vol. 35, No. 10, pp. 1047-1052, 2011.   DOI
7 J. D. Powell, "Engine Control Using Cylinder Pressure: Past, Present, and Future", J. Dyn. Syst. Meas. Control, Vol. 115, No. 2B, pp. 343-350, 1993.   DOI
8 M. J. Jung, T. O. Kim, J. H. Ahn, and H. Y. Kim, "Development of Vibration Compensator for Vertical Vibration Damping of Ships", J. Sens. Sci. Technol., Vol. 29, No. 3, pp. 205-210, 2020.   DOI
9 D. C. Lee, K. S. Joo, T. K. Nam, E. S. Kim, and S. H. Kim, "Development of Engine Vibration Analysis and Monitoring System(EVAMOS) for Marine Vessels", Trans. Korean Soc. Noise Vib. Eng., Vol. 19, No. 2, pp. 155-161, 2009.   DOI
10 J. H. Sung, D. S. Kim, J. H. Park, T. Y. Lee, E. G. Kim, J. H. Lim, H. J. Yun, Y. K. Jung, J. H. Lee, J. S. Park, C. H. Kim, J. H. Park, Y. H. Kim, and K. H. Han, "A study on the misfire detection method using the tooth time fluctuation of engine crankshaft", Trans. Korean Soc.Auto. Eng,, Vol. 1, No. 8, pp. 47-51, 2004.