Boundary Feature Study on Engine Wear Based on Wavelet Analysis
Due to poor data of oil monitoring, the wear boundaries obtained by applying traditional threeline method (TTM) are not accurate enough :ind very likely to lead to higher f:ilse alarm rate. To mine wear regularity feature and singular characteristic information, Wavelet transformation was used to oil spectrometric and direct reading ferrography data denoised to acquire approximation coefficient and detail coefficient Based on these coefficients, new threeline method (NTM) was constructed, and accordingly the normal boundary, warning boundary and dangerous boundary were extracted. To com pare the boundaries obtained separately with NTM and TTM, the index, the ratio 77 of abnormal range and normal range, is put forward according to the curve of the effective lifetime vs failrrre rate of the mechanical equipment The analysis of wear boundary feature for engine shows that the wear state determined using the new method is more eonsistent with the actual situation than TTM, and the index of new metbod is less than that of TTM, which proves higher reliability of boundaries determined using NTM. Moreover, the statistical results on engine wear state sbow new method is of higher accuracy rate and abnormalities discrimination rate.
oil analysis engine wear wear boundary wavelet analysis tradirional three-line method
Xu Qisheng Xu Zeyin Zhao Yang Xu Houchang Zhang Yuanbin
Dept.of Mechanical Engineering Hefei University Hefei, China
国际会议
2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)
大连
英文
383-387
2010-07-05（万方平台首次上网日期，不代表论文的发表时间）