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ESTIMATION OF VALVE CLEARANCE OF ENGINE BY WAVELET ANALYSIS

机译:小波分析估计发动机阀清除

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In this paper, we proposed a new technique to estimate valve clearance in order to assure the quality and performance of the automobile engine. To estimate valve clearance, a microphone was used to measure engine noise. At first, we measured the acceleration of the valve in both the axial and the bending direction with several valve clearances. We found that (a) the vibration start-time delays and the amplitude of the vibration decreases as the valve clearance decreases, and (b) this strong vibration content induced by the valve close-operation causes a specific valve operation sound. According to the experimental facts, we developed the following estimation technique: (1)Filtering by analog high-pass filter: The exhaust noise was reduced to a very low level. (2)De-noising signals: The de-noising technique based on the wavelet analysis was carried out. This process involved two aspects: breaking up a signal to obtain the wavelet coefficients and modifying the small wavelet coefficients to zero. In this process, signals dissimilar to the mother wavelet were removed. (3) De-noising coefficients: The de-noising technique based on the wavelet analysis was applied to the wavelet coefficients obtained in the above process. Any signal induced by chance was removed in this step. (4) Reassembling coefficients: The de-noised signal was reassembled from obtained coefficients in step 3. (5) Averaging de-noised signals: De-noised signals were averaged to improve the reliability. Next, we carried out experiments to evaluate the above technique. Applying above technique, we achieved the following results: 1. The delay of the peak time in the valve close sound is proportional to the valve clearance and the 2. We can use the proposed technique to estimate valve clearance within an accuracy of 0.1 mm.
机译:在本文中,我们提出了一种估计阀门间隙的新技术,以确保汽车发动机的质量和性能。为了估计阀门间隙,使用麦克风来测量发动机噪声。首先,我们测量阀门在轴向和弯曲方向上的加速度,具有几个阀间隙。我们发现(a)随着阀间隙降低,振动开始时延迟和振动的幅度降低,(b)由阀门关闭操作引起的这种强振动内容导致特定的阀门操作声音。根据实验事实,我们开发了以下估计技术:(1)通过模拟高通滤波器过滤:排气噪声降低到非常低的水平。 (2)去噪信号:进行了基于小波分析的去噪技术。该过程涉及两个方面:分解信号以获得小波系数并将小小波系数修改为零。在该过程中,除去与母小波不同的信号。 (3)去噪系数:将基于小波分析的去噪技术应用于在上述过程中获得的小波系数。在此步骤中除去了机会诱导的任何信号。 (4)重新组合系数:在步骤3中的获得系数中重新组装去噪信号。平均断开发出信号:对脱发信号平均以提高可靠性。接下来,我们进行了评估上述技术的实验。应用上述技术,我们实现了以下结果:1。阀门关闭声音中的峰值时间的延迟与阀间隙成比例,2.我们可以使用所提出的技术来估计0.1mm的精度的阀门间隙。

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