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A Study on Noise Reduction of Gear Pumps of Wheel Loaders Based on the ICA Model

机译:基于ICA模型的轮式装载机齿轮泵降噪研究。

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摘要

In order to reduce the noise level of wheel loaders caused by gear pumps and realize environmentally sustainable development, the noise generation mechanism of a gear pump was studied, and the influence of flow pulsation and gear impact on noise was analyzed. In order to reduce the interference of other noise sources on the noise level of the gear pump, a noise test rig was established. The mixed noise signals obtained from the rig test were separated using the ICA model. The ICA model includes the following algorithms: The fast Fourier transform (FFT), independent component analysis (ICA) and inverse fast Fourier transform (IFFT). Some theories about the influence of the teeth number and teeth profile on noise were analyzed by theory and simulation. A noise reduction strategy was proposed by increasing the teeth numbers and modifying the teeth profile of the gear pump. The tests results showed that the noise values of the external and the driver’s ear of the wheel loader were reduced to 1 and 2.2 dB (A), respectively. This proves the effectiveness of the optimization scheme of gear pump noise reduction.
机译:为了降低齿轮泵引起的轮式装载机噪声水平,实现环境的可持续发展,研究了齿轮泵的噪声产生机理,并分析了流量脉动和齿轮冲击对噪声的影响。为了减少其他噪声源对齿轮泵噪声的干扰,建立了噪声试验台。使用ICA模型分离了从钻机测试获得的混合噪声信号。 ICA模型包括以下算法:快速傅里叶变换(FFT),独立分量分析(ICA)和快速傅里叶逆变换(IFFT)。通过理论和仿真分析了一些有关齿数和齿廓对噪声影响的理论。通过增加齿数和修改齿轮泵的齿廓,提出了一种降噪策略。测试结果表明,轮式装载机的外部和驾驶员耳朵的噪声值分别降低到了1和2.2 dB(A)。这证明了齿轮泵降噪优化方案的有效性。

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