为了从轴承座振动中提取船舶轴系不对中故障特征，提出基于随机共振和谐波小波包的振动信号检测与提取方法。在船舶轴系实验台上，进行船舶轴系校中实验，提取实验过程中轴承座振动信号中轴系不对中故障信号，并分析其随校中状态的变化。结果表明在直线校中状态下，轴承座振动中存在2倍频不对中振动响应；当轴系不对中状态随着尾前轴承标高增加逐渐恶化时，提取的特征振动的幅值逐渐增大。因此，基于随机共振和谐波小波包可实现从轴承座振动中提取船舶轴系不对中故障特征。
In order to extract the misalignment fault characteristics of ship shafting from the vibration of bearing seating, a detection and extraction method based on stochastic resonance and harmonic wavelet packet was proposed. The alignment experiments were carried out on the ship shafting test bench, the shafting misalignment fault signal was detected and extracted from the collected bearing seating vibration, and the law of the misalignment fault signal with the alignment state was analyzed. The results show that the misalignment vibration response of double frequency exists in the bearing seating vibration under the straight alignment state. As the elevation of the stern bearing increases, the misalignment of the shafting gradually deteriorates, and the amplitude of the extracted characteristic vibration gradually increases. Therefore, based on stochastic resonance and harmonic wavelet packet, the misalignment fault features of ship shafting can be extracted from the vibration of bearing seating.
2022,44(15): 113-118 收稿日期：2021-09-14
DOI：10.3404/j.issn.1672-7649.2022.15.023
分类号：U664.2
基金项目：国家自然科学基金面上项目（51879020）；中央高校基本科研业务费（3132020189）；大连海事大学博士研究生创新项目（BSCXXM006）
作者简介：邱世浩(1993-)，男，硕士研究生，研究方向为振动测试与信号处理
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