CAJ | 학술논문

利用小波技术对发动机曲轴轴承振动信号进行分解，对特定层的信号进行重构，并计算重构信号的分形维数，来实现发动机曲轴不同技术状态下特征提取。实验结果表明，特定频率带振动信号的分形维数更能敏感反应发动机曲轴轴承技术状态，它可以作为诊断发动机曲轴轴承故障的一个重要特征量。
이용소파기술대발동궤곡축축승진동신호진행분해，대특정층적신호진행중구，병계산중구신호적분형유수，래실현발동궤곡축불동기술상태하특정제취。실험결과표명，특정빈솔대진동신호적분형유수경능민감반응발동궤곡축축승기술상태，타가이작위진단발동궤곡축축승고장적일개중요특정량。
In this paper , the wavelet transform technology was applied to analyze the crankshaft bear -ing vibration signal , then is reconstructed the specifically vibration series of signal , and fractal dimension of them is computed to pick up the fault characteristic in different technology state of the crankshaft bear -ing.The experiment result shows that the fractal dimension of the vibration signal of specifically frequency bands can reflect the technology state of the crankshaft bearing , and can be as an important characteristic parameter to diagnose the crankshaft bearing fault .