摘要
在旋转机械设备应用中,滚动轴承是减小轴与轴座之间摩擦损耗的关键精密设备。为了能够有效监测由于磨损、腐蚀和过载等原因导致滚动轴承产生的损坏,设计并验证了滚动轴承振动信号对于滚动轴承故障的表征作用。设计方法是通过从采集到的机械旋转过程中滚动轴承的振动信号入手,通过在MATLAB中对滚动轴承故障特征进行提取和分析。通过经验模态分解从而获得振动信号的固有模态函数,通过希尔伯特—黄变换后得到各分量的包络频谱,通过与理论计算的故障特征值进行比对和匹配,从而实现滚动轴承故障的诊断和分析。实验结果表明,理论计算滚动轴承外圈故障频率约49 Hz,实验测量故障频率为50 Hz,与外圈故障频率特征一致。由此可知,该方法能够准确表征滚动轴承的故障频率,可以实现滚动轴承故障的有效监测。
In the application of rotating machinery, rolling bearing is the key precision equipment to reduce the friction loss between shaft and shaft seat. In order to effectively monitor the damage of rolling bearing caused by wear, corrosion and overload, the characterization of rolling bearing vibration signal for rolling bearing fault is designed and verified. Design method is to start from the vibration signal of the rolling bearing collected during the mechanical rotation process, and to extract and analyze the fault characteristics of the rolling bearing in MATLAB. Through empirical mode decomposition to obtain the inherent modal function of the vibration signal, the envelope spectrum of each component is obtained after the Hilbert-Huang transformation, and the fault characteristic value calculated by the theory is compared and matched to achieve the rolling bearing fault diagnosis and analysis. The experimental results show that the theoretical calculation of the outer ring fault frequency of rolling bearing is about 49 Hz, and the experimental measurement of the fault frequency is 50 Hz, which is consistent with the outer ring fault frequency characteristics. Therefore, this method can accurately characterize the fault frequency of rolling bearing, and can realize the effective monitoring of rolling bearing fault.
作者
胡寅
梅月兰
Hu Yin;Mei Yuelan(City College,Kunming University of Science and Technology,Kunming 650093,China)
出处
《电子测量技术》
北大核心
2021年第3期60-64,共5页
Electronic Measurement Technology
关键词
滚动轴承
希尔伯特-黄变换
经验模态分解
实验设计
rolling bearing
Hilbert-Huang transform
empirical mode decomposition
experiment design
