一种基于冲击识别的轴承监测定量健康指标构建方法

A Quantitative Health Indicator Construction Method for Bearing Monitoring Based on Impact Recognition

滚动轴承的健康指标(Health Indicator,HI)对于机械设备的状态监测至关重要。现有的HI构建方法需要根据不同的工况进行构建,而且其振幅波动范围受到转速等因素影响。文章提出了一种新的HI构建方法,用于定量评估轴承的健康状态。首先,利用Protrugram滤波算法实现信号去噪;其次,对信号进行包络谱分析,分别计算4种故障特征频率处的幅值,将最大的幅值用于衡量冲击性;最后,应用SPM公式计算得到轴承的SPM-HI。为了验证所提出方法的有效性,使用2个轴承数据集进行了验证,结果表明,提出的SPM-HI具有更好的趋势性、单调性和尺度相似性,而且在不同的工况下,计算出的SPM-HI幅值相似,说明其具备良好的定量性能。

The Health Indicator(HI)of rolling bearings is crucial for condition monitoring of mechanical equipment.The existing HI construction methods need to be constructed according to different working conditions,and their amplitude fluctuation range is affected by factors such as rotational speed.In this article,a new HI construction method is proposed for quantitatively assessing the health status of bearings.Firstly,the Protrugram filtering algorithm is used to realize the signal denoising;secondly,the envelope spectrum analysis is performed on the signal,and the amplitudes at the four fault characteristic frequencies are calculated separately,and the largest amplitude is used to measure the impactivity;finally,the SPM formula is applied to obtain the SPM-HI of the bearings.In order to validate the effectiveness of the proposed method,the validation is carried out using two bearing datasets,and the results show that the proposed SPM-HI has better trend,monotonicity and scale similarity.Moreover,the calculated SPM-HI amplitudes are similar under different operating conditions,indicating that it has good quantitative performance.