A Quantitative Health Indicator Construction Method for Bearing Monitoring Based on Impact Recognition
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.
rolling bearingProtrugram filtering algorithmhealth indicatorquantitative analysisshock pulse method
万方数据
维普
