CAJ | 학술논문

针对淹没在强噪声中具有高频多周期成分的早期故障信号，提出了并联调制随机共振与核主元分析系统。将信号的特征频率通过调制共振系统进行增强，并将功率谱组成多元统计向量，通过非线性映射，在高维空间进行特征提取，利用T2统计量和F分布的控制限进行检测。利用仿真的轴承转子振动信号与滚动轴承冲击信号进行了验证，实验表明系统能够及时地对早期故障进行预警。
침대엄몰재강조성중구유고빈다주기성분적조기고장신호，제출료병련조제수궤공진여핵주원분석계통。장신호적특정빈솔통과조제공진계통진행증강，병장공솔보조성다원통계향량，통과비선성영사，재고유공간진행특정제취，이용T2통계량화F분포적공제한진행검측。이용방진적축승전자진동신호여곤동축승충격신호진행료험증，실험표명계통능구급시지대조기고장진행예경。
Aiming at the detection of early stage fault which have multiple high frequency composition,a system based on parallel stochastic resonance and kernel principal components is proposed. The characteristic frequencies are strengthened by modulated stochastic resonance.The power spectrums of several frequencies are formed into a multivariant statistical vector.By nonlinear mapping,the statistical vector’s feature is extracted in higher dimension space.The T2 -statistic and control limit of F-distribution are utilized to detect early stage faulty signal.The simulated bearing rotor vibration signal and ball bearing impulse signal are used to verify the proposed method.The experiment results show that the system can alert the early stage fault promptly.