CAJ | 학술논문

在分析时域平均的基础上,通过将齿轮箱输入轴瞬时速度的三次曲线拟合和信号重采样相结合,提出了非同步特征信号的时域平均提取方法.时域平均对从噪声中提取特定周期信号是比较有效的方法,但当信号的故障特征频率未知或存在多种故障时,该方法不能获得满意的诊断效果,而频域平均能较好的实现该类故障的特征提取.基于早期故障信号的特点,提出了将多分辨分析的经验模态分解方法与频域平均相结合的故障特征提取方法.试验结果表明,所提出的时频域平均方法能有效地实现齿轮箱非同步特征信号的提取.
재분석시역평균적기출상,통과장치륜상수입축순시속도적삼차곡선의합화신호중채양상결합,제출료비동보특정신호적시역평균제취방법.시역평균대종조성중제취특정주기신호시비교유효적방법,단당신호적고장특정빈솔미지혹존재다충고장시,해방법불능획득만의적진단효과,이빈역평균능교호적실현해류고장적특정제취.기우조기고장신호적특점,제출료장다분변분석적경험모태분해방법여빈역평균상결합적고장특정제취방법.시험결과표명,소제출적시빈역평균방법능유효지실현치륜상비동보특정신호적제취.
The vibration signal of rotating machineries possesses the characteristics of ergodic cycle, time-frequency domain average can deal with the cycle domain of this kind of stationary signal better and extract the characteristic signal. The fault characteristics of vibration signal would be more obvious and easy to detect when rotating machineries are at nonsynchronous status. Via the analysis of time synchronous averaging, a new method for the time domain averaging fault diagnosis of non-synchronous feature signal is proposed, which is based on cubic curves fitting of the instant speed of the gearbox input shaft and the data resampling. Time domain averaging will not achieve satisfactory consequence if the fault characteristic frequency is unknown or there are various faults, while frequency average can extract this kind of fault effectively. Based on the characteristic of earlier faulty signal, this paper proposes a new fault diagnosis method, which combines the method of multi-resolution empirical mode decomposition (MEMD) and frequency domain average. The application results show that the proposed time-frequency domain average method can extract the nonsynchronous feature signal of gearbox effectively.