CAJ | 학술논문

针对矿用通风机振动故障诊断中的特征提取问题，将小波包和希尔伯特变换相结合用于通风机滚动轴承的故障诊断，工程应用实例表明，通过该方法能有效提取出通风机滚动轴承内圈故障特征频率，诊断出滚动轴承的内圈故障，另外还可诊断出通风机存在轴系不对中故障，实现了通风机的精密故障诊断．
침대광용통풍궤진동고장진단중적특정제취문제，장소파포화희이백특변환상결합용우통풍궤곤동축승적고장진단，공정응용실례표명，통과해방법능유효제취출통풍궤곤동축승내권고장특정빈솔，진단출곤동축승적내권고장，령외환가진단출통풍궤존재축계불대중고장，실현료통풍궤적정밀고장진단．
The purpose of this paper is to study the vibration fault diagnosis for the mine ventilator of extracting feature. The wavelet packet and Hilbert transformation were combined to apply the fault diagnosis for the roll- ing bearing of a mine ventilator. The engineering applications showed that the fault characteristic frequency of the bearing inner ring of a mine ventilator can be extracted with this method. In addition, the shaft-misalign- merit as well as the precise fault diagnosis of a mine ventilator were diagnosed and realized.