首页> 外文OA文献 >On the Need of the Wavelet Analysis for Fatigue Condition Monitoring
【2h】

On the Need of the Wavelet Analysis for Fatigue Condition Monitoring

机译:关于疲劳状态监测的小波分析需求

摘要

Wavelet analysis has attracted attention for its ability to analyse rapidly changing transient signals. Based on that capability, it was then used in this study to detect high amplitude of strain signal of the coil spring. The signals were recorded at two different road profiles that are paved road and unpaved road. Wavelet analysis was then performed in order to obtain wavelet transform representation for each of the road. Fatigue damage assessment will be used to verify this finding. The obtained result shows that the time of peaks occurrence in wavelet transform representation are in line with the time of the high amplitude strain occurrence. It is true for all types of signal. It is also verified with the value of the fatigue damage. It is noticed that the value of the fatigue damage is higher at the similar time frame. The finding indicates that the wavelet analysis can be used as an alternative method for the fatigue condition monitoring cases. udud
机译:小波分析以其分析快速变化的瞬态信号的能力而引起人们的关注。基于这种能力,然后在本研究中将其用于检测螺旋弹簧的高应变信号。信号记录在铺装道路和未铺装道路这两个不同的道路轮廓上。然后执行小波分析,以获得每条道路的小波变换表示。疲劳损伤评估将用于验证这一发现。所得结果表明,小波变换表示中出现峰值的时间与高振幅应变出现的时间一致。对于所有类型的信号都是如此。还用疲劳损伤值进行了验证。注意到在相同的时间范围内,疲劳损伤的值较高。该发现表明,小波分析可以用作疲劳状态监测案例的替代方法。 ud ud

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号