当前位置: X-MOL 学术Measurement › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A novel tacholess order analysis method for bearings operating under time-varying speed conditions
Measurement ( IF 5.2 ) Pub Date : 2021-09-16 , DOI: 10.1016/j.measurement.2021.110127
Madhurjya Dev Choudhury 1 , Liu Hong 2 , Jaspreet Singh Dhupia 1
Affiliation  

Order tracking (OT) of vibration envelope signal based on instantaneous frequency (IF) estimated from a time-frequency representation (TFR) is generally applied to detect bearing defects under time-varying speed conditions. However, these TFR based OT approaches require a high resolution for accurate estimation of the IF. To overcome these issues, a tacholess OT technique based on the fast dynamic time warping (FDTW) algorithm is applied to detect bearing defects for the first time in this paper. FDTW based signal transformation is initially applied to align a filtered shaft signal to a reference signal of constant frequency, followed by reconstructing the bearing envelope signal. The resulting envelope signal is able to provide a richer fault indication than the original signal. The efficacy of the developed OT method is established using a simulation analysis followed by experimental validation using measurements obtained from a laboratory test-rig and a wind turbine bearing.



中文翻译:

时变工况下轴承运行的一种新型无转速阶次分析方法

基于从时频表示 (TFR) 估计的瞬时频率 (IF) 的振动包络信号的阶次跟踪 (OT) 通常用于检测时变速度条件下的轴承缺陷。然而,这些基于 TFR 的 OT 方法需要高分辨率才能准确估计 IF。为了克服这些问题,本文首次将基于快速动态时间扭曲(FDTW)算法的无转速计 OT 技术应用于轴承缺陷检测。基于 FDTW 的信号变换最初用于将滤波后的轴信号与恒定频率的参考信号对齐,然后重建轴承包络信号。结果包络信号能够提供比原始信号更丰富的故障指示。

更新日期:2021-09-24
down
wechat
bug