TY - GEN
T1 - A novel fault diagnostic technique for gearboxes under speed fluctuations without angular speed measurement
AU - Hong, Liu
AU - Qu, Yongzhi
AU - Dhupia, Jaspreet Singh
AU - Tan, Yuegang
PY - 2016/12/16
Y1 - 2016/12/16
N2 - In practice, fluctuations around the nominal operating speed often result in vibration spectra of gearboxes to appear smeared. Order tracking technique can be employed to remove the spectral smearing of such signals. However, this technique requires simultaneous measurements of vibration and rotational speed, which is often unavailable in industrial settings. Thus, a new diagnostic algorithm without a tachometer is proposed in this paper for monitoring of gear faults. This new tacho-less method uses fast dynamic time warping (FDTW) algorithm to remove the spectral smearing, is based on the introduction of an estimated reference signal having the same frequency as the nominal shaft rotational frequency. The effectiveness of this method is validated using both simulated signals from a fixed axis gear pair and experimental signals from a planetary gearbox test rig. The results demonstrate the ability of the proposed approach in extracting fault information from gearbox vibration signals under fluctuating speed conditions.
AB - In practice, fluctuations around the nominal operating speed often result in vibration spectra of gearboxes to appear smeared. Order tracking technique can be employed to remove the spectral smearing of such signals. However, this technique requires simultaneous measurements of vibration and rotational speed, which is often unavailable in industrial settings. Thus, a new diagnostic algorithm without a tachometer is proposed in this paper for monitoring of gear faults. This new tacho-less method uses fast dynamic time warping (FDTW) algorithm to remove the spectral smearing, is based on the introduction of an estimated reference signal having the same frequency as the nominal shaft rotational frequency. The effectiveness of this method is validated using both simulated signals from a fixed axis gear pair and experimental signals from a planetary gearbox test rig. The results demonstrate the ability of the proposed approach in extracting fault information from gearbox vibration signals under fluctuating speed conditions.
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U2 - 10.1109/ISFA.2016.7790127
DO - 10.1109/ISFA.2016.7790127
M3 - Conference contribution
AN - SCOPUS:85010496919
T3 - International Symposium on Flexible Automation, ISFA 2016
SP - 5
EP - 10
BT - International Symposium on Flexible Automation, ISFA 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - International Symposium on Flexible Automation, ISFA 2016
Y2 - 1 August 2016 through 3 August 2016
ER -