Gear Early Fault Diagnosis Based on Multi-resolution Subband Adaptive Filtering
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-49421-5_54
Reference11 articles.
1. Lal, H., Kane, P.V.: Gearbox fault detection using exponentially weighted moving average control charts. Mach. Mech. Robot. 39–47 (2019)
2. Teng, W., Wang, F., Zhang, K., et al.: Pitting fault detection of a wind turbine gearbox using empirical mode decomposition. Stroj Vestn-J Mech E 60(1), 12–20 (2014)
3. Yu, J.B., Zhou, X.K.: One-dimensional residual convolutional autoencoder based feature learning for gearbox fault diagnosis. IEEE Trans. Ind. Inf. 16(10), 6347–6358 (2020)
4. Widrow, B., Glover, J.R., McCool, J.M., et al.: Adaptive noise cancelling: principles and applications. Proc. IEEE 63(12), 1692–1716 (1975)
5. Mauricio, A., Zhou, L.H., Mba, D., et al.: Vibration-based condition monitoring of helicopter gearboxes based on cyclostationary analysis. J. Eng. Gas Turbines Power Print-Trans. ASME 142(3), 031010 (2020)
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