Tacholess Instantaneous Speed Estimation Considering the Characteristics of Vibration Harmonics



Published Sep 4, 2023
Jinoh Yoo Jongmin Park Taehyung Kim Jong Moon Ha Byeng Dong Youn


Knowledge of instantaneous shaft speed is vital for non- stationary condition monitoring of rotating machinery in real applications. To avoid installing expensive and inconvenient encoders, many researchers have developed instantaneous speed estimation methods by extracting the shaft speed from vibration signals. However, previous methods show limitations due to challenges in vibration signals. Therefore, we propose a novel instantaneous speed estimation method considering the characteristics of vibration harmonics to overcome the difficulties. Multiple harmonic components and their characteristics are utilized to obtain an accurate ridge in the time-frequency representation (TFR). The proposed method is validated and compared with the previous methods using a gear vibration simulated signal and civil aircraft engine dataset. The results show the accuracy and robustness of the proposed method.  

Abstract 119 | PDF Downloads 114



Tacholess instantaneous speed estimation, Non-stationary conditions, Vibration signal

Peeters, C., Leclère, Q., Antoni, J., Lindahl, P., Donnal, J., Leeb, S., & Helsen, J. (2019). Review and comparison of tacholess instantaneous speed estimation on experimental vibration data. Mechanical Systems and Signal Processing, 129, 407-436. doi: 10.1016/j.ymssp.2019.02.031

Leclère, Q., André, H., & Antoni, J. (2016). A multi-order probabilistic approach for Instantaneous Angular Speed tracking debriefing of the CMMNO’14 diagnosis contest. Mechanical Systems and Signal Processing, 81, 375386. doi: 10.1016/j.ymssp.2016.02.053

Peeters, C., Antoni, J., Leclère, A. (2016). Multi-harmonic phase demodulation method for instantaneous angular speed estimation using harmonic weighting. Mechanical Systems and Signal Processing, 167. doi: 10.1016/j.ymssp.2021.108533

Sucic, V., Saulig, N., Boashash, B., (2011). Estimating the number of components of a multicomponent nonstationary signal using the short-term time-frequency Rényi entropy. EURASIP J. Adv. Signal Process, 125. doi: 10.1186/1687-6180-2011-125

Peng. D., Smith. W.A., Randall R.B., Peng. Z., Mechefske C.K., (2021). Speed estimation in planetary gearboxes: A method for reducing impulsive noise. Mechanical Systems and Signal Processing, 159. doi: 10.1016/j.ymssp.2021.107786

Antoni. J., Griffaton. J., André. H., Avendaño-Valencia. L.D., Bonnardot. F., Cardona-Morales. O., CastellanosDominguez. G., Daga. A.P., Leclère. Q., Vicuña. C.M., Acuña D.Q., Ompusunggu A.P., and Sierra-Alonso. E.F., (2017). Feedback on the Surveillance 8 challenge: Vibration-based diagnosis of a Safran aircraft engine. Mechanical Systems and Signal Processing, 97, 112144. doi: 10.1016/j.ymssp.2017.01.037
Regular Session Papers