TY - GEN
T1 - Experimental Investigation on Condition Monitoring of Journal Bearing Lubrication Status Based on On-Rotor Sensing Signal
AU - Hu, Zhifeng
AU - Li, Mengdi
AU - Chen, Yang
AU - Okhionkpamwonyi, Solomon
AU - Zhang, Hao
AU - Zhou, Zewen
AU - Gu, Fengshou
AU - Ball, Andrew D.
N1 - Funding Information:
This work was supported in part by the National Natural Science Foundation of China (Grant 52275102), and the China Scholarship Council (Grant No. 202308890011).
Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024/9/4
Y1 - 2024/9/4
N2 - Condition monitoring of the lubrication status of journal bearings is essential, as lubrication plays a critical role in the stable operation of the journal bearings. In this paper, a novel on -rotor sensing (ORS) technique is used for lubrication condition monitoring of journal bearing. By mounting triaxial accelerometers directly on the shaft end, vibration signals from journal bearing with high signal-to-noise ratio (SNR) can be collected. However, due to the direct mounting of the sensor on the shaft end, the acquired vibration signals are susceptible to the influence of rotational frequency and its harmonics. In this paper, the ORS vibration signals are further decomposed using the 1-dimensional continuous wavelet transform(1-DCWT) to obtain detail coefficients that are strongly corelated with the high-frequency information. The signals that are strongly correlated with the lubrication state are reconstructed by choosing appropriate detail coefficients, and the root-mean-square (RMS) values of the signals are calculated. The RMS values are strongly correlated with the lubrication patterns revealed by the torque values of journal bearing. The experiment results show that the ORS-based technique can reveal the lubrication state of journal bearings to a certain extent.
AB - Condition monitoring of the lubrication status of journal bearings is essential, as lubrication plays a critical role in the stable operation of the journal bearings. In this paper, a novel on -rotor sensing (ORS) technique is used for lubrication condition monitoring of journal bearing. By mounting triaxial accelerometers directly on the shaft end, vibration signals from journal bearing with high signal-to-noise ratio (SNR) can be collected. However, due to the direct mounting of the sensor on the shaft end, the acquired vibration signals are susceptible to the influence of rotational frequency and its harmonics. In this paper, the ORS vibration signals are further decomposed using the 1-dimensional continuous wavelet transform(1-DCWT) to obtain detail coefficients that are strongly corelated with the high-frequency information. The signals that are strongly correlated with the lubrication state are reconstructed by choosing appropriate detail coefficients, and the root-mean-square (RMS) values of the signals are calculated. The RMS values are strongly correlated with the lubrication patterns revealed by the torque values of journal bearing. The experiment results show that the ORS-based technique can reveal the lubrication state of journal bearings to a certain extent.
KW - 1-Dimensional Continuous Wavelet Transform
KW - Journal Bearing
KW - On- Rotor Sensing
KW - RMS
UR - http://www.scopus.com/inward/record.url?scp=85204387433&partnerID=8YFLogxK
UR - https://doi.org/10.1007/978-3-031-69483-7
U2 - 10.1007/978-3-031-69483-7_51
DO - 10.1007/978-3-031-69483-7_51
M3 - Conference contribution
AN - SCOPUS:85204387433
SN - 9783031694820
SN - 9783031694851
VL - 169
T3 - Mechanisms and Machine Science
SP - 561
EP - 570
BT - Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic
A2 - Liu, Tongtong
A2 - Zhang, Fan
A2 - Huang, Shiqing
A2 - Wang, Jingjing
A2 - Gu, Fengshou
PB - Springer, Cham
T2 - TEPEN International Workshop on Fault Diagnostic and Prognostic
Y2 - 8 May 2024 through 11 May 2024
ER -
