Experimental Investigation on Condition Monitoring of Journal Bearing Lubrication Status Based on On-Rotor Sensing Signal

Zhifeng Hu; Mengdi Li; Yang Chen; Solomon Okhionkpamwonyi; Hao Zhang; Zewen Zhou; Fengshou Gu; Andrew D. Ball

doi:10.1007/978-3-031-69483-7_51

Experimental Investigation on Condition Monitoring of Journal Bearing Lubrication Status Based on On-Rotor Sensing Signal

Zhifeng Hu, Mengdi Li, Yang Chen, Solomon Okhionkpamwonyi, Hao Zhang, Zewen Zhou, Fengshou Gu, Andrew D. Ball

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic
Subtitle of host publication	TEPEN2024-IWFDP - Volume 3
Editors	Tongtong Liu, Fan Zhang, Shiqing Huang, Jingjing Wang, Fengshou Gu
Publisher	Springer, Cham
Pages	561-570
Number of pages	10
Volume	169
Edition	1st
ISBN (Electronic)	9783031694837
ISBN (Print)	9783031694820, 9783031694851
DOIs	https://doi.org/10.1007/978-3-031-69483-7_51
Publication status	Published - 4 Sept 2024
Event	TEPEN International Workshop on Fault Diagnostic and Prognostic - Qingdao, China Duration: 8 May 2024 → 11 May 2024

Publication series

Name	Mechanisms and Machine Science
Publisher	Springer
Volume	169 MMS
ISSN (Print)	2211-0984
ISSN (Electronic)	2211-0992

Conference

Conference	TEPEN International Workshop on Fault Diagnostic and Prognostic
Abbreviated title	TEPEN2024-IWFDP
Country/Territory	China
City	Qingdao
Period	8/05/24 → 11/05/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

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Hu, Z., Li, M., Chen, Y., Okhionkpamwonyi, S., Zhang, H., Zhou, Z., Gu, F., & Ball, A. D. (2024). Experimental Investigation on Condition Monitoring of Journal Bearing Lubrication Status Based on On-Rotor Sensing Signal. In T. Liu, F. Zhang, S. Huang, J. Wang, & F. Gu (Eds.), Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic : TEPEN2024-IWFDP - Volume 3 (1st ed., Vol. 169, pp. 561-570). (Mechanisms and Machine Science; Vol. 169 MMS). Springer, Cham. https://doi.org/10.1007/978-3-031-69483-7_51

Hu, Zhifeng ; Li, Mengdi ; Chen, Yang et al. / Experimental Investigation on Condition Monitoring of Journal Bearing Lubrication Status Based on On-Rotor Sensing Signal. Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic : TEPEN2024-IWFDP - Volume 3. editor / Tongtong Liu ; Fan Zhang ; Shiqing Huang ; Jingjing Wang ; Fengshou Gu. Vol. 169 1st. ed. Springer, Cham, 2024. pp. 561-570 (Mechanisms and Machine Science).

@inproceedings{05c8027c89a94fdabb35d14588596e02,

title = "Experimental Investigation on Condition Monitoring of Journal Bearing Lubrication Status Based on On-Rotor Sensing Signal",

abstract = "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.",

keywords = "1-Dimensional Continuous Wavelet Transform, Journal Bearing, On- Rotor Sensing, RMS",

author = "Zhifeng Hu and Mengdi Li and Yang Chen and Solomon Okhionkpamwonyi and Hao Zhang and Zewen Zhou and Fengshou Gu and Ball, \{Andrew D.\}",

note = "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: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; TEPEN International Workshop on Fault Diagnostic and Prognostic, TEPEN2024-IWFDP ; Conference date: 08-05-2024 Through 11-05-2024",

year = "2024",

month = sep,

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doi = "10.1007/978-3-031-69483-7\_51",

language = "English",

isbn = "9783031694820",

volume = "169",

series = "Mechanisms and Machine Science",

publisher = "Springer, Cham",

pages = "561--570",

editor = "Tongtong Liu and Fan Zhang and Shiqing Huang and Jingjing Wang and Fengshou Gu",

booktitle = "Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic",

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Hu, Z, Li, M, Chen, Y, Okhionkpamwonyi, S, Zhang, H, Zhou, Z, Gu, F & Ball, AD 2024, Experimental Investigation on Condition Monitoring of Journal Bearing Lubrication Status Based on On-Rotor Sensing Signal. in T Liu, F Zhang, S Huang, J Wang & F Gu (eds), Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic : TEPEN2024-IWFDP - Volume 3. 1st edn, vol. 169, Mechanisms and Machine Science, vol. 169 MMS, Springer, Cham, pp. 561-570, TEPEN International Workshop on Fault Diagnostic and Prognostic, Qingdao, China, 8/05/24. https://doi.org/10.1007/978-3-031-69483-7_51

Experimental Investigation on Condition Monitoring of Journal Bearing Lubrication Status Based on On-Rotor Sensing Signal. / Hu, Zhifeng; Li, Mengdi; Chen, Yang et al.
Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic : TEPEN2024-IWFDP - Volume 3. ed. / Tongtong Liu; Fan Zhang; Shiqing Huang; Jingjing Wang; Fengshou Gu. Vol. 169 1st. ed. Springer, Cham, 2024. p. 561-570 (Mechanisms and Machine Science; Vol. 169 MMS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 - https://www.scopus.com/pages/publications/85204387433

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 -

Hu Z, Li M, Chen Y, Okhionkpamwonyi S, Zhang H, Zhou Z et al. Experimental Investigation on Condition Monitoring of Journal Bearing Lubrication Status Based on On-Rotor Sensing Signal. In Liu T, Zhang F, Huang S, Wang J, Gu F, editors, Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic : TEPEN2024-IWFDP - Volume 3. 1st ed. Vol. 169. Springer, Cham. 2024. p. 561-570. (Mechanisms and Machine Science). Epub 2024 Sept 3. doi: 10.1007/978-3-031-69483-7_51

Experimental Investigation on Condition Monitoring of Journal Bearing Lubrication Status Based on On-Rotor Sensing Signal

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