A novel synergistic diagnostic scheme for planetary gearboxes based on an analytical vibration model of planetary gear-sets

Liu Hong; Yongzhi Qu; Jaspreet Singh Dhupia; Yuegang Tan

doi:10.1109/PHM.2016.7819882

A novel synergistic diagnostic scheme for planetary gearboxes based on an analytical vibration model of planetary gear-sets

Liu Hong, Yongzhi Qu, Jaspreet Singh Dhupia, Yuegang Tan

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

2 Scopus citations

Abstract

The condition monitoring system of gearboxes usually employs accelerometers fixed on the gear housing to diagnose the gear damage. Such diagnostic system is essential in scheduling the maintenance of drive-Trains. However, the successful application of vibration based diagnostic techniques for planetary gearboxes is still challenging because of the complexities of the sideband behaviors in the measured vibration signal, which is a result of the revolution of the planets around the sun gear. Moreover, the performance of diagnostic techniques may further deteriorate since the measured vibration signals are often contaminated by the noise. Therefore, it is essential to develop a diagnostic scheme for extracting the fault signatures in planetary gear-sets. This paper begins with the summary of an analytical model of the planetary gear-sets developed by the authors that describes the characteristic behaviors of the fault introduced sidebands of the vibration spectrum picked by the fixed vibration sensor. This analytical model, which predicts the frequency components of planetary gear-sets, is easy to implement because the only prerequisite information is the basic geometry of the planetary gearbox. Afterwards, a novel vibration based diagnostic scheme for planetary gear-sets is developed. Its performance is then validated using simulated vibration signals generated from a dynamic model of the planetary gearbox. The proposed diagnostic scheme integrates the analytical vibration model, a de-noising algorithm and a frequency-domain indicator into one synergistic system for the early detection of damaged gear teeth in planetary gear-sets.

Original language	English (US)
Title of host publication	Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016
Editors	Qiang Miao, Zhaojun Li, Ming J. Zuo, Liudong Xing, Zhigang Tian
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509027781
DOIs	https://doi.org/10.1109/PHM.2016.7819882
State	Published - Jan 16 2017
Externally published	Yes
Event	7th IEEE Prognostics and System Health Management Conference, PHM-Chengdu 2016 - Chengdu, Sichuan, China Duration: Oct 19 2016 → Oct 21 2016

Publication series

Name	Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016

Conference

Conference	7th IEEE Prognostics and System Health Management Conference, PHM-Chengdu 2016
Country/Territory	China
City	Chengdu, Sichuan
Period	10/19/16 → 10/21/16

Bibliographical note

Funding Information:
The work is supported by National Natural Science Foundation of China (Grant no. 51505353) and Fundamental Research Funds for the Central Universities (WUT: 163104002).

Publisher Copyright:
© 2016 IEEE.

Keywords

Analytical vibration model
Diagnosis
Planetary gearbox

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10.1109/PHM.2016.7819882

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Hong, L., Qu, Y., Dhupia, J. S., & Tan, Y. (2017). A novel synergistic diagnostic scheme for planetary gearboxes based on an analytical vibration model of planetary gear-sets. In Q. Miao, Z. Li, M. J. Zuo, L. Xing, & Z. Tian (Eds.), Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016 Article 7819882 (Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PHM.2016.7819882

A novel synergistic diagnostic scheme for planetary gearboxes based on an analytical vibration model of planetary gear-sets. / Hong, Liu; Qu, Yongzhi; Dhupia, Jaspreet Singh et al.
Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016. ed. / Qiang Miao; Zhaojun Li; Ming J. Zuo; Liudong Xing; Zhigang Tian. Institute of Electrical and Electronics Engineers Inc., 2017. 7819882 (Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016).

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

Hong, L, Qu, Y, Dhupia, JS & Tan, Y 2017, A novel synergistic diagnostic scheme for planetary gearboxes based on an analytical vibration model of planetary gear-sets. in Q Miao, Z Li, MJ Zuo, L Xing & Z Tian (eds), Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016., 7819882, Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016, Institute of Electrical and Electronics Engineers Inc., 7th IEEE Prognostics and System Health Management Conference, PHM-Chengdu 2016, Chengdu, Sichuan, China, 10/19/16. https://doi.org/10.1109/PHM.2016.7819882

Hong L, Qu Y, Dhupia JS, Tan Y. A novel synergistic diagnostic scheme for planetary gearboxes based on an analytical vibration model of planetary gear-sets. In Miao Q, Li Z, Zuo MJ, Xing L, Tian Z, editors, Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016. Institute of Electrical and Electronics Engineers Inc. 2017. 7819882. (Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016). doi: 10.1109/PHM.2016.7819882

Hong, Liu ; Qu, Yongzhi ; Dhupia, Jaspreet Singh et al. / A novel synergistic diagnostic scheme for planetary gearboxes based on an analytical vibration model of planetary gear-sets. Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016. editor / Qiang Miao ; Zhaojun Li ; Ming J. Zuo ; Liudong Xing ; Zhigang Tian. Institute of Electrical and Electronics Engineers Inc., 2017. (Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016).

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abstract = "The condition monitoring system of gearboxes usually employs accelerometers fixed on the gear housing to diagnose the gear damage. Such diagnostic system is essential in scheduling the maintenance of drive-Trains. However, the successful application of vibration based diagnostic techniques for planetary gearboxes is still challenging because of the complexities of the sideband behaviors in the measured vibration signal, which is a result of the revolution of the planets around the sun gear. Moreover, the performance of diagnostic techniques may further deteriorate since the measured vibration signals are often contaminated by the noise. Therefore, it is essential to develop a diagnostic scheme for extracting the fault signatures in planetary gear-sets. This paper begins with the summary of an analytical model of the planetary gear-sets developed by the authors that describes the characteristic behaviors of the fault introduced sidebands of the vibration spectrum picked by the fixed vibration sensor. This analytical model, which predicts the frequency components of planetary gear-sets, is easy to implement because the only prerequisite information is the basic geometry of the planetary gearbox. Afterwards, a novel vibration based diagnostic scheme for planetary gear-sets is developed. Its performance is then validated using simulated vibration signals generated from a dynamic model of the planetary gearbox. The proposed diagnostic scheme integrates the analytical vibration model, a de-noising algorithm and a frequency-domain indicator into one synergistic system for the early detection of damaged gear teeth in planetary gear-sets.",

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AB - The condition monitoring system of gearboxes usually employs accelerometers fixed on the gear housing to diagnose the gear damage. Such diagnostic system is essential in scheduling the maintenance of drive-Trains. However, the successful application of vibration based diagnostic techniques for planetary gearboxes is still challenging because of the complexities of the sideband behaviors in the measured vibration signal, which is a result of the revolution of the planets around the sun gear. Moreover, the performance of diagnostic techniques may further deteriorate since the measured vibration signals are often contaminated by the noise. Therefore, it is essential to develop a diagnostic scheme for extracting the fault signatures in planetary gear-sets. This paper begins with the summary of an analytical model of the planetary gear-sets developed by the authors that describes the characteristic behaviors of the fault introduced sidebands of the vibration spectrum picked by the fixed vibration sensor. This analytical model, which predicts the frequency components of planetary gear-sets, is easy to implement because the only prerequisite information is the basic geometry of the planetary gearbox. Afterwards, a novel vibration based diagnostic scheme for planetary gear-sets is developed. Its performance is then validated using simulated vibration signals generated from a dynamic model of the planetary gearbox. The proposed diagnostic scheme integrates the analytical vibration model, a de-noising algorithm and a frequency-domain indicator into one synergistic system for the early detection of damaged gear teeth in planetary gear-sets.

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A novel synergistic diagnostic scheme for planetary gearboxes based on an analytical vibration model of planetary gear-sets

Abstract

Publication series

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Bibliographical note

Keywords

Access

OpenUrl availability

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