Torsional Vibration Characteristics of Wind Turbine Gear Systems Based on Inherent Randomness

Chao Fu; Guojin Feng; Fengshou Gu; Andrew David Ball

doi:10.1007/978-3-030-75793-9_23

Torsional Vibration Characteristics of Wind Turbine Gear Systems Based on Inherent Randomness

Chao Fu, Guojin Feng, Fengshou Gu, Andrew David Ball

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

Abstract

Wind turbines are widely used to produce renewable energy to alleviate the energy crisis. However, failures often occur in such systems which cause efficiency decreases and economic loss. Robust analyses and designs as well as effective condition monitoring play an important role for the safe operations of wind turbine gear systems (WTGS). To this end, the inherent randomness of the WTGS should be considered and its effects on the vibration characteristics need to be properly evaluated. In this investigation, the dispersions in material properties and dynamic features in a WTGS are studied by using the regression-based Polynomial Chaos Expansion (PCE). For deterministic simulation, the ODE45 solver in Matlab is employed. Stochastic characteristics under different operation conditions with uncertainty will be discussed. It is found that randomness has obvious influence on the torsional vibrations of the WTGS and cumulative propagation of the uncertainty may lead to unexpected dynamic behaviors.

Original language	English
Title of host publication	Proceedings of IncoME-V & CEPE Net-2020
Subtitle of host publication	Condition Monitoring, Plant Maintenance and Reliability
Editors	Dong Zhen, Dong Wang, Tianyang Wang, Hongjun Wang, Baoshan Huang, Jyoti K. Sinha, Andrew David Ball
Place of Publication	Cham
Publisher	Springer Nature Switzerland AG
Pages	228-236
Number of pages	9
Volume	105
Edition	1st
ISBN (Electronic)	9783030757939
ISBN (Print)	9783030757922
DOIs	https://doi.org/10.1007/978-3-030-75793-9_23
Publication status	Published - 16 May 2021
Event	5th International Conference on Maintenance Engineering and the 2020 Annual Conference of the Centre for Efficiency and Performance Engineering Network - Zhuhai, China Duration: 23 Oct 2020 → 25 Oct 2020 Conference number: 5 https://link.springer.com/book/10.1007/978-3-030-75793-9#about

Publication series

Name	Mechanisms and Machine Science
Volume	105
ISSN (Print)	2211-0984
ISSN (Electronic)	2211-0992

Conference

Conference	5th International Conference on Maintenance Engineering and the 2020 Annual Conference of the Centre for Efficiency and Performance Engineering Network
Abbreviated title	IncoME-V and CEPE Net-2020
Country/Territory	China
City	Zhuhai
Period	23/10/20 → 25/10/20
Internet address	https://link.springer.com/book/10.1007/978-3-030-75793-9#about

UN SDGs

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

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Cite this

Fu, C., Feng, G., Gu, F., & Ball, A. D. (2021). Torsional Vibration Characteristics of Wind Turbine Gear Systems Based on Inherent Randomness. In D. Zhen, D. Wang, T. Wang, H. Wang, B. Huang, J. K. Sinha, & A. D. Ball (Eds.), Proceedings of IncoME-V & CEPE Net-2020: Condition Monitoring, Plant Maintenance and Reliability (1st ed., Vol. 105, pp. 228-236). (Mechanisms and Machine Science; Vol. 105). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-030-75793-9_23

Fu, Chao ; Feng, Guojin ; Gu, Fengshou et al. / Torsional Vibration Characteristics of Wind Turbine Gear Systems Based on Inherent Randomness. Proceedings of IncoME-V & CEPE Net-2020: Condition Monitoring, Plant Maintenance and Reliability. editor / Dong Zhen ; Dong Wang ; Tianyang Wang ; Hongjun Wang ; Baoshan Huang ; Jyoti K. Sinha ; Andrew David Ball. Vol. 105 1st. ed. Cham : Springer Nature Switzerland AG, 2021. pp. 228-236 (Mechanisms and Machine Science).

@inproceedings{f40eb0cdd0e64a6d85893b12df4114c3,

title = "Torsional Vibration Characteristics of Wind Turbine Gear Systems Based on Inherent Randomness",

abstract = "Wind turbines are widely used to produce renewable energy to alleviate the energy crisis. However, failures often occur in such systems which cause efficiency decreases and economic loss. Robust analyses and designs as well as effective condition monitoring play an important role for the safe operations of wind turbine gear systems (WTGS). To this end, the inherent randomness of the WTGS should be considered and its effects on the vibration characteristics need to be properly evaluated. In this investigation, the dispersions in material properties and dynamic features in a WTGS are studied by using the regression-based Polynomial Chaos Expansion (PCE). For deterministic simulation, the ODE45 solver in Matlab is employed. Stochastic characteristics under different operation conditions with uncertainty will be discussed. It is found that randomness has obvious influence on the torsional vibrations of the WTGS and cumulative propagation of the uncertainty may lead to unexpected dynamic behaviors.",

keywords = "Gear system, Polynomial chaos, Randomness, Wind turbine",

author = "Chao Fu and Guojin Feng and Fengshou Gu and Ball, {Andrew David}",

note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 5th International Conference on Maintenance Engineering and the 2020 Annual Conference of the Centre for Efficiency and Performance Engineering Network, IncoME-V and CEPE Net-2020 ; Conference date: 23-10-2020 Through 25-10-2020",

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Fu, C, Feng, G, Gu, F & Ball, AD 2021, Torsional Vibration Characteristics of Wind Turbine Gear Systems Based on Inherent Randomness. in D Zhen, D Wang, T Wang, H Wang, B Huang, JK Sinha & AD Ball (eds), Proceedings of IncoME-V & CEPE Net-2020: Condition Monitoring, Plant Maintenance and Reliability. 1st edn, vol. 105, Mechanisms and Machine Science, vol. 105, Springer Nature Switzerland AG, Cham, pp. 228-236, 5th International Conference on Maintenance Engineering and the 2020 Annual Conference of the Centre for Efficiency and Performance Engineering Network, Zhuhai, China, 23/10/20. https://doi.org/10.1007/978-3-030-75793-9_23

Torsional Vibration Characteristics of Wind Turbine Gear Systems Based on Inherent Randomness. / Fu, Chao; Feng, Guojin; Gu, Fengshou et al.

Proceedings of IncoME-V & CEPE Net-2020: Condition Monitoring, Plant Maintenance and Reliability. ed. / Dong Zhen; Dong Wang; Tianyang Wang; Hongjun Wang; Baoshan Huang; Jyoti K. Sinha; Andrew David Ball. Vol. 105 1st. ed. Cham : Springer Nature Switzerland AG, 2021. p. 228-236 (Mechanisms and Machine Science; Vol. 105).

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

TY - GEN

T1 - Torsional Vibration Characteristics of Wind Turbine Gear Systems Based on Inherent Randomness

AU - Fu, Chao

AU - Feng, Guojin

AU - Gu, Fengshou

AU - Ball, Andrew David

N1 - Conference code: 5

PY - 2021/5/16

Y1 - 2021/5/16

N2 - Wind turbines are widely used to produce renewable energy to alleviate the energy crisis. However, failures often occur in such systems which cause efficiency decreases and economic loss. Robust analyses and designs as well as effective condition monitoring play an important role for the safe operations of wind turbine gear systems (WTGS). To this end, the inherent randomness of the WTGS should be considered and its effects on the vibration characteristics need to be properly evaluated. In this investigation, the dispersions in material properties and dynamic features in a WTGS are studied by using the regression-based Polynomial Chaos Expansion (PCE). For deterministic simulation, the ODE45 solver in Matlab is employed. Stochastic characteristics under different operation conditions with uncertainty will be discussed. It is found that randomness has obvious influence on the torsional vibrations of the WTGS and cumulative propagation of the uncertainty may lead to unexpected dynamic behaviors.

AB - Wind turbines are widely used to produce renewable energy to alleviate the energy crisis. However, failures often occur in such systems which cause efficiency decreases and economic loss. Robust analyses and designs as well as effective condition monitoring play an important role for the safe operations of wind turbine gear systems (WTGS). To this end, the inherent randomness of the WTGS should be considered and its effects on the vibration characteristics need to be properly evaluated. In this investigation, the dispersions in material properties and dynamic features in a WTGS are studied by using the regression-based Polynomial Chaos Expansion (PCE). For deterministic simulation, the ODE45 solver in Matlab is employed. Stochastic characteristics under different operation conditions with uncertainty will be discussed. It is found that randomness has obvious influence on the torsional vibrations of the WTGS and cumulative propagation of the uncertainty may lead to unexpected dynamic behaviors.

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PB - Springer Nature Switzerland AG

CY - Cham

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Y2 - 23 October 2020 through 25 October 2020

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Fu C, Feng G, Gu F , Ball AD. Torsional Vibration Characteristics of Wind Turbine Gear Systems Based on Inherent Randomness. In Zhen D, Wang D, Wang T, Wang H, Huang B, Sinha JK, Ball AD, editors, Proceedings of IncoME-V & CEPE Net-2020: Condition Monitoring, Plant Maintenance and Reliability. 1st ed. Vol. 105. Cham: Springer Nature Switzerland AG. 2021. p. 228-236. (Mechanisms and Machine Science). Epub 2021 May 16. doi: 10.1007/978-3-030-75793-9_23

Torsional Vibration Characteristics of Wind Turbine Gear Systems Based on Inherent Randomness

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