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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publicationProceedings of IncoME-V & CEPE Net-2020
Subtitle of host publicationCondition Monitoring, Plant Maintenance and Reliability
EditorsDong Zhen, Dong Wang, Tianyang Wang, Hongjun Wang, Baoshan Huang, Jyoti K. Sinha, Andrew David Ball
Place of PublicationCham
PublisherSpringer Nature Switzerland AG
Pages228-236
Number of pages9
Volume105
Edition1st
ISBN (Electronic)9783030757939
ISBN (Print)9783030757922
DOIs
Publication statusPublished - 16 May 2021
Event5th International Conference on Maintenance Engineering and the 2020 Annual Conference of the Centre for Efficiency and Performance Engineering Network - Zhuhai, China
Duration: 23 Oct 202025 Oct 2020
Conference number: 5
https://link.springer.com/book/10.1007/978-3-030-75793-9#about

Publication series

NameMechanisms and Machine Science
Volume105
ISSN (Print)2211-0984
ISSN (Electronic)2211-0992

Conference

Conference5th International Conference on Maintenance Engineering and the 2020 Annual Conference of the Centre for Efficiency and Performance Engineering Network
Abbreviated titleIncoME-V and CEPE Net-2020
CountryChina
CityZhuhai
Period23/10/2025/10/20
Internet address

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