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Vibration Analysis for Fault Detection of Wind Turbine Drivetrains—A Comprehensive Investigation
Vibration analysis is an effective tool for the condition monitoring and fault diagnosis of wind turbine drivetrains. It enables the defect location of mechanical subassemblies and health indicator construction for remaining useful life prediction, which is beneficial to reducing the operation and m...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7957485/ https://www.ncbi.nlm.nih.gov/pubmed/33804512 http://dx.doi.org/10.3390/s21051686 |
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author | Teng, Wei Ding, Xian Tang, Shiyao Xu, Jin Shi, Bingshuai Liu, Yibing |
author_facet | Teng, Wei Ding, Xian Tang, Shiyao Xu, Jin Shi, Bingshuai Liu, Yibing |
author_sort | Teng, Wei |
collection | PubMed |
description | Vibration analysis is an effective tool for the condition monitoring and fault diagnosis of wind turbine drivetrains. It enables the defect location of mechanical subassemblies and health indicator construction for remaining useful life prediction, which is beneficial to reducing the operation and maintenance costs of wind farms. This paper analyzes the structure features of different drivetrains of mainstream wind turbines and introduces a vibration data acquisition system. Almost all the research on the vibration-based diagnosis algorithm for wind turbines in the past decade is reviewed, with its effects being discussed. Several challenging tasks and their solutions in the vibration-based fault detection of wind turbine drivetrains are proposed from the perspective of practicality for wind turbines, including the fault detection of planetary subassemblies in multistage wind turbine gearboxes, fault feature extraction under nonstationary conditions, fault information enhancement techniques and health indicator construction. Numerous naturally damaged cases representing the real operational features of industrial wind turbines are given, with a discussion of the failure mechanism of defective parts in wind turbine drivetrains as well. |
format | Online Article Text |
id | pubmed-7957485 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79574852021-03-16 Vibration Analysis for Fault Detection of Wind Turbine Drivetrains—A Comprehensive Investigation Teng, Wei Ding, Xian Tang, Shiyao Xu, Jin Shi, Bingshuai Liu, Yibing Sensors (Basel) Review Vibration analysis is an effective tool for the condition monitoring and fault diagnosis of wind turbine drivetrains. It enables the defect location of mechanical subassemblies and health indicator construction for remaining useful life prediction, which is beneficial to reducing the operation and maintenance costs of wind farms. This paper analyzes the structure features of different drivetrains of mainstream wind turbines and introduces a vibration data acquisition system. Almost all the research on the vibration-based diagnosis algorithm for wind turbines in the past decade is reviewed, with its effects being discussed. Several challenging tasks and their solutions in the vibration-based fault detection of wind turbine drivetrains are proposed from the perspective of practicality for wind turbines, including the fault detection of planetary subassemblies in multistage wind turbine gearboxes, fault feature extraction under nonstationary conditions, fault information enhancement techniques and health indicator construction. Numerous naturally damaged cases representing the real operational features of industrial wind turbines are given, with a discussion of the failure mechanism of defective parts in wind turbine drivetrains as well. MDPI 2021-03-01 /pmc/articles/PMC7957485/ /pubmed/33804512 http://dx.doi.org/10.3390/s21051686 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Teng, Wei Ding, Xian Tang, Shiyao Xu, Jin Shi, Bingshuai Liu, Yibing Vibration Analysis for Fault Detection of Wind Turbine Drivetrains—A Comprehensive Investigation |
title | Vibration Analysis for Fault Detection of Wind Turbine Drivetrains—A Comprehensive Investigation |
title_full | Vibration Analysis for Fault Detection of Wind Turbine Drivetrains—A Comprehensive Investigation |
title_fullStr | Vibration Analysis for Fault Detection of Wind Turbine Drivetrains—A Comprehensive Investigation |
title_full_unstemmed | Vibration Analysis for Fault Detection of Wind Turbine Drivetrains—A Comprehensive Investigation |
title_short | Vibration Analysis for Fault Detection of Wind Turbine Drivetrains—A Comprehensive Investigation |
title_sort | vibration analysis for fault detection of wind turbine drivetrains—a comprehensive investigation |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7957485/ https://www.ncbi.nlm.nih.gov/pubmed/33804512 http://dx.doi.org/10.3390/s21051686 |
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