Vibration Fault Detection for Horizontal Axis Wind Turbines (HAWT)

This research has investigated novel vibration condition monitoring methods for horizontal-axis wind turbines for a range of case studies simulating various failure modes of the blades and tower, including the effect of coupling of rotating and non-rotating components of the system. A small scale ex...

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Bibliographic Details
Main Author: Al-Hadad, Mohammed
Format: Thesis
Published: Curtin University 2019
Online Access:http://hdl.handle.net/20.500.11937/77966
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author Al-Hadad, Mohammed
author_facet Al-Hadad, Mohammed
author_sort Al-Hadad, Mohammed
building Curtin Institutional Repository
collection Online Access
description This research has investigated novel vibration condition monitoring methods for horizontal-axis wind turbines for a range of case studies simulating various failure modes of the blades and tower, including the effect of coupling of rotating and non-rotating components of the system. A small scale experimental test rig has been created and developed to monitor vibration behaviour under different transient loads as a function of rotor phase, including the measurement of blade, driveshaft, and tower vibrations.
first_indexed 2025-11-14T11:11:11Z
format Thesis
id curtin-20.500.11937-77966
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T11:11:11Z
publishDate 2019
publisher Curtin University
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-779662020-02-19T04:43:01Z Vibration Fault Detection for Horizontal Axis Wind Turbines (HAWT) Al-Hadad, Mohammed This research has investigated novel vibration condition monitoring methods for horizontal-axis wind turbines for a range of case studies simulating various failure modes of the blades and tower, including the effect of coupling of rotating and non-rotating components of the system. A small scale experimental test rig has been created and developed to monitor vibration behaviour under different transient loads as a function of rotor phase, including the measurement of blade, driveshaft, and tower vibrations. 2019 Thesis http://hdl.handle.net/20.500.11937/77966 Curtin University fulltext
spellingShingle Al-Hadad, Mohammed
Vibration Fault Detection for Horizontal Axis Wind Turbines (HAWT)
title Vibration Fault Detection for Horizontal Axis Wind Turbines (HAWT)
title_full Vibration Fault Detection for Horizontal Axis Wind Turbines (HAWT)
title_fullStr Vibration Fault Detection for Horizontal Axis Wind Turbines (HAWT)
title_full_unstemmed Vibration Fault Detection for Horizontal Axis Wind Turbines (HAWT)
title_short Vibration Fault Detection for Horizontal Axis Wind Turbines (HAWT)
title_sort vibration fault detection for horizontal axis wind turbines (hawt)
url http://hdl.handle.net/20.500.11937/77966