Lifetime Monitoring of Wind Turbines
(2005) In MSc ThesesDepartment of Automatic Control
- Abstract
- The aim of this thesis was to design and implement a lifetime monitoring system for a GE Energy wind turbine. Monitoring the loads on the main components of a wind turbine makes it possible to keep the lifetime of the components monitored. This information can be used to enable more flexible planning of a wind turbine's maintenance. Knowing the estimated remaining lifetime makes it possible to change the components before they break. This increases both the security and availability of the wind turbine. The information from the lifetime monitoring system could possibly also be used directly by the wind turbine's main controller in order to optimize the operation of the wind turbine regarding its components lifetime and the turbine's energy... (More)
- The aim of this thesis was to design and implement a lifetime monitoring system for a GE Energy wind turbine. Monitoring the loads on the main components of a wind turbine makes it possible to keep the lifetime of the components monitored. This information can be used to enable more flexible planning of a wind turbine's maintenance. Knowing the estimated remaining lifetime makes it possible to change the components before they break. This increases both the security and availability of the wind turbine. The information from the lifetime monitoring system could possibly also be used directly by the wind turbine's main controller in order to optimize the operation of the wind turbine regarding its components lifetime and the turbine's energy capture. Several load-cycle counting methods were investigated and compared to each other and the rainflow counting method was found to be the most suitable. It was adapted, implemented and tested on a PLC (Programmable Logical Controller) mounted to a HITL (Hardware In The Loop) real-time simulation system that simulated the behavior of a GE 1.5 s/sl wind turbine. A method for calculating the fatigue, using the result from the rainflow counting, was implemented. The whole monitoring system was designed and implemented to work online, i.e., continuously calculating and displaying the lifetime of the monitored components. In order to realize an online rainflow counter, a novel approach for classification of the data-series was developed. A prototype of the system was installed on a GE Energy wind turbine in Salzbergen, Germany. Several tests were here performed in order to validate the system and to compare the simulated results with the measured results. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/8847966
- author
- Nilsson, Lars
- supervisor
- organization
- year
- 2005
- type
- H3 - Professional qualifications (4 Years - )
- subject
- publication/series
- MSc Theses
- report number
- TFRT-5759
- ISSN
- 0280-5316
- language
- English
- id
- 8847966
- date added to LUP
- 2016-03-18 09:51:30
- date last changed
- 2016-03-18 09:51:30
@misc{8847966,
abstract = {{The aim of this thesis was to design and implement a lifetime monitoring system for a GE Energy wind turbine. Monitoring the loads on the main components of a wind turbine makes it possible to keep the lifetime of the components monitored. This information can be used to enable more flexible planning of a wind turbine's maintenance. Knowing the estimated remaining lifetime makes it possible to change the components before they break. This increases both the security and availability of the wind turbine. The information from the lifetime monitoring system could possibly also be used directly by the wind turbine's main controller in order to optimize the operation of the wind turbine regarding its components lifetime and the turbine's energy capture. Several load-cycle counting methods were investigated and compared to each other and the rainflow counting method was found to be the most suitable. It was adapted, implemented and tested on a PLC (Programmable Logical Controller) mounted to a HITL (Hardware In The Loop) real-time simulation system that simulated the behavior of a GE 1.5 s/sl wind turbine. A method for calculating the fatigue, using the result from the rainflow counting, was implemented. The whole monitoring system was designed and implemented to work online, i.e., continuously calculating and displaying the lifetime of the monitored components. In order to realize an online rainflow counter, a novel approach for classification of the data-series was developed. A prototype of the system was installed on a GE Energy wind turbine in Salzbergen, Germany. Several tests were here performed in order to validate the system and to compare the simulated results with the measured results.}},
author = {{Nilsson, Lars}},
issn = {{0280-5316}},
language = {{eng}},
note = {{Student Paper}},
series = {{MSc Theses}},
title = {{Lifetime Monitoring of Wind Turbines}},
year = {{2005}},
}