An Approach for Condition-Based Maintenance Optimization Applied to Wind Turbine Blades

被引:178
作者
Besnard, Francois [1 ,2 ]
Bertling, Lina [1 ,2 ]
机构
[1] Chalmers Univ Technol, Environm & Energy Dept, S-41296 Gothenburg, Sweden
[2] Chalmers Univ Technol, Div Elect Power Engn, S-41296 Gothenburg, Sweden
关键词
Blades; condition monitoring; degradation model; maintenance optimization; wind power; wind turbine; POWER-SYSTEMS; RELIABILITY;
D O I
10.1109/TSTE.2010.2049452
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A sound maintenance planning is of crucial importance for wind power systems. There is a large potential in cost savings by optimizing maintenance decisions to make the projects more cost-efficient. This paper presents an approach to optimize condition-based maintenance strategies for components which degradation can be classified according to the severity of the damage. The approach is applicable to inspection-based maintenance as well as maintenance based on online condition-monitoring systems. This enables us to compare the maintenance strategies within a unified framework. First decisions associated with the different maintenance strategies are optimized, then the expected life cycle maintenance costs of the strategies are compared. The model is applied to blades of wind turbine in order to compare three maintenance strategies: visual inspection, inspection with a condition-monitoring technique (e.g., ultrasonic or thermography), and online condition monitoring (e.g., fiber optic). It is shown that online condition monitoring is the optimal maintenance strategy for high failure rate and low crack time to failure. In other cases, inspection with condition-based maintenance is slightly more beneficial.
引用
收藏
页码:77 / 83
页数:7
相关论文
共 24 条
[1]   Wind Turbine Maintenance Optimisation: principles of quantitative maintenance optimisation [J].
Andrawus, Jesse ;
Watson, John ;
Kishk, Mohammed .
WIND ENGINEERING, 2007, 31 (02) :101-110
[2]   The Selection of a Suitable Maintenance Strategy for Wind Turbines [J].
Andrawus, Jesse ;
Watson, John ;
Kishk, Mohammed ;
Adam, Allan .
WIND ENGINEERING, 2006, 30 (06) :471-486
[3]  
[Anonymous], 2008, 20% Wind Energy by 2030: Increasing Wind Energy's Contribution to US Electricity Supply
[4]  
[Anonymous], 1996, Stochastic Processes
[5]   Reliability comparison of direct-drive and geared-drive wind turbine concepts [J].
Arabian-Hoseynabadi, H. ;
Tavner, P. J. ;
Oraee, H. .
WIND ENERGY, 2010, 13 (01) :62-73
[6]  
Besnard F., 2009, P IEEE POW TECH C BU
[7]   A review of NDT techniques for wind turbines [J].
Drewry, M. A. ;
Georgiou, G. A. .
INSIGHT, 2007, 49 (03) :137-141
[8]  
Eggen A. O., 2009, P EUR WIND EN C MARS
[9]   Probabilistic evaluation of the effect of maintenance on reliability - An application - Discussion [J].
Endrenyi, J ;
Anders, GJ ;
da Silva, AML .
IEEE TRANSACTIONS ON POWER SYSTEMS, 1998, 13 (02) :583-583
[10]  
Forster T., 2009, P EUR OFFSH WIND EN