Hybrid method for remaining useful life prediction in wind turbine systems

被引：91
|
作者：
Djeziri, M. A. [1 ]
Benmoussa, S. [2 ]
Sanchez, R. [3 ]
机构：
[1] UMR CNRS 7296, LSIS, Ave Escadrille Normandi Niemen, F-13397 Marseille, France
[2] Badji Mokhtar Annaba Univ, LASA, BP 12, Annaba 23000, Algeria
[3] Univ Michoacana, Fac Ingn Elect, Morelia 58000, Michoacan, Mexico
来源：
RENEWABLE ENERGY | 2018年 / 116卷
关键词：
Wind turbine; Fault prognosis; Fault diagnosis; Clustering; Bond graph modeling; FAULT-DIAGNOSIS; MODEL; PROGNOSIS;
D O I：
10.1016/j.renene.2017.05.020
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
This paper deals with fault prognosis of wind turbine in presence of multiple faults. First, a physical model is presented and used for structural analysis, sensor placement, and clusters generation characterizing the normal operation and the relevant faulty situations. Then, each cluster is surrounded by a spherical envelope to take into account modeling and parameter uncertainties. To perform fault prognosis, the geolocation principal is used to predict the Remaining Useful Lifetime, where the Euclidean distance between normal and faulty clusters, the degradation direction and velocity are calculated. The obtained results, using real wind data, are evaluated using the Prognosis Horizon and the Relative Accuracy metrics. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码：173 / 187
页数：15
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