عرض بسيط للتسجيلة

المؤلفLiang, Jinping
المؤلفZhang, Ke
المؤلفAl-Durra, Ahmed
المؤلفMuyeen, S.M.
المؤلفZhou, Daming
تاريخ الإتاحة2023-02-26T08:29:58Z
تاريخ النشر2022
اسم المنشورEnergy Reports
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.1016/j.egyr.2022.03.178
معرّف المصادر الموحدhttp://hdl.handle.net/10576/40385
الملخصThe rapid expansion of installed wind energy capacity and the continuous development of wind turbine technology has drawn attention to operation and maintenance issues. In order to keep wind power a competitive energy source, the development of high-reliability and low-maintenance wind turbine systems is imminent, the rise of fault diagnosis provides a guarantee for their satisfactory operation and maintenance. A large number of statistical studies have pointed out that converter fault is the main cause of wind turbine system failure shutdown. Up to now, wind power converters' fault diagnosis has obtained fruitful results, and those are constantly reported in power system literature. This paper presents a state-of-the-art review on wind power converters' fault diagnosis for both short-circuit faults and open-circuit faults of power switch, including model-based, signal-based and data-driven methods. It provides a wide range, involving component fault modes, the robustness and reliability issues, algorithm investigation of fault diagnosis, quantitative analysis and qualitative analysis metrics for assessing the advantages of the developed techniques, and challenges in fault diagnosis design. Main purposes of this paper are: (1) Investigating the current research status of fault diagnosis on wind power converters to update the relevant research literature; (2) Discussing the robustness and reliability issues that must be considered in real engineering and safety critical systems; (3) Providing effective performance indices involves both quantitative and qualitative analysis, so that readers can understand the novelty of the proposed method. 2022 The Authors
راعي المشروعThis work was funded by the National Natural Science Foundation of China ( 51977177 ), Shaanxi Province Key Research and Development Plan 2021ZDLGY11-04 , Basic Research Plan of Natural Science in Shaanxi Province ( 2020JQ-152 ), the Fundamental Research Funds for the Central Universities, China ( D5000210763 ).
اللغةen
الناشرElsevier Ltd
الموضوعData-driven methods
Fault diagnosis
Model based methods
Qualitative analysis
Quantitative analysis
Robustness and reliability
Signal based methods
Wind power converter
العنوانA state-of-the-art review on wind power converter fault diagnosis
النوعArticle Review
الصفحات5341-5369
رقم المجلد8
dc.accessType Open Access


الملفات في هذه التسجيلة

Thumbnail

هذه التسجيلة تظهر في المجموعات التالية

عرض بسيط للتسجيلة