Gearbox Fault Diagnosis of Wind Turbine by KA and DRT

المؤلف

Haydari, Muhammad

المصدر

Journal of Energy

العدد

المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-6، 6ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2016-10-19

دولة النشر

مصر

عدد الصفحات

6

التخصصات الرئيسية

هندسة ميكانيكية

الملخص EN

The spectral kurtosis analysis (KA) is used to select the filter parameters (FPs) combined with the application of the demodulation resonance technique (DRT) for a gearbox fault diagnosis (FD) of wind turbine.

Based on the proposed method, the FPs can be selected automatically according to the kurtosis maximization principle.

By changing of the shaft speed under the variable loads conditions, the natural frequency (NF) of the gearbox will be shifted and will affect the accuracy of the detection of the faults.

So, the effect of the external loads on the NF of the gearbox is examined based on the simulation of the gearbox.

In addition, the fast kurtogram (FK) combined with the demodulated resonance technology is used to process the simulated faulty signal of a gearbox.

The results show that the FD of the gearbox is modified by correcting the NF shifts due to the variation of the operating loads.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Haydari, Muhammad. 2016. Gearbox Fault Diagnosis of Wind Turbine by KA and DRT. Journal of Energy،Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1108514

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Haydari, Muhammad. Gearbox Fault Diagnosis of Wind Turbine by KA and DRT. Journal of Energy No. 2016 (2016), pp.1-6.
https://search.emarefa.net/detail/BIM-1108514

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Haydari, Muhammad. Gearbox Fault Diagnosis of Wind Turbine by KA and DRT. Journal of Energy. 2016. Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1108514

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1108514