Compound Fault Diagnosis of Bearings Using an Improved Spectral Kurtosis by MCDK

المؤلفون المشاركون

Wan, Shuting
Zhang, Xiong
Dou, Longjiang

المصدر

Mathematical Problems in Engineering

العدد

المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-12، 12ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2018-03-19

دولة النشر

مصر

عدد الصفحات

12

التخصصات الرئيسية

هندسة مدنية

الملخص EN

The fast spectrum kurtosis (FSK) algorithm can adaptively identify and select the resonant frequency band and extract the fault feature by the envelope demodulation method.

However, in practical applications, the fault source may be located in different resonant frequency bands; plus in noise interference, the weak side of the compound fault is not easy to be identified by the FSK.

In order to improve the accuracy of fast spectral kurtosis analysis method, a modified method based on maximum correlation kurtosis deconvolution (MCKD) is proposed.

According to the possible fault characteristic frequencies, the period of MCKD is calculated, and the appropriate filter length is selected to filter the original compound fault signal.

In this way, the compound fault located in different resonance bands is separated.

Then, the signal after MCKD filtering is analyzed by FSK.

Through the simulation and experimental analysis, the MCKD can separate the compound fault information in different frequency band and eliminate the noise interference; the FSK can accurately identify the resonance frequency and identify the weak fault characteristics of compound fault.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Wan, Shuting& Zhang, Xiong& Dou, Longjiang. 2018. Compound Fault Diagnosis of Bearings Using an Improved Spectral Kurtosis by MCDK. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1208453

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Wan, Shuting…[et al.]. Compound Fault Diagnosis of Bearings Using an Improved Spectral Kurtosis by MCDK. Mathematical Problems in Engineering No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1208453

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Wan, Shuting& Zhang, Xiong& Dou, Longjiang. Compound Fault Diagnosis of Bearings Using an Improved Spectral Kurtosis by MCDK. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1208453

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1208453