Rolling Bearing Fault Diagnosis Based on CEEMD and Time Series Modeling

المؤلفون المشاركون

Yan, Ruqiang
Zhao, Liye
Yu, Wei

المصدر

Mathematical Problems in Engineering

العدد

المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-13، 13ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2014-07-07

دولة النشر

مصر

عدد الصفحات

13

التخصصات الرئيسية

هندسة مدنية

الملخص EN

Accurately identifying faults in rolling bearing systems by analyzing vibration signals, which are often nonstationary, is challenging.

To address this issue, a new approach based on complementary ensemble empirical mode decomposition (CEEMD) and time series modeling is proposed in this paper.

This approach seeks to identify faults appearing in a rolling bearing system using proper autoregressive (AR) model established from the nonstationary vibration signal.

First, vibration signals measured from a rolling bearing test system with different defect conditions are decomposed into a set of intrinsic mode functions (IMFs) by means of the CEEMD method.

Second, vibration signals are filtered with calculated filtering parameters.

Third, the IMF which is closely correlated to the filtered signal is selected according to the correlation coefficient between the filtered signal and each IMF, and then the AR model of the selected IMF is established.

Subsequently, the AR model parameters are considered as the input feature vectors, and the hidden Markov model (HMM) is used to identify the fault pattern of a rolling bearing.

Experimental study performed on a bearing test system has shown that the presented approach can accurately identify faults in rolling bearings.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Zhao, Liye& Yu, Wei& Yan, Ruqiang. 2014. Rolling Bearing Fault Diagnosis Based on CEEMD and Time Series Modeling. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-446415

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Zhao, Liye…[et al.]. Rolling Bearing Fault Diagnosis Based on CEEMD and Time Series Modeling. Mathematical Problems in Engineering No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-446415

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Zhao, Liye& Yu, Wei& Yan, Ruqiang. Rolling Bearing Fault Diagnosis Based on CEEMD and Time Series Modeling. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-446415

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-446415