The Fault Feature Extraction of Rolling Bearing Based on EMD and Difference Spectrum of Singular Value

Joint Authors

Jiang, D. X.
Wang, N. F.
Han, Te

Source

Shock and Vibration

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-03-31

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Civil Engineering

Abstract EN

Nowadays, the fault diagnosis of rolling bearing in aeroengines is based on the vibration signal measured on casing, instead of bearing block.

However, the vibration signal of the bearing is often covered by a series of complex components caused by other structures (rotor, gears).

Therefore, when bearings cause failure, it is still not certain that the fault feature can be extracted from the vibration signal on casing.

In order to solve this problem, a novel fault feature extraction method for rolling bearing based on empirical mode decomposition (EMD) and the difference spectrum of singular value is proposed in this paper.

Firstly, the vibration signal is decomposed by EMD.

Next, the difference spectrum of singular value method is applied.

The study finds that each peak on the difference spectrum corresponds to each component in the original signal.

According to the peaks on the difference spectrum, the component signal of the bearing fault can be reconstructed.

To validate the proposed method, the bearing fault data collected on the casing are analyzed.

The results indicate that the proposed rolling bearing diagnosis method can accurately extract the fault feature that is submerged in other component signals and noise.

American Psychological Association (APA)

Han, Te& Jiang, D. X.& Wang, N. F.. 2016. The Fault Feature Extraction of Rolling Bearing Based on EMD and Difference Spectrum of Singular Value. Shock and Vibration،Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1119406

Modern Language Association (MLA)

Han, Te…[et al.]. The Fault Feature Extraction of Rolling Bearing Based on EMD and Difference Spectrum of Singular Value. Shock and Vibration No. 2016 (2016), pp.1-14.
https://search.emarefa.net/detail/BIM-1119406

American Medical Association (AMA)

Han, Te& Jiang, D. X.& Wang, N. F.. The Fault Feature Extraction of Rolling Bearing Based on EMD and Difference Spectrum of Singular Value. Shock and Vibration. 2016. Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1119406

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1119406