Fault Diagnosis of Rolling Bearing Based on a Novel Adaptive High-Order Local Projection Denoising Method
Joint Authors
Lv, Yong
Yuan, Rui
Song, Gang-Bing
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-11
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Rolling bearings are vital components in rotary machinery, and their operating condition affects the entire mechanical systems.
As one of the most important denoising methods for nonlinear systems, local projection (LP) denoising method can be used to reduce noise effectively.
Afterwards, high-order polynomials are utilized to estimate the centroid of the neighborhood to better preserve complete geometry of attractors; thus, high-order local projection (HLP) can improve noise reduction performance.
This paper proposed an adaptive high-order local projection (AHLP) denoising method in the field of fault diagnosis of rolling bearings to deal with different kinds of vibration signals of faulty rolling bearings.
Optimal orders can be selected corresponding to vibration signals of outer ring fault (ORF) and inner ring fault (IRF) rolling bearings, because they have different nonlinear geometric structures.
The vibration signal model of faulty rolling bearing is adopted in numerical simulations, and the characteristic frequencies of simulated signals can be well extracted by the proposed method.
Furthermore, two kinds of experimental data have been processed in application researches, and fault frequencies of ORF and IRF rolling bearings can be both clearly extracted by the proposed method.
The theoretical derivation, numerical simulations, and application research can indicate that the proposed novel approach is promising in the field of fault diagnosis of rolling bearing.
American Psychological Association (APA)
Yuan, Rui& Lv, Yong& Song, Gang-Bing. 2018. Fault Diagnosis of Rolling Bearing Based on a Novel Adaptive High-Order Local Projection Denoising Method. Complexity،Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1133487
Modern Language Association (MLA)
Yuan, Rui…[et al.]. Fault Diagnosis of Rolling Bearing Based on a Novel Adaptive High-Order Local Projection Denoising Method. Complexity No. 2018 (2018), pp.1-15.
https://search.emarefa.net/detail/BIM-1133487
American Medical Association (AMA)
Yuan, Rui& Lv, Yong& Song, Gang-Bing. Fault Diagnosis of Rolling Bearing Based on a Novel Adaptive High-Order Local Projection Denoising Method. Complexity. 2018. Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1133487
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1133487