The Library
Rolling element bearing fault diagnosis using integrated nonlocal means denoising with modified morphology filter operators
Tools
Tools
Tools
Mien, Van, Franciosa, Pasquale and Ceglarek, Darek (2016) Rolling element bearing fault diagnosis using integrated nonlocal means denoising with modified morphology filter operators. Mathematical Problems in Engineering, 2016 . pp. 1-14. 9657285. doi:10.1155/2016/9657285 ISSN 1024-123X .
|
PDF
WRAP_9657285.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (4Mb) | Preview |
Official URL: http://dx.doi.org/10.1155/2016/9657285
Abstract
The impulses in vibration signals are used to identify faults in the bearings of rotating machinery. However, vibration signals are usually contaminated by noise that makes the process of extracting impulse characteristic of localized defect very challenging. In order to effectively diagnose bearing with noise masking vibration signal, a new methodology is proposed using integrated (i) nonlocal means- (NLM-) based denoising and (ii) improved morphological filter operators. NLM based denoising is first employed to eliminate or reduce the background noise with minimal signal distortion. This denoised signal is then analysed by a proposed modified morphological analysis (MMA). The MMA analysis introduces a new morphological operator which is based on Modified-Different (DIF) filter to include only fault relevant impulsive characteristics of the vibration signal. To improve further performance of the methodology the length of the structure element (SE) used in MMA is optimized using a particle swarm optimization- (PSO-) based kurtosis criterion. The results of simulated and real vibration signal show that the integrated NLM with MMA method as well as the MMA method alone yields superior performance in extracting impulsive characteristics of vibrations signals, especially for signal with high level of noise or presence of other sources masking the fault.
| Item Type: | Journal Article | ||||||
|---|---|---|---|---|---|---|---|
| Subjects: | T Technology > TJ Mechanical engineering and machinery | ||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||
| Library of Congress Subject Headings (LCSH): | Bearings (Machinery) -- Vibration -- Mathematical models | ||||||
| Journal or Publication Title: | Mathematical Problems in Engineering | ||||||
| Publisher: | Hindawi Publishing | ||||||
| ISSN: | 1024-123X | ||||||
| Official Date: | 2016 | ||||||
| Dates: |
|
||||||
| Volume: | 2016 | ||||||
| Page Range: | pp. 1-14 | ||||||
| Article Number: | 9657285 | ||||||
| DOI: | 10.1155/2016/9657285 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||
| Date of first compliant deposit: | 31 March 2017 | ||||||
| Date of first compliant Open Access: | 4 April 2017 | ||||||
| Funder: | Engineering and Physical Sciences Research Council (EPSRC) | ||||||
| Grant number: | EP/K019368/1 |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
